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Section 2 - Progress with Clinical Staging

Published online by Cambridge University Press:  08 August 2019

Patrick D. McGorry
Affiliation:
University of Melbourne
Ian B. Hickie
Affiliation:
University of Sydney
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Summary

For over a decade a transdiagnostic clinical staging framework for youth with anxiety, mood and psychotic disorders (linked with measurement of multidimensional outcomes), has been utilised in over 8,000 young people presenting to the enhanced primary (headspace) and secondary care clinics of the Brain and Mind Centre of the University of Sydney. This framework has been evaluated alongside a broad range of other clinical, neurobiological, neuropsychological, brain imaging, circadian, metabolic, longitudinal cohort and controlled intervention studies. This has led to specific tests of its concurrent, discriminant and predictive validity. These extensive data provide strong preliminary evidence that: i) varying stages of illness are associated with predicted differences in a range of independent and objectively measured neuropsychological and other biomarkers (both cross-sectionally and longitudinally); and, ii) that earlier stages of illness progress at variable rates to later and more severe or persistent disorders. Importantly, approximately 15-20% of those young people classed as stage 1b or ‘attenuated’ syndromes at presentation progress to more severe or persistent disorders. Consequently, this cohort should be the focus of active secondary prevention trials. In clinical practice, we are moving to combine the staging framework with likely pathophysiological paths (e.g. neurodevelopmental-psychotic, anxiety-depression, circadian-bipolar) to underpin enhanced treatment selection.

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Clinical Staging in Psychiatry
Making Diagnosis Work for Research and Treatment
, pp. 81 - 220
Publisher: Cambridge University Press
Print publication year: 2019

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References

Benca, R. M., Obermeyer, W. H., Thisted, R. A., & Gillin, J. C. (1992). Sleep and psychiatric disorders: a meta-analysis. Archives of General Psychiatry, 49(8), 651668.CrossRefGoogle ScholarPubMed
Bloom, D., Cafiero, E., Jane-Llopis, E., Abrahams-Gessel, S., Bloom, L., Fathima, S., … Weiss, J. (2012). The global economic burden of non-communicable diseases. Geneva: World Economic Forum.Google Scholar
Buckholtz, J. W., & Meyer-Lindenberg, A. (2012). Psychopathology and the human connectome: toward a transdiagnostic model of risk for mental illness. Neuron, 74(6), 9901004.CrossRefGoogle Scholar
Carpenter, J. S., Abelmann, A. C., Hatton, S. N., Robillard, R., Hermens, D. F., Bennett, M. R., … Hickie, I. B. (2017a). Pineal volume and evening melatonin in young people with affective disorders. Brain Imaging and Behavior, 11(6), 17411750.CrossRefGoogle ScholarPubMed
Carpenter, J. S., Robillard, R., Hermens, D. F., Naismith, S. L., Gordon, C., Scott, E. M., & Hickie, I. B. (2017b). Sleep–wake profiles and circadian rhythms of core temperature and melatonin in young people with affective disorders. Journal of Psychiatric Research, 94, 131138.CrossRefGoogle ScholarPubMed
Carpenter, J. S., Robillard, R., & Hickie, I. B. (2015a). Variations in the sleep–wake cycle from childhood to adulthood: chronobiological perspectives. ChronoPhysiology and Therapy, 5, 3749.Google Scholar
Carpenter, J. S., Robillard, R., Lee, R. S., Hermens, D. F., Naismith, S. L., White, D., … Hickie, I. B. (2015b). The relationship between sleep–wake cycle and cognitive functioning in young people with affective disorders. PLoS One, 10(4), e0124710.CrossRefGoogle ScholarPubMed
Casey, B. J., Craddock, N., Cuthbert, B. N., Hyman, S. E., Lee, F. S., & Ressler, K. J. (2013). DSM-5 and RDoC: progress in psychiatry research? Nature Reviews Neuroscience, 14(11), 810814.CrossRefGoogle ScholarPubMed
Copeland, W. E., Adair, C. E., Smetanin, P., Stiff, D., Briante, C., Colman, I., … Angold, A. (2013). Diagnostic transitions from childhood to adolescence to early adulthood. Journal of Child Psychology and Psychiatry, 54(7), 791799.CrossRefGoogle ScholarPubMed
Cross, S. P., Hermens, D. F., & Hickie, I. B. (2016). Treatment patterns and short-term outcomes in an early intervention youth mental health service. Early Intervention in Psychiatry, 10(1), 8897.CrossRefGoogle Scholar
Cross, S. P. M., Hermens, D. F., Scott, J., Salvador-Carulla, L., & Hickie, I. B. (2017a). Differential impact of current diagnosis and clinical stage on attendance at a youth mental health service. Early Intervention in Psychiatry, 11(3), 255262.CrossRefGoogle Scholar
Cross, S. P., Scott, J. L., Hermens, D. F., & Hickie, I. B. (2018). Variability in clinical outcomes for youths treated for subthreshold severe mental disorders at an early intervention service. Psychiatric Services, 69(5), 555561.CrossRefGoogle ScholarPubMed
Cross, S. P. M., Scott, J., & Hickie, I. B. (2017b). Predicting early transition from sub-syndromal presentations to major mental disorders. British Journal of Psychiatry Open, 3(5), 223227.CrossRefGoogle ScholarPubMed
Cuthbert, B. N., & Insel, T. R. (2013). Toward the future of psychiatric diagnosis: the seven pillars of RDoC. BMC Medicine, 11, 126.CrossRefGoogle ScholarPubMed
Dolsen, M. R., Asarnow, L. D., & Harvey, A. G. (2014). Insomnia as a transdiagnostic process in psychiatric disorders. Current Psychiatry Reports, 16(9), 471.CrossRefGoogle ScholarPubMed
Erskine, H. E., Moffitt, T. E., Copeland, W. E., Costello, E. J., Ferrari, A. J., Patton, G., … Scott, J. G. (2015). A heavy burden on young minds: the global burden of mental and substance use disorders in children and youth. Psychological Medicine, 45(7), 15111563.CrossRefGoogle Scholar
Fusar-Poli, P., Byrne, M., Valmaggia, L., Day, F., Tabraham, P., Johns, L., … Team, O. (2010). Social dysfunction predicts two years clinical outcome in people at ultra high risk for psychosis. Journal of Psychiatric Research, 44(5), 294301.CrossRefGoogle ScholarPubMed
Gore, F. M., Bloem, P. J. N., Patton, G. C., Ferguson, J., Joseph, V., Coffey, C., … Mathers, C. D. (2011). Global burden of disease in young people aged 10–24 years: a systematic analysis. Lancet, 377(9783), 20932102.CrossRefGoogle ScholarPubMed
Gradisar, M., Gardner, G., & Dohnt, H. (2011). Recent worldwide sleep patterns and problems during adolescence: a review and meta-analysis of age, region, and sleep. Sleep Medicine, 12(2), 110118.CrossRefGoogle ScholarPubMed
Gustavsson, A., Svensson, M., Jacobi, F., Allgulander, C., Alonso, J., & Beghi, E.; CDBE 2010 Study Group (2011). Cost of disorders of the brain in Europe 2010. European Neuropsychopharmacology, 21(10), 718779.CrossRefGoogle ScholarPubMed
Hafner, H., an der Heiden, W., & Maurer, K. (2008). Evidence for separate diseases? Stages of one disease or different combinations of symptom dimensions? European Archives of Psychiatry and Clinical Neuroscience, 258(Suppl. 2), 8596.CrossRefGoogle ScholarPubMed
Hamilton, B. A., Naismith, S. L., Scott, E. M., Purcell, S., & Hickie, I. B. (2011). Disability is already pronounced in young people with early stages of affective disorders: data from an early intervention service. Journal of Affective Disorders, 131(1–3), 8491.CrossRefGoogle ScholarPubMed
Harvey, A. G., Murray, G., Chandler, R. A., & Soehner, A. (2011). Sleep disturbance as transdiagnostic: consideration of neurobiological mechanisms. Clinical Psychology Review, 31(2), 225235.CrossRefGoogle ScholarPubMed
Hermens, D. F., Naismith, S. L., Lagopoulos, J., Lee, R. S. C., Guastella, A. J., Scott, E. M., & Hickie, I. B. (2013). Neuropsychological profile according to the clinical stage of young persons presenting for mental health care. BMC Psychology, 1, 8.CrossRefGoogle ScholarPubMed
Hickie, I. B., Hermens, D. F., Naismith, S. L., Guastella, A. J., Glozier, N., Scott, J., & Scott, E. M. (2013a). Evaluating differential developmental trajectories to adolescent-onset mood and psychotic disorders. BMC Psychiatry, 13, 303.CrossRefGoogle ScholarPubMed
Hickie, I. B., Naismith, S. L., Robillard, R., Scott, E. M., & Hermens, D. F. (2013b). Manipulating the sleep–wake cycle and circadian rhythms to improve clinical management of major depression. BMC Medicine, 11, 79.CrossRefGoogle ScholarPubMed
Hickie, I. B., Scott, E. M., Hermens, D. F., Naismith, S. L., Guastella, A. J., Kaur, M., … McGorry, P. D. (2013c). Applying clinical staging to young people who present for mental health care. Early Intervention in Psychiatry, 7(1), 3143.CrossRefGoogle ScholarPubMed
Hickie, I. B., Scott, J., Hermens, D. F., Scott, E. M., Naismith, S. L., Guastella, A. J., … McGorry, P. D. (2013d). Clinical classification in mental health at the cross-roads: which direction next? BMC Medicine, 11, 125.CrossRefGoogle ScholarPubMed
Hickie, I. B., Scott, J., & McGorry, P. D. (2013e). Clinical staging for mental disorders: a new development in diagnostic practice in mental health. Medical Journal of Australia, 198(9), 461462.CrossRefGoogle ScholarPubMed
Insel, T. R. (2007). The arrival of preemptive psychiatry. Early Intervention in Psychiatry, 1(1), 56.CrossRefGoogle ScholarPubMed
Insel, T. R. (2009). Translating scientific opportunity into public health impact: a strategic plan for research on mental illness. Archives of General Psychiatry, 66(2), 128133.CrossRefGoogle ScholarPubMed
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., … Wang, P. (2010). Research Domain Criteria (RDoC): toward a new classification framework for research on mental disorders. American Journal of Psychiatry, 167(7), 748751.CrossRefGoogle Scholar
Jones, S. G., & Benca, R. M. (2015). Circadian disruption in psychiatric disorders. Sleep Medicine Clinics, 10(4), 481493.CrossRefGoogle ScholarPubMed
Karatsoreos, I. N. (2014). Links between circadian rhythms and psychiatric disease. Frontiers in Behavioral Neuroscience, 8, 162.CrossRefGoogle ScholarPubMed
Kelleher, I., Keeley, H., Corcoran, P., Lynch, F., Fitzpatrick, C., Devlin, N., … Cannon, M. (2012). Clinicopathological significance of psychotic experiences in non-psychotic young people: evidence from four population-based studies. British Journal of Psychiatry, 201(1), 2632.CrossRefGoogle ScholarPubMed
Kim-Cohen, J., Caspi, A., Moffitt, T. E., Harrington, H., Milne, B. J., & Poulton, R. (2003). Prior juvenile diagnoses in adults with mental disorder: developmental follow-back of a prospective-longitudinal cohort. Archives of General Psychiatry, 60(7), 709717.CrossRefGoogle ScholarPubMed
Kozak, M. J., & Cuthbert, B. N. (2016). The NIMH Research Domain Criteria Initiative: background, issues, and pragmatics. Psychophysiology, 53(3), 286297.CrossRefGoogle ScholarPubMed
Lagopoulos, J., Hermens, D. F., Hatton, S. N., Battisti, R. A., Tobias-Webb, J., White, D., … Hickie, I. B. (2013). Microstructural white matter changes are correlated with the stage of psychiatric illness. Translational Psychiatry, 3, e248.CrossRefGoogle ScholarPubMed
Lagopoulos, J., Hermens, D. F., Naismith, S. L., Scott, E. M., & Hickie, I. B. (2012). Frontal lobe changes occur early in the course of affective disorders in young people. BMC Psychiatry, 12, 4.CrossRefGoogle ScholarPubMed
Lee, R. S., Hermens, D. F., Naismith, S. L., Lagopoulos, J., Jones, A., Scott, J., … Hickie, I. B. (2015). Neuropsychological and functional outcomes in recent-onset major depression, bipolar disorder and schizophrenia-spectrum disorders: a longitudinal cohort study. Translational Psychiatry, 5, e555.CrossRefGoogle ScholarPubMed
Lee, R. S., Hermens, D. F., Redoblado-Hodge, M. A., Naismith, S. L., Porter, M. A., Kaur, M., … Hickie, I. B. (2013). Neuropsychological and socio-occupational functioning in young psychiatric outpatients: a longitudinal investigation. PLoS One, 8(3), e58176.CrossRefGoogle ScholarPubMed
Lee, R. S., Hermens, D. F., Scott, J., Redoblado-Hodge, M. A., Naismith, S. L., Lagopoulos, J., … Hickie, I. B. (2014). A meta-analysis of neuropsychological functioning in first-episode bipolar disorders. Journal of Psychiatric Research, 57C, 111.CrossRefGoogle Scholar
Lichtenstein, P., Yip, B. H., Björk, C., Pawitan, Y., Cannon, T. D., Sullivan, P. F., & Hultman, C. M. (2009). Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: a population-based study. Lancet, 373, 234239.CrossRefGoogle ScholarPubMed
Lin, A., Yung, A. R., Nelson, B., Brewer, W. J., Riley, R., Simmons, M., … Wood, S. J. (2013). Neurocognitive predictors of transition to psychosis: medium- to long-term findings from a sample at ultra-high risk for psychosis. Psychological Medicine, 43(11), 23492360.CrossRefGoogle ScholarPubMed
Lopez, A. D., Mathers, C. D., Ezzati, M., Jamison, D. T., & Murray, C. J. L. (2006). Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet, 367(9524), 17471757.CrossRefGoogle ScholarPubMed
Maziade, M., Rouleau, N., Merette, C., Cellard, C., Battaglia, M., Marino, C., … Roy, M. A. (2011). Verbal and visual memory impairments among young offspring and healthy adult relatives of patients with schizophrenia and bipolar disorder: selective generational patterns indicate different developmental trajectories. Schizophrenia Bulletin, 37(6), 12181228.CrossRefGoogle ScholarPubMed
McGorry, P. (2007). Issues for DSM-V: clinical staging – a heuristic pathway to valid nosology and safer, more effective treatment in psychiatry. American Journal of Psychiatry, 164(6), 859860.CrossRefGoogle Scholar
McGorry, P. D. (2010). Risk syndromes, clinical staging and DSM V: new diagnostic infrastructure for early intervention in psychiatry. Schizophrenia Research, 120(1–3), 4953.CrossRefGoogle Scholar
McGorry, P. D., Goldstone, S. D., Parker, A. G., Rickwood, D. J., & Hickie, I. B. (2014). Cultures for mental health care of young people: an Australian blueprint for reform. Lancet Psychiatry, 1(7), 559568.CrossRefGoogle ScholarPubMed
McGorry, P. D., Hickie, I. B., Yung, A. R., Pantelis, C., & Jackson, H. J. (2006). Clinical staging of psychiatric disorders: a heuristic framework for choosing earlier, safer and more effective interventions. Australian and New Zealand Journal of Psychiatry, 40, 616622.CrossRefGoogle ScholarPubMed
McGorry, P. D., Purcell, R., Hickie, I. B., Yung, A. R., Pantelis, C., & Jackson, H. J. (2007). Clinical staging: a heuristic model for psychiatry and youth mental health. Medical Journal of Australia, 187, S40S42.Google ScholarPubMed
McGorry, P. D., Yung, A. R., Bechdolf, A., & Amminger, P. (2008). Back to the future: predicting and reshaping the course of psychotic disorder. Archives of General Psychiatry, 65(1), 2526.CrossRefGoogle ScholarPubMed
Merikangas, K. R., Cui, L., Kattan, G., Carlson, G. A., Youngstrom, E. A., & Angst, J. (2012). Mania with and without depression in a community sample of US adolescents. Archives of General Psychiatry, 69(9), 943951.CrossRefGoogle Scholar
Merikangas, K. R., He, J.-P., Burstein, M., Swanson, S. A., Avenevoli, S., Cui, L., … Swendsen, J. (2010). Lifetime prevalence of mental disorders in U.S. adolescents: results from the National Comorbidity Survey Replication – Adolescent Supplement (NCS-A). Journal of the American Academy of Child and Adolescent Psychiatry, 49(10), 980989.CrossRefGoogle Scholar
Merikangas, K. R., Herrell, R., Swendsen, J., Rossler, W., Ajdacic-Gross, V., & Angst, J. (2008). Specificity of bipolar spectrum conditions in the comorbidity of mood and substance use disorders: results from the Zurich Cohort Study. Archives of General Psychiatry, 65(1), 4752.CrossRefGoogle ScholarPubMed
Murray, G. K., & Jones, P. B. (2012). Psychotic symptoms in young people without psychotic illness: mechanisms and meaning. British Journal of Psychiatry, 201(1), 46.CrossRefGoogle ScholarPubMed
Naismith, S. L., Hermens, D. F., Ip, T. K., Bolitho, S., Scott, E., Rogers, N. L., & Hickie, I. B. (2012). Circadian profiles in young people during the early stages of affective disorder. Translational Psychiatry, 2(5), e123.CrossRefGoogle ScholarPubMed
Naismith, S. L., Lagopoulos, J., Hermens, D. F., White, D., Duffy, S. L., Robillard, R., … Hickie, I. B. (2014). Delayed circadian phase is linked to glutamatergic functions in young people with affective disorders: a proton magnetic resonance spectroscopy study. BMC Psychiatry, 14, 345.CrossRefGoogle ScholarPubMed
Ormel, J., Raven, D., van Oort, F., Hartman, C. A., Reijneveld, S. A., Veenstra, R., … Oldehinkel, A. J. (2015). Mental health in Dutch adolescents: a TRAILS report on prevalence, severity, age of onset, continuity and co-morbidity of DSM disorders. Psychological Medicine, 45(2), 345360.CrossRefGoogle ScholarPubMed
Paus, T., Keshavan, M., & Giedd, J. N. (2008). Why do many psychiatric disorders emerge during adolescence? Nature Reviews Neuroscience, 9(12), 947957.CrossRefGoogle ScholarPubMed
Purcell, R., Jorm, A. F., Hickie, I. B., Yung, A. R., Pantelis, C., Amminger, G. P., … McGorry, P. D. (2015). Demographic and clinical characteristics of young people seeking help at youth mental health services: baseline findings of the Transitions Study. Early Intervention in Psychiatry, 9(6), 487497.CrossRefGoogle ScholarPubMed
Robillard, R., Hermens, D. F., Lee, R. S., Jones, A., Carpenter, J. S., White, D., … Hickie, I. B. (2016). Sleep–wake profiles predict longitudinal changes in manic symptoms and memory in young people with mood disorders. Journal of Sleep Research, 25(5), 549555.CrossRefGoogle ScholarPubMed
Robillard, R., Hermens, D. F., Naismith, S. L., White, D., Rogers, N. L., Ip, T. K., … Hickie, I. B. (2015). Ambulatory sleep–wake patterns and variability in young people with emerging mental disorders. Journal of Psychiatry and Neuroscience, 40(1), 2837.CrossRefGoogle ScholarPubMed
Robillard, R., Lagopoulos, J., Hermens, D. F., Naismith, S. L., Rogers, N. L., White, D., … Hickie, I. B. (2017). Lower in vivo myo-inositol in the anterior cingulate cortex correlates with delayed melatonin rhythms in young persons with depression. Frontiers in Neuroscience, 11, 336.CrossRefGoogle ScholarPubMed
Robillard, R., Naismith, S. L., Rogers, N. L., Ip, T. K., Hermens, D. F., Scott, E. M., & Hickie, I. B. (2013a). Delayed sleep phase in young people with unipolar or bipolar affective disorders. Journal of Affective Disorders, 145(2), 260263.CrossRefGoogle ScholarPubMed
Robillard, R., Naismith, S. L., Rogers, N. L., Scott, E. M., Ip, T. K., Hermens, D. F., & Hickie, I. B. (2013b). Sleep–wake cycle and melatonin rhythms in adolescents and young adults with mood disorders: comparison of unipolar and bipolar phenotypes. European Psychiatry, 28(7), 412416.CrossRefGoogle Scholar
Robillard, R., Naismith, S. L., Smith, K. L., Rogers, N. L., White, D., Terpening, Z., … Hickie, I. B. (2014). Sleep–wake cycle in young and older persons with a lifetime history of mood disorders. PLoS One, 9(2), e87763.CrossRefGoogle Scholar
Scott, E. M., Hermens, D. F., Glozier, N., Naismith, S. L., Guastella, A. J., & Hickie, I. B. (2012). Targeted primary care-based mental health services for young Australians. Medical Journal of Australia, 196(2), 136140.CrossRefGoogle ScholarPubMed
Scott, E. M., Hermens, D. F., Naismith, S. L., Guastella, A. J., De Regt, T., White, D., … Hickie, I. B. (2013a). Distinguishing young people with emerging bipolar disorders from those with unipolar depression. Journal of Affective Disorders, 144(3), 208215.CrossRefGoogle ScholarPubMed
Scott, E. M., Hermens, D. F., Naismith, S. L., Guastella, A. J., White, D., Whitwell, B. G., … Hickie, I. B. (2013b). Distress and disability in young adults presenting to clinical services with mood disorders. International Journal of Bipolar Disorders, 1, 23.CrossRefGoogle ScholarPubMed
Scott, E. M., Robillard, R., Hermens, D. F., Naismith, S. L., Rogers, N. L., Ip, T. K., … Hickie, I. B. (2016). Dysregulated sleep–wake cycles in young people are associated with emerging stages of major mental disorders. Early Intervention in Psychiatry, 10(1), 6370.CrossRefGoogle Scholar
Scott, J. (2011). Bipolar disorder: from early identification to personalized treatment. Early Intervention in Psychiatry, 5(2), 8990.CrossRefGoogle ScholarPubMed
Scott, J., Paykel, E., Morriss, R., Bentall, R., Kinderman, P., Johnson, T., … Hayhurst, H. (2006). Cognitive-behavioural therapy for severe and recurrent bipolar disorders: randomised controlled trial. British Journal of Psychiatry, 188, 313320.CrossRefGoogle ScholarPubMed
Scott, J., Scott, E. M., Hermens, D. F., Naismith, S. L., Guastella, A. J., White, D., … Hickie, I. B. (2014). Functional impairment in adolescents and young adults with emerging mood disorders. British Journal of Psychiatry, 205(5), 362368.CrossRefGoogle Scholar
Sullivan, P. F., Daly, M. J., & O’Donovan, M. (2012). Genetic architectures of psychiatric disorders: the emerging picture and its implications. Nature Reviews Genetics, 13(8), 537551.CrossRefGoogle ScholarPubMed
Sumiyoshi, T., Miyanishi, T., Seo, T., & Higuchi, Y. (2013). Electrophysiological and neuropsychological predictors of conversion to schizophrenia in at-risk subjects. Frontiers in Behavioral Neuroscience, 7, 148.CrossRefGoogle ScholarPubMed
Tickell, A. M., Lee, R. S. C., Hickie, I. B., & Hermens, D. F. (in press). The course of neuropsychological functioning in young people with attenuated vs discrete mental disorders. Early Intervention in Psychiatry. DOI: 10.1111/eip.12499.CrossRef
Valmaggia, L. R., Stahl, D., Yung, A. R., Nelson, B., Fusar-Poli, P., McGorry, P. D., & McGuire, P. K. (2013). Negative psychotic symptoms and impaired role functioning predict transition outcomes in the at-risk mental state: a latent class cluster analysis study. Psychological Medicine, 43(11), 23112325.CrossRefGoogle ScholarPubMed
Waszczuk, M. A., Zavos, H. M., Gregory, A. M., & Eley, T. C. (2014). The phenotypic and genetic structure of depression and anxiety disorder symptoms in childhood, adolescence, and young adulthood. JAMA Psychiatry, 71(8), 905916.CrossRefGoogle ScholarPubMed
Adler, C. M., DelBello, M. P., Jarvis, K., Levine, A., Adams, J., & Strakowski, S. M. (2007). Voxel-based study of structural changes in first-episode patients with bipolar disorder. Biological Psychiatry, 61(6), 776781.CrossRefGoogle ScholarPubMed
Adolphs, R. (2001). The neurobiology of social cognition. Current Opinion in Neurobiology, 11(2), 231239.CrossRefGoogle ScholarPubMed
Adriano, F., Caltagirone, C., & Spalletta, G. (2012). Hippocampal volume reduction in first-episode and chronic schizophrenia: a review and meta-analysis. Neuroscientist, 18(2), 180200.CrossRefGoogle ScholarPubMed
Andreasen, N. C., Carpenter, W. T. Jr, Kane, J. M., Lasser, R. A., Marder, S. R., & Weinberger, D. R. (2005). Remission in schizophrenia: proposed criteria and rationale for consensus. American Journal of Psychiatry, 162(3), 441449.CrossRefGoogle ScholarPubMed
Andreasen, N. C., Liu, D., Ziebell, S., Vora, A., & Ho, B. C. (2013). Relapse duration, treatment intensity, and brain tissue loss in schizophrenia: a prospective longitudinal MRI study. American Journal of Psychiatry, 170(6), 609615.CrossRefGoogle ScholarPubMed
Andreasen, N. C., Nopoulos, P., Magnotta, V., Pierson, R., Ziebell, S., & Ho, B. C. (2011). Progressive brain change in schizophrenia: a prospective longitudinal study of first-episode schizophrenia. Biological Psychiatry, 70(7), 672679.CrossRefGoogle ScholarPubMed
Ansell, B. R., Dwyer, D. B., Wood, S. J., Bora, E., Brewer, W. J., Proffitt, T. M., … Pantelis, C. (2014). Divergent effects of first-generation and second-generation antipsychotics on cortical thickness in first-episode psychosis. Psychological Medicine, 45, 515527.CrossRefGoogle ScholarPubMed
Arnone, D., Cavanagh, J., Gerber, D., Lawrie, S. M., Ebmeier, K. P., & McIntosh, A. M. (2009). Magnetic resonance imaging studies in bipolar disorder and schizophrenia: meta-analysis. British Journal of Psychiatry, 195(3), 194201.CrossRefGoogle ScholarPubMed
Atmaca, M., Ozdemir, H., & Yildirim, H. (2007). Corpus callosum areas in first-episode patients with bipolar disorder. Psychological Medicine, 37(5), 699704.CrossRefGoogle ScholarPubMed
Bechdolf, A., Wood, S. J., Nelson, B., Velakoulis, D., Yucel, M., Takahashi, T., … McGorry, P. D. (2012). Amygdala and insula volumes prior to illness onset in bipolar disorder: a magnetic resonance imaging study. Psychiatry Research, 201(1), 3439.CrossRefGoogle ScholarPubMed
Beck, A. T., Ward, C. H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4, 561571.CrossRefGoogle ScholarPubMed
Beyer, J. L., Young, R., Kuchibhatla, M., & Krishnan, K. R. (2009). Hyperintense MRI lesions in bipolar disorder: a meta-analysis and review. International Review of Psychiatry, 21(4), 394409.CrossRefGoogle ScholarPubMed
Bitter, S. M., Mills, N. P., Adler, C. M., Strakowski, S. M., & DelBello, M. P. (2011). Progression of amygdala volumetric abnormalities in adolescents after their first manic episode. Journal of the American Academy of Child and Adolescent Psychiatry, 50(10), 10171026.CrossRefGoogle ScholarPubMed
Bloemen, O. J., de Koning, M. B., Schmitz, N., Nieman, D. H., Becker, H. E., de Haan, L., … van Amelsvoort, T. A. (2010). White-matter markers for psychosis in a prospective ultra-high-risk cohort. Psychological Medicine, 40(8), 12971304.CrossRefGoogle Scholar
Bois, C., Whalley, H. C., McIntosh, A. M., & Lawrie, S. M. (2015). Structural magnetic resonance imaging markers of susceptibility and transition to schizophrenia: a review of familial and clinical high risk population studies. Journal of Psychopharmacology, 29(2), 144154.CrossRefGoogle ScholarPubMed
Boos, H. B., Aleman, A., Cahn, W., Hulshoff Pol, H., & Kahn, R. S. (2007). Brain volumes in relatives of patients with schizophrenia: a meta-analysis. Archives of General Psychiatry, 64(3), 297304.CrossRefGoogle ScholarPubMed
Bora, E., Fornito, A., Yucel, M., & Pantelis, C. (2010). Voxelwise meta-analysis of gray matter abnormalities in bipolar disorder. Biological Psychiatry, 67(11), 10971105.CrossRefGoogle ScholarPubMed
Bora, E., Harrison, B. J., Davey, C. G., Yucel, M., & Pantelis, C. (2012). Meta-analysis of volumetric abnormalities in cortico-striatal-pallidal-thalamic circuits in major depressive disorder. Psychological Medicine, 42(4), 671681.CrossRefGoogle ScholarPubMed
Borgwardt, S. J., Riecher-Rossler, A., Dazzan, P., Chitnis, X., Aston, J., Drewe, M., … McGuire, P. K. (2007). Regional gray matter volume abnormalities in the at risk mental state. Biological Psychiatry, 61(10), 11481156.CrossRefGoogle ScholarPubMed
Buschlen, J., Berger, G. E., Borgwardt, S. J., Aston, J., Gschwandtner, U., Pflueger, M. O., … Riecher-Rossler, A. (2011). Pituitary volume increase during emerging psychosis. Schizophrenia Research, 125(1), 4148.CrossRefGoogle ScholarPubMed
Campbell, S., & MacQueen, G. (2004). The role of the hippocampus in the pathophysiology of major depression. Journal of Psychiatry and Neuroscience, 29(6), 417426.Google ScholarPubMed
Cannon, T. D., Chung, Y., He, G., Sun, D., Jacobson, A., van Erp, T. G., … Heinssen, R. (2015). Progressive reduction in cortical thickness as psychosis develops: a multisite longitudinal neuroimaging study of youth at elevated clinical risk. Biological Psychiatry, 77(2), 147157.CrossRefGoogle ScholarPubMed
Cardoso de Almeida, J. R., & Phillips, M. L. (2013). Distinguishing between unipolar depression and bipolar depression: current and future clinical and neuroimaging perspectives. Biological Psychiatry, 73(2), 111118.CrossRefGoogle ScholarPubMed
Carletti, F., Woolley, J. B., Bhattacharyya, S., Perez-Iglesias, R., Fusar Poli, P., Valmaggia, L., … McGuire, P. K. (2012). Alterations in white matter evident before the onset of psychosis. Schizophrenia Bulletin, 38(6), 11701179.CrossRefGoogle Scholar
Carpenter, W. T., Bustillo, J. R., Thaker, G. K., van Os, J., Krueger, R. F., & Green, M. J. (2009). The psychoses: cluster 3 of the proposed meta-structure for DSM-V and ICD-11. Psychological Medicine, 39(12), 20252042.CrossRefGoogle ScholarPubMed
Chan, R. C., Di, X., McAlonan, G. M., & Gong, Q. Y. (2011). Brain anatomical abnormalities in high-risk individuals, first-episode, and chronic schizophrenia: an activation likelihood estimation meta-analysis of illness progression. Schizophrenia Bulletin, 37(1), 177188.CrossRefGoogle ScholarPubMed
Chen, Z., Cui, L., Li, M., Jiang, L., Deng, W., Ma, X., … Li, T. (2012). Voxel based morphometric and diffusion tensor imaging analysis in male bipolar patients with first-episode mania. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 36(2), 231238.CrossRefGoogle ScholarPubMed
Clark, S. R., Schubert, K. O., & Baune, B. T. (2015). Towards indicated prevention of psychosis: using probabilistic assessments of transition risk in psychosis prodrome. Journal of Neural Transmission, 122(1), 155169.CrossRefGoogle ScholarPubMed
Cocchi, L., Harding, I. H., Lord, A., Pantelis, C., Yucel, M., & Zalesky, A. (2014). Disruption of structure–function coupling in the schizophrenia connectome. NeuroImage: Clinical, 4, 779787.CrossRefGoogle ScholarPubMed
Cole, J., Costafreda, S. G., McGuffin, P., & Fu, C. H. (2011). Hippocampal atrophy in first episode depression: a meta-analysis of magnetic resonance imaging studies. Journal of Affective Disorders, 134(1–3), 483487.CrossRefGoogle ScholarPubMed
Cooper, D., Barker, V., Radua, J., Fusar-Poli, P., & Lawrie, S. M. (2014). Multimodal voxel-based meta-analysis of structural and functional magnetic resonance imaging studies in those at elevated genetic risk of developing schizophrenia. Psychiatry Research, 221(1), 6977.CrossRefGoogle ScholarPubMed
Cropley, V. L., & Pantelis, C. (2014). Using longitudinal imaging to map the ‘relapse signature’ of schizophrenia and other psychoses. Epidemiology and Psychiatric Sciences, 23(3), 219225.CrossRefGoogle ScholarPubMed
Davidson, L. L., & Heinrichs, R. W. (2003). Quantification of frontal and temporal lobe brain-imaging findings in schizophrenia: a meta-analysis. Psychiatry Research, 122(2), 6987.CrossRefGoogle ScholarPubMed
Dazzan, P., Soulsby, B., Mechelli, A., Wood, S. J., Velakoulis, D., Phillips, L. J., … Pantelis, C. (2012). Volumetric abnormalities predating the onset of schizophrenia and affective psychoses: an MRI study in subjects at ultrahigh risk of psychosis. Schizophrenia Bulletin, 38(5), 10831091.CrossRefGoogle ScholarPubMed
De Peri, L., Crescini, A., Deste, G., Fusar-Poli, P., Sacchetti, E., & Vita, A. (2012). Brain structural abnormalities at the onset of schizophrenia and bipolar disorder: a meta-analysis of controlled magnetic resonance imaging studies. Current Pharmaceutical Design, 18(4), 486494.CrossRefGoogle ScholarPubMed
Demjaha, A., Egerton, A., Murray, R. M., Kapur, S., Howes, O. D., Stone, J. M., & McGuire, P. K. (2014). Antipsychotic treatment resistance in schizophrenia associated with elevated glutamate levels but normal dopamine function. Biological Psychiatry, 75(5), e11e13.CrossRefGoogle ScholarPubMed
Desmyter, S., van Heeringen, C., & Audenaert, K. (2011). Structural and functional neuroimaging studies of the suicidal brain. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 35(4), 796808.CrossRefGoogle ScholarPubMed
Di, X., Chan, R. C., & Gong, Q. Y. (2009). White matter reduction in patients with schizophrenia as revealed by voxel-based morphometry: an activation likelihood estimation meta-analysis. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 33(8), 13901394.CrossRefGoogle ScholarPubMed
Du, M. Y., Wu, Q. Z., Yue, Q., Li, J., Liao, Y., Kuang, W. H., … Gong, Q. Y. (2012). Voxelwise meta-analysis of gray matter reduction in major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 36(1), 1116.CrossRefGoogle ScholarPubMed
Ducharme, S., Albaugh, M. D., Hudziak, J. J., Botteron, K. N., Nguyen, T. V., Truong, C., … Karama, S. (2014). Anxious/depressed symptoms are linked to right ventromedial prefrontal cortical thickness maturation in healthy children and young adults. Cerebral Cortex, 24(11), 29412950.CrossRefGoogle ScholarPubMed
Duman, R. S., Nakagawa, S., & Malberg, J. (2001). Regulation of adult neurogenesis by antidepressant treatment. Neuropsychopharmacology, 25(6), 836844.CrossRefGoogle ScholarPubMed
Eack, S. M., Hogarty, G. E., Cho, R. Y., Prasad, K. M., Greenwald, D. P., Hogarty, S. S., & Keshavan, M. S. (2010). Neuroprotective effects of cognitive enhancement therapy against gray matter loss in early schizophrenia: results from a 2-year randomized controlled trial. Archives of General Psychiatry, 67(7), 674682.CrossRefGoogle ScholarPubMed
Eichenbaum, H. (2004). Hippocampus: cognitive processes and neural representations that underlie declarative memory. Neuron, 44(1), 109120.CrossRefGoogle ScholarPubMed
Ellison-Wright, I., & Bullmore, E. (2009). Meta-analysis of diffusion tensor imaging studies in schizophrenia. Schizophrenia Research, 108(1–3), 310.CrossRefGoogle Scholar
Ellison-Wright, I., & Bullmore, E. (2010). Anatomy of bipolar disorder and schizophrenia: a meta-analysis. Schizophrenia Research, 117(1), 112.CrossRefGoogle ScholarPubMed
Ellison-Wright, I., Glahn, D. C., Laird, A. R., Thelen, S. M., & Bullmore, E. (2008). The anatomy of first-episode and chronic schizophrenia: an anatomical likelihood estimation meta-analysis. American Journal of Psychiatry, 165(8), 10151023.CrossRefGoogle ScholarPubMed
Eng, G. K., Sim, K., & Chen, S. H. (2015). Meta-analytic investigations of structural grey matter, executive domain-related functional activations, and white matter diffusivity in obsessive compulsive disorder: an integrative review. Neuroscience and Biobehavioral Reviews, 52, 233257.CrossRefGoogle ScholarPubMed
Farrow, T. F., Whitford, T. J., Williams, L. M., Gomes, L., & Harris, A. W. (2005). Diagnosis-related regional gray matter loss over two years in first episode schizophrenia and bipolar disorder. Biological Psychiatry, 58(9), 713723.CrossRefGoogle ScholarPubMed
Fontenelle, L. F., Oostermeijer, S., Harrison, B. J., Pantelis, C., & Yucel, M. (2011). Obsessive-compulsive disorder, impulse control disorders and drug addiction: common features and potential treatments. Drugs, 71(7), 827840.CrossRefGoogle ScholarPubMed
Fornito, A., Yucel, M., Patti, J., Wood, S. J., & Pantelis, C. (2009). Mapping grey matter reductions in schizophrenia: an anatomical likelihood estimation analysis of voxel-based morphometry studies. Schizophrenia Research, 108(1–3), 104113.CrossRefGoogle ScholarPubMed
Fornito, A., Yung, A. R., Wood, S. J., Phillips, L. J., Nelson, B., Cotton, S., … Yucel, M. (2008). Anatomic abnormalities of the anterior cingulate cortex before psychosis onset: an MRI study of ultra-high-risk individuals. Biological Psychiatry, 64(9), 758765.CrossRefGoogle ScholarPubMed
Frangou, S. (2014). A systems neuroscience perspective of schizophrenia and bipolar disorder. Schizophrenia Bulletin, 40(3), 523531.CrossRefGoogle ScholarPubMed
Frank, E., Nimgaonkar, V. L., Phillips, M. L., & Kupfer, D. J. (2015). All the world’s a (clinical) stage: rethinking bipolar disorder from a longitudinal perspective. Molecular Psychiatry, 20(1), 2331.CrossRefGoogle ScholarPubMed
Fu, C. H., Steiner, H., & Costafreda, S. G. (2013). Predictive neural biomarkers of clinical response in depression: a meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies. Neurobiology of Disease, 52, 7583.CrossRefGoogle ScholarPubMed
Fujino, J., Yamasaki, N., Miyata, J., Sasaki, H., Matsukawa, N., Takemura, A., … Murai, T. (2015). Anterior cingulate volume predicts response to cognitive behavioral therapy in major depressive disorder. Journal of Affective Disorders, 174, 397399.CrossRefGoogle ScholarPubMed
Fung, G., Cheung, C., Chen, E., Lam, C., Chiu, C., Law, C. W., … Chua, S. E. (2014). MRI predicts remission at 1 year in first-episode schizophrenia in females with larger striato-thalamic volumes. Neuropsychobiology, 69(4), 243248.CrossRefGoogle ScholarPubMed
Fusar-Poli, P., Crossley, N., Woolley, J., Carletti, F., Perez-Iglesias, R., Broome, M., … McGuire, P. (2011). White matter alterations related to P300 abnormalities in individuals at high risk for psychosis: an MRI-EEG study. Journal of Psychiatry and Neuroscience, 36(4), 239248.CrossRefGoogle ScholarPubMed
Fusar-Poli, P., Howes, O., Bechdolf, A., & Borgwardt, S. (2012a). Mapping vulnerability to bipolar disorder: a systematic review and meta-analysis of neuroimaging studies. Journal of Psychiatry and Neuroscience, 37(3), 170184.CrossRefGoogle ScholarPubMed
Fusar-Poli, P., Radua, J., McGuire, P., & Borgwardt, S. (2012b). Neuroanatomical maps of psychosis onset: voxel-wise meta-analysis of antipsychotic-naive VBM studies. Schizophrenia Bulletin, 38(6), 12971307.CrossRefGoogle ScholarPubMed
Fusar-Poli, P., Smieskova, R., Kempton, M. J., Ho, B. C., Andreasen, N. C., & Borgwardt, S. (2013). Progressive brain changes in schizophrenia related to antipsychotic treatment? A meta-analysis of longitudinal MRI studies. Neuroscience and Biobehavioral Reviews, 37(8), 16801691.CrossRefGoogle ScholarPubMed
Fusar-Poli, P., Smieskova, R., Serafini, G., Politi, P., & Borgwardt, S. (2014). Neuroanatomical markers of genetic liability to psychosis and first episode psychosis: a voxelwise meta-analytical comparison. World Journal of Biological Psychiatry, 15(3), 219228.CrossRefGoogle ScholarPubMed
Garner, B., Pariante, C. M., Wood, S. J., Velakoulis, D., Phillips, L., Soulsby, B., … Pantelis, C. (2005). Pituitary volume predicts future transition to psychosis in individuals at ultra-high risk of developing psychosis. Biological Psychiatry, 58(5), 417423.CrossRefGoogle ScholarPubMed
Gogtay, N., Vyas, N. S., Testa, R., Wood, S. J., & Pantelis, C. (2011). Age of onset of schizophrenia: perspectives from structural neuroimaging studies. Schizophrenia Bulletin, 37(3), 504513.CrossRefGoogle ScholarPubMed
Gupta, C. N., Calhoun, V. D., Rachakonda, S., Chen, J., Patel, V., Liu, J., … Turner, J. A. (2015). Patterns of gray matter abnormalities in schizophrenia based on an international mega-analysis. Schizophrenia Bulletin, 41(5), 11331142.CrossRefGoogle ScholarPubMed
Hahn, C., Lim, H. K., & Lee, C. U. (2014). Neuroimaging findings in late-onset schizophrenia and bipolar disorder. Journal of Geriatric Psychiatry and Neurology, 27(1), 5662.CrossRefGoogle ScholarPubMed
Haijma, S. V., Van Haren, N., Cahn, W., Koolschijn, P. C., Hulshoff Pol, H. E., & Kahn, R. S. (2013). Brain volumes in schizophrenia: a meta-analysis in over 18 000 subjects. Schizophrenia Bulletin, 39(5), 11291138.CrossRefGoogle ScholarPubMed
Hajek, T., Kopecek, M., Hoschl, C., & Alda, M. (2012). Smaller hippocampal volumes in patients with bipolar disorder are masked by exposure to lithium: a meta-analysis. Journal of Psychiatry and Neuroscience, 37(5), 333343.CrossRefGoogle ScholarPubMed
Hajek, T., Kopecek, M., Kozeny, J., Gunde, E., Alda, M., & Hoschl, C. (2009). Amygdala volumes in mood disorders: meta-analysis of magnetic resonance volumetry studies. Journal of Affective Disorders, 115(3), 395410.CrossRefGoogle ScholarPubMed
Han, K. M., Choi, S., Jung, J., Na, K. S., Yoon, H. K., Lee, M. S., & Ham, B. J. (2014). Cortical thickness, cortical and subcortical volume, and white matter integrity in patients with their first episode of major depression. Journal of Affective Disorders, 155, 4248.CrossRefGoogle ScholarPubMed
Heinze, K., Reniers, R. L., Nelson, B., Yung, A. R., Lin, A., Harrison, B. J., … Wood, S. J. (2015). Discrete alterations of brain network structural covariance in individuals at ultra-high risk for psychosis. Biological Psychiatry, 77(11), 989996.CrossRefGoogle ScholarPubMed
Hibar, D. P., Westlye, L. T., van Erp, T. G., Rasmussen, J., Leonardo, C. D., Faskowitz, J., … Andreassen, O. A. (2016). Subcortical volumetric abnormalities in bipolar disorder. Molecular Psychiatry, 21(12), 17101716.CrossRefGoogle ScholarPubMed
Hickie, I. B., Scott, E. M., Hermens, D. F., Naismith, S. L., Guastella, A. J., Kaur, M., … McGorry, P. D. (2013). Applying clinical staging to young people who present for mental health care. Early Intervention in Psychiatry, 7(1), 3143.CrossRefGoogle ScholarPubMed
Hikosaka, O. (2010). The habenula: from stress evasion to value-based decision-making. Nature Reviews Neuroscience, 11(7), 503513.CrossRefGoogle ScholarPubMed
Hirschfeld, R. M., Lewis, L., & Vornik, L. A. (2003). Perceptions and impact of bipolar disorder: how far have we really come? Results of the national depressive and manic-depressive association 2000 survey of individuals with bipolar disorder. Journal of Clinical Psychiatry, 64(2), 161174.CrossRefGoogle ScholarPubMed
Ho, B. C., Andreasen, N. C., Ziebell, S., Pierson, R., & Magnotta, V. (2011). Long-term antipsychotic treatment and brain volumes: a longitudinal study of first-episode schizophrenia. Archives of General Psychiatry, 68(2), 128137.CrossRefGoogle ScholarPubMed
Houenou, J., Frommberger, J., Carde, S., Glasbrenner, M., Diener, C., Leboyer, M., & Wessa, M. (2011). Neuroimaging-based markers of bipolar disorder: evidence from two meta-analyses. Journal of Affective Disorders, 132(3), 344355.CrossRefGoogle ScholarPubMed
Hulshoff Pol, H., & Bullmore, E. (2013). Neural networks in psychiatry. European Neuropsychopharmacology, 23(1), 16.CrossRefGoogle Scholar
Ide, S., Kakeda, S., Watanabe, K., Yoshimura, R., Abe, O., Hayashi, K., … Korogi, Y. (2015). Relationship between a BDNF gene polymorphism and the brain volume in treatment-naive patients with major depressive disorder: a VBM analysis of brain MRI. Psychiatry Research, 233(2), 120124.CrossRefGoogle ScholarPubMed
Ivleva, E. I., Morris, D. W., Moates, A. F., Suppes, T., Thaker, G. K., & Tamminga, C. A. (2010). Genetics and intermediate phenotypes of the schizophrenia–bipolar disorder boundary. Neuroscience and Biobehavioral Reviews, 34(6), 897921.CrossRefGoogle ScholarPubMed
Jenkins, L. M., Barba, A., Campbell, M., Lamar, M., Shankman, S. A., Leow, A. D., … Langenecker, S. A. (2016). Shared white matter alterations across emotional disorders: a voxel-based meta-analysis of fractional anisotropy. NeuroImage: Clinical, 12, 10221034.CrossRefGoogle ScholarPubMed
Jiang, J., Zhao, Y. J., Hu, X. Y., Du, M. Y., Chen, Z. Q., Wu, M., … Gong, Q. Y. (2017). Microstructural brain abnormalities in medication-free patients with major depressive disorder: a systematic review and meta-analysis of diffusion tensor imaging. Journal of Psychiatry and Neuroscience, 42(3), 150163.CrossRefGoogle ScholarPubMed
Johnstone, E. C., Crow, T. J., Frith, C. D., Husband, J., & Kreel, L. (1976). Cerebral ventricular size and cognitive impairment in chronic schizophrenia. Lancet, 2(7992), 924926.CrossRefGoogle ScholarPubMed
Judd, L. L., Akiskal, H. S., Schettler, P. J., Coryell, W., Endicott, J., Maser, J. D., … Keller, M. B. (2003). A prospective investigation of the natural history of the long-term weekly symptomatic status of bipolar II disorder. Archives of General Psychiatry, 60(3), 261269.CrossRefGoogle ScholarPubMed
Judd, L. L., Akiskal, H. S., Schettler, P. J., Endicott, J., Maser, J., Solomon, D. A., … Keller, M. B. (2002). The long-term natural history of the weekly symptomatic status of bipolar I disorder. Archives of General Psychiatry, 59(6), 530537.CrossRefGoogle ScholarPubMed
Kandel, E. R., Schwartz, J. H., & Jessell, T. M. (2000). Principles of neural science (4th ed.). New York: McGraw-Hill Health Professions Division.Google Scholar
Kasai, K., Shenton, M. E., Salisbury, D. F., Hirayasu, Y., Lee, C. U., Ciszewski, A. A., … McCarley, R. W. (2003). Progressive decrease of left superior temporal gyrus gray matter volume in patients with first-episode schizophrenia. American Journal of Psychiatry, 160(1), 156164.CrossRefGoogle ScholarPubMed
Katagiri, N., Pantelis, C., Nemoto, T., Zalesky, A., Hori, M., Shimoji, K., … Mizuno, M. (2015). A longitudinal study investigating sub-threshold symptoms and white matter changes in individuals with an ‘at risk mental state’ (ARMS). Schizophrenia Research, 162(1–3), 713.CrossRefGoogle Scholar
Kelly, P. A., Viding, E., Wallace, G. L., Schaer, M., De Brito, S. A., Robustelli, B., & McCrory, E. J. (2013). Cortical thickness, surface area, and gyrification abnormalities in children exposed to maltreatment: neural markers of vulnerability? Biological Psychiatry, 74(11), 845852.CrossRefGoogle Scholar
Kempton, M. J., Geddes, J. R., Ettinger, U., Williams, S. C., & Grasby, P. M. (2008). Meta-analysis, database, and meta-regression of 98 structural imaging studies in bipolar disorder. Archives of General Psychiatry, 65(9), 10171032.CrossRefGoogle ScholarPubMed
Kempton, M. J., & McGuire, P. (2015). How can neuroimaging facilitate the diagnosis and stratification of patients with psychosis? European Neuropsychopharmacology, 25(5), 725732.CrossRefGoogle ScholarPubMed
Kempton, M. J., Salvador, Z., Munafo, M. R., Geddes, J. R., Simmons, A., Frangou, S., & Williams, S. C. (2011). Structural neuroimaging studies in major depressive disorder: meta-analysis and comparison with bipolar disorder. Archives of General Psychiatry, 68(7), 675690.CrossRefGoogle ScholarPubMed
Kempton, M. J., Stahl, D., Williams, S. C., & DeLisi, L. E. (2010). Progressive lateral ventricular enlargement in schizophrenia: a meta-analysis of longitudinal MRI studies. Schizophrenia Research, 120(1–3), 5462.CrossRefGoogle ScholarPubMed
Keshavan, M. S., Eack, S. M., Wojtalik, J. A., Prasad, K. M., Francis, A. N., Bhojraj, T. S., … Hogarty, S. S. (2011). A broad cortical reserve accelerates response to cognitive enhancement therapy in early course schizophrenia. Schizophrenia Research, 130(1–3), 123129.CrossRefGoogle ScholarPubMed
Klauser, P., Zhou, J., Lim, J. K., Poh, J. S., Zheng, H., Tng, H. Y., … Chee, M. W. (2015). Lack of evidence for regional brain volume or cortical thickness abnormalities in youths at clinical high risk for psychosis: findings from the Longitudinal Youth at Risk Study. Schizophrenia Bulletin, 41, 12851293.CrossRefGoogle ScholarPubMed
Kloppel, S., Abdulkadir, A., Jack, C. R. Jr, Koutsouleris, N., Mourao-Miranda, J., & Vemuri, P. (2012). Diagnostic neuroimaging across diseases. NeuroImage, 61(2), 457463.CrossRefGoogle ScholarPubMed
Koo, M. S., Levitt, J. J., Salisbury, D. F., Nakamura, M., Shenton, M. E., & McCarley, R. W. (2008). A cross-sectional and longitudinal magnetic resonance imaging study of cingulate gyrus gray matter volume abnormalities in first-episode schizophrenia and first-episode affective psychosis. Archives of General Psychiatry, 65(7), 746760.CrossRefGoogle ScholarPubMed
Koolschijn, P. C., van Haren, N. E., Lensvelt-Mulders, G. J., Hulshoff Pol, H. E., & Kahn, R. S. (2009). Brain volume abnormalities in major depressive disorder: a meta-analysis of magnetic resonance imaging studies. Human Brain Mapping, 30(11), 37193735.CrossRefGoogle ScholarPubMed
Koutsouleris, N., Meisenzahl, E. M., Davatzikos, C., Bottlender, R., Frodl, T., Scheuerecker, J., … Gaser, C. (2009). Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition. Archives of General Psychiatry, 66(7), 700712.CrossRefGoogle ScholarPubMed
Kozicky, J. M., Ha, T. H., Torres, I. J., Bond, D. J., Honer, W. G., Lam, R. W., & Yatham, L. N. (2013). Relationship between frontostriatal morphology and executive function deficits in bipolar I disorder following a first manic episode: data from the Systematic Treatment Optimization Program for Early Mania (STOP-EM). Bipolar Disorders, 15(6), 657668.CrossRefGoogle Scholar
Lagopoulos, J., Hermens, D. F., Hatton, S. N., Battisti, R. A., Tobias-Webb, J., White, D., … Hickie, I. B. (2013). Microstructural white matter changes are correlated with the stage of psychiatric illness. Translational Psychiatry, 3, e248.CrossRefGoogle ScholarPubMed
Lagopoulos, J., Hermens, D. F., Naismith, S. L., Scott, E. M., & Hickie, I. B. (2012). Frontal lobe changes occur early in the course of affective disorders in young people. BMC Psychiatry, 12, 4.CrossRefGoogle ScholarPubMed
Lai, C. H. (2013). Gray matter volume in major depressive disorder: a meta-analysis of voxel-based morphometry studies. Psychiatry Research, 211(1), 3746.CrossRefGoogle ScholarPubMed
Lai, C. H., & Wu, Y. T. (2015). The gray matter alterations in major depressive disorder and panic disorder: putative differences in the pathogenesis. Journal of Affective Disorders, 186, 16.CrossRefGoogle ScholarPubMed
Lesh, T. A., Tanase, C., Geib, B. R., Niendam, T. A., Yoon, J. H., Minzenberg, M. J., … Carter, C. S. (2015). A multimodal analysis of antipsychotic effects on brain structure and function in first-episode schizophrenia. JAMA Psychiatry, 72(3), 226234.CrossRefGoogle ScholarPubMed
Liao, Y., Huang, X., Wu, Q., Yang, C., Kuang, W., Du, M., … Gong, Q. (2013). Is depression a disconnection syndrome? Meta-analysis of diffusion tensor imaging studies in patients with MDD. Journal of Psychiatry and Neuroscience, 38(1), 4956.CrossRefGoogle ScholarPubMed
Lim, C. S., Baldessarini, R. J., Vieta, E., Yucel, M., Bora, E., & Sim, K. (2013). Longitudinal neuroimaging and neuropsychological changes in bipolar disorder patients: review of the evidence. Neuroscience and Biobehavioral Reviews, 37(3), 418435.CrossRefGoogle Scholar
Lin, A., Reniers, R. L., & Wood, S. J. (2013). Clinical staging in severe mental disorder: evidence from neurocognition and neuroimaging. British Journal of Psychiatry Supplement, 54, s11s17.CrossRefGoogle ScholarPubMed
Long, Z., Duan, X., Wang, Y., Liu, F., Zeng, L., Zhao, J. P., & Chen, H. (2015). Disrupted structural connectivity network in treatment-naive depressionProgress in Neuro-Psychopharmacology and Biological Psychiatry56, 1826.CrossRefGoogle ScholarPubMed
Lorenzetti, V., Solowij, N., Whittle, S., Fornito, A., Lubman, D. I., Pantelis, C., & Yucel, M. (2015). Gross morphological brain changes with chronic, heavy cannabis use. British Journal of Psychiatry, 206(1), 7778.CrossRefGoogle ScholarPubMed
Lyoo, I. K., Lee, H. K., Jung, J. H., Noam, G. G., & Renshaw, P. F. (2002). White matter hyperintensities on magnetic resonance imaging of the brain in children with psychiatric disorders. Comprehensive Psychiatry, 43(5), 361368.CrossRefGoogle ScholarPubMed
McDonald, C., Zanelli, J., Rabe-Hesketh, S., Ellison-Wright, I., Sham, P., Kalidindi, S., … Kennedy, N. (2004). Meta-analysis of magnetic resonance imaging brain morphometry studies in bipolar disorder. Biological Psychiatry, 56(6), 411417.CrossRefGoogle ScholarPubMed
McGorry, P. D. (2014). Beyond psychosis risk: early clinical phenotypes in mental disorder and the subthreshold pathway to safe, timely and effective care. Psychopathology, 47(5), 285286.CrossRefGoogle ScholarPubMed
McGorry, P., Keshavan, M., Goldstone, S., Amminger, P., Allott, K., Berk, M., … Hickie, I. (2014). Biomarkers and clinical staging in psychiatry. World Psychiatry, 13(3), 211223.CrossRefGoogle Scholar
McGorry, P. D., Purcell, R., Hickie, I. B., Yung, A. R., Pantelis, C., & Jackson, H. J. (2007). Clinical staging: a heuristic model for psychiatry and youth mental health. Medical Journal of Australia, 187(7 Suppl.), S40S42.Google ScholarPubMed
McIntosh, A. M., Owens, D. C., Moorhead, W. J., Whalley, H. C., Stanfield, A. C., Hall, J., … Lawrie, S. M. (2011). Longitudinal volume reductions in people at high genetic risk of schizophrenia as they develop psychosis. Biological Psychiatry, 69(10), 953958.CrossRefGoogle ScholarPubMed
Mills, N. P., Delbello, M. P., Adler, C. M., & Strakowski, S. M. (2005). MRI analysis of cerebellar vermal abnormalities in bipolar disorder. American Journal of Psychiatry, 162(8), 15301532.CrossRefGoogle ScholarPubMed
Mittal, V. A., Dean, D. J., Bernard, J. A., Orr, J. M., Pelletier-Baldelli, A., Carol, E. E., … Millman, Z. B. (2014). Neurological soft signs predict abnormal cerebellar-thalamic tract development and negative symptoms in adolescents at high risk for psychosis: a longitudinal perspective. Schizophrenia Bulletin, 40(6), 12041215.CrossRefGoogle ScholarPubMed
Moore, G. J., Bebchuk, J. M., Wilds, I. B., Chen, G., & Menji, H. K. (2000). Lithium-induced increase in human brain grey matter. Lancet356(9237), 12411242.CrossRefGoogle ScholarPubMed
Moore, M. T., Nathan, D., Elliott, A. R., & Laubach, C. (1935). Encephalographic studies in mental disease: an analysis of 152 cases. American Journal of Psychiatry, 92, 4367.CrossRefGoogle Scholar
Mueser, K. T., & McGurk, S. R. (2004). Schizophrenia. Lancet, 363(9426), 20632072.CrossRefGoogle ScholarPubMed
Munn, M. A., Alexopoulos, J., Nishino, T., Babb, C. M., Flake, L. A., Singer, T., … Botteron, K. N. (2007). Amygdala volume analysis in female twins with major depression. Biological Psychiatry, 62(5), 415422.CrossRefGoogle ScholarPubMed
Nakamura, M., Salisbury, D. F., Hirayasu, Y., Bouix, S., Pohl, K. M., Yoshida, T., … McCarley, R. W. (2007). Neocortical gray matter volume in first-episode schizophrenia and first-episode affective psychosis: a cross-sectional and longitudinal MRI study. Biological Psychiatry, 62(7), 773783.CrossRefGoogle ScholarPubMed
Nelson, B., Yuen, H. P., Wood, S. J., Lin, A., Spiliotacopoulos, D., Bruxner, A., … Yung, A. R. (2013). Long-term follow-up of a group at ultra high risk (‘prodromal’) for psychosis: the PACE 400 study. JAMA Psychiatry, 70(8), 793802.CrossRefGoogle Scholar
Nelson, M. D., Saykin, A. J., Flashman, L. A., & Riordan, H. J. (1998). Hippocampal volume reduction in schizophrenia as assessed by magnetic resonance imaging: a meta-analytic study. Archives of General Psychiatry, 55(5), 433440.CrossRefGoogle ScholarPubMed
Nordholm, D., Krogh, J., Mondelli, V., Dazzan, P., Pariante, C., & Nordentoft, M. (2013). Pituitary gland volume in patients with schizophrenia, subjects at ultra high-risk of developing psychosis and healthy controls: a systematic review and meta-analysis. Psychoneuroendocrinology, 38(11), 23942404.CrossRefGoogle ScholarPubMed
Olabi, B., Ellison-Wright, I., McIntosh, A. M., Wood, S. J., Bullmore, E., & Lawrie, S. M. (2011). Are there progressive brain changes in schizophrenia? A meta-analysis of structural magnetic resonance imaging studies. Biological Psychiatry, 70(1), 8896.CrossRefGoogle ScholarPubMed
Orru, G., Pettersson-Yeo, W., Marquand, A. F., Sartori, G., & Mechelli, A. (2012). Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review. Neuroscience and Biobehavioral Reviews, 36(4), 11401152.CrossRefGoogle ScholarPubMed
Paillere Martinot, M. L., Lemaitre, H., Artiges, E., Miranda, R., Goodman, R., Penttila, J., … Martinot, J. L. (2014). White-matter microstructure and gray-matter volumes in adolescents with subthreshold bipolar symptoms. Molecular Psychiatry, 19(4), 462470.CrossRefGoogle ScholarPubMed
Pajonk, F. G., Wobrock, T., Gruber, O., Scherk, H., Berner, D., Kaizl, I., … Falkai, P. (2010). Hippocampal plasticity in response to exercise in schizophrenia. Archives of General Psychiatry, 67(2), 133143.CrossRefGoogle Scholar
Palaniyappan, L., Marques, T. R., Taylor, H., Handley, R., Mondelli, V., Bonaccorso, S., … Dazzan, P. (2013). Cortical folding defects as markers of poor treatment response in first-episode psychosis. JAMA Psychiatry, 70(10), 10311040.CrossRefGoogle ScholarPubMed
Pantelis, C., Velakoulis, D., McGorry, P. D., Wood, S. J., Suckling, J., Phillips, L. J., … McGuire, P. K. (2003). Neuroanatomical abnormalities before and after onset of psychosis: a cross-sectional and longitudinal MRI comparison. Lancet, 361(9354), 281288.CrossRefGoogle ScholarPubMed
Pantelis, C., Wannan, C., Bartholomeusz, C. F., Allott, K., & McGorry, P. (2015). Cognitive intervention in early psychosis: preserving abilities versus remediating deficits. Current Opinion in Behavioral Sciences, 4, 6372.CrossRefGoogle Scholar
Pantelis, C., Yucel, M., Bora, E., Fornito, A., Testa, R., Brewer, W. J., … Wood, S. J. (2009). Neurobiological markers of illness onset in psychosis and schizophrenia: the search for a moving target. Neuropsychology Review, 19(3), 385398.CrossRefGoogle ScholarPubMed
Pantelis, C., Yucel, M., Wood, S. J., Brewer, W. J., Fornito, A., Berger, G., … Velakoulis, D. (2008). Neurobiological endophenotypes of psychosis and schizophrenia: are there biological markers of illness onset? In Jackson, H. J. & McGorry, P. (Eds), Recognition and management of early psychosis: a preventative approach (2nd ed.). Cambridge: Cambridge University Press pp. 6180.Google Scholar
Pantelis, C., Yucel, M., Wood, S. J., Velakoulis, D., Sun, D., Berger, G., … McGorry, P. D. (2005). Structural brain imaging evidence for multiple pathological processes at different stages of brain development in schizophrenia. Schizophrenia Bulletin, 31(3), 672696.CrossRefGoogle Scholar
Paus, T. (2005). Mapping brain maturation and cognitive development during adolescence. Trends in Cognitive Sciences, 9(2), 6068.CrossRefGoogle ScholarPubMed
Peterson, B. S., Warner, V., Bansal, R., Zhu, H., Hao, X., Liu, J., … Weissman, M. M. (2009). Cortical thinning in persons at increased familial risk for major depression. Proceedings of the National Academy of Sciences of the United States of America, 106(15), 62736278.CrossRefGoogle ScholarPubMed
Pfeifer, J. C., Welge, J., Strakowski, S. M., Adler, C. M., & DelBello, M. P. (2008). Meta-analysis of amygdala volumes in children and adolescents with bipolar disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 47(11), 12891298.CrossRefGoogle ScholarPubMed
Phillips, L. J., Velakoulis, D., Pantelis, C., Wood, S., Yuen, H. P., Yung, A. R., … McGorry, P. D. (2002). Non-reduction in hippocampal volume is associated with higher risk of psychosis. Schizophrenia Research, 58(2–3), 145158.CrossRefGoogle ScholarPubMed
Qiu, L., Lui, S., Kuang, W., Huang, X., Li, J., Li, J., … Gong, Q. (2014). Regional increases of cortical thickness in untreated, first-episode major depressive disorder. Translational Psychiatry, 4, e378.CrossRefGoogle ScholarPubMed
Radua, J., Borgwardt, S., Crescini, A., Mataix-Cols, D., Meyer-Lindenberg, A., McGuire, P. K., & Fusar-Poli, P. (2012). Multimodal meta-analysis of structural and functional brain changes in first episode psychosis and the effects of antipsychotic medication. Neuroscience and Biobehavioral Reviews, 36(10), 23252333.CrossRefGoogle ScholarPubMed
Radua, J., & Mataix-Cols, D. (2009). Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder. British Journal of Psychiatry, 195(5), 393402.CrossRefGoogle ScholarPubMed
Rao, U., Chen, L. A., Bidesi, A. S., Shad, M. U., Thomas, M. A., & Hammen, C. L. (2010). Hippocampal changes associated with early-life adversity and vulnerability to depression. Biological Psychiatry, 67(4), 357364.CrossRefGoogle ScholarPubMed
Rasetti, R., & Weinberger, D. R. (2011). Intermediate phenotypes in psychiatric disorders. Current Opinion in Genetics and Development, 21(3), 340348.CrossRefGoogle ScholarPubMed
Rosso, I. M., Killgore, W. D., Cintron, C. M., Gruber, S. A., Tohen, M., & Yurgelun-Todd, D. A. (2007). Reduced amygdala volumes in first-episode bipolar disorder and correlation with cerebral white matter. Biological Psychiatry, 61(6), 743749.CrossRefGoogle ScholarPubMed
Sachdev, P., Wen, W., Chen, X., & Brodaty, H. (2007). Progression of white matter hyperintensities in elderly individuals over 3 years. Neurology, 68(3), 214222.CrossRefGoogle ScholarPubMed
Sacher, J., Neumann, J., Funfstuck, T., Soliman, A., Villringer, A., & Schroeter, M. L. (2012). Mapping the depressed brain: a meta-analysis of structural and functional alterations in major depressive disorder. Journal of Affective Disorders, 140(2), 142148.CrossRefGoogle ScholarPubMed
Scarr, E., Cowie, T. F., Kanellakis, S., Sundram, S., Pantelis, C., & Dean, B. (2009). Decreased cortical muscarinic receptors define a subgroup of subjects with schizophrenia. Molecular Psychiatry, 14(11), 10171023.CrossRefGoogle ScholarPubMed
Schmaal, L., Hibar, D. P., Samann, P. G., Hall, G. B., Baune, B. T., Jahanshad, N., … Veltman, D. J. (2017). Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group. Molecular Psychiatry, 22, 900909.CrossRefGoogle ScholarPubMed
Schmaal, L., Veltman, D. J., van Erp, T. G., Samann, P. G., Frodl, T., Jahanshad, N., … Hibar, D. P. (2016). Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group. Molecular Psychiatry, 21, 806812.CrossRefGoogle ScholarPubMed
Schnack, H. G., Nieuwenhuis, M., van Haren, N. E., Abramovic, L., Scheewe, T. W., Brouwer, R. M., … Kahn, R. S. (2014). Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects. NeuroImage, 84, 299306.CrossRefGoogle ScholarPubMed
Selvaraj, S., Arnone, D., Job, D., Stanfield, A., Farrow, T. F., Nugent, A. C., … McIntosh, A. M. (2012). Grey matter differences in bipolar disorder: a meta-analysis of voxel-based morphometry studies. Bipolar Disorders, 14(2), 135145.CrossRefGoogle ScholarPubMed
Shaw, P., Kabani, N. J., Lerch, J. P., Eckstrand, K., Lenroot, R., Gogtay, N., … Wise, S. P. (2008). Neurodevelopmental trajectories of the human cerebral cortex. Journal of Neuroscience, 28(14), 35863594.CrossRefGoogle ScholarPubMed
Shenton, M. E., Dickey, C. C., Frumin, M., & McCarley, R. W. (2001). A review of MRI findings in schizophrenia. Schizophrenia Research, 49(1–2), 152.CrossRefGoogle Scholar
Shepherd, A. M., Laurens, K. R., Matheson, S. L., Carr, V. J., & Green, M. J. (2012). Systematic meta-review and quality assessment of the structural brain alterations in schizophrenia. Neuroscience and Biobehavioral Reviews, 36(4), 13421356.CrossRefGoogle Scholar
Simon, A. E., Borgwardt, S., Riecher-Rossler, A., Velthorst, E., de Haan, L., & Fusar-Poli, P. (2013). Moving beyond transition outcomes: meta-analysis of remission rates in individuals at high clinical risk for psychosis. Psychiatry Research, 209(3), 266272.CrossRefGoogle ScholarPubMed
Smieskova, R., Fusar-Poli, P., Allen, P., Bendfeldt, K., Stieglitz, R. D., Drewe, J., … Borgwardt, S. J. (2010). Neuroimaging predictors of transition to psychosis: a systematic review and meta-analysis. Neuroscience and Biobehavioral Reviews, 34(8), 12071222.CrossRefGoogle ScholarPubMed
Spalletta, G., Piras, F., Caltagirone, C., & Fagioli, S. (2014). Hippocampal multimodal structural changes and subclinical depression in healthy individuals. Journal of Affective Disorders, 152154, 105112.CrossRefGoogle ScholarPubMed
Steen, R. G., Mull, C., McClure, R., Hamer, R. M., & Lieberman, J. A. (2006). Brain volume in first-episode schizophrenia: systematic review and meta-analysis of magnetic resonance imaging studies. British Journal of Psychiatry, 188, 510518.CrossRefGoogle ScholarPubMed
Sun, D., Phillips, L., Velakoulis, D., Yung, A., McGorry, P. D., Wood, S. J., … Pantelis, C. (2009a). Progressive brain structural changes mapped as psychosis develops in ‘at risk’ individuals. Schizophrenia Research, 108(1–3), 8592.CrossRefGoogle ScholarPubMed
Sun, D., Stuart, G. W., Jenkinson, M., Wood, S. J., McGorry, P. D., Velakoulis, D., … Pantelis, C. (2009b). Brain surface contraction mapped in first-episode schizophrenia: a longitudinal magnetic resonance imaging study. Molecular Psychiatry, 14(10), 976986.CrossRefGoogle ScholarPubMed
Takahashi, T., Wood, S. J., Soulsby, B., McGorry, P. D., Tanino, R., Suzuki, M., … Pantelis, C. (2009a). Follow-up MRI study of the insular cortex in first-episode psychosis and chronic schizophrenia. Schizophrenia Research, 108(1–3), 4956.CrossRefGoogle ScholarPubMed
Takahashi, T., Wood, S. J., Yung, A. R., Phillips, L. J., Soulsby, B., McGorry, P. D., … Pantelis, C. (2009b). Insular cortex gray matter changes in individuals at ultra-high-risk of developing psychosis. Schizophrenia Research, 111(1–3), 94102.CrossRefGoogle ScholarPubMed
Takahashi, T., Wood, S. J., Yung, A. R., Soulsby, B., McGorry, P. D., Suzuki, M., … Pantelis, C. (2009c). Progressive gray matter reduction of the superior temporal gyrus during transition to psychosis. Archives of General Psychiatry, 66(4), 366376.CrossRefGoogle ScholarPubMed
Takahashi, T., Wood, S. J., Yung, A. R., Walterfang, M., Phillips, L. J., Soulsby, B., … Pantelis, C. (2010). Superior temporal gyrus volume in antipsychotic-naive people at risk of psychosis. British Journal of Psychiatry, 196(3), 206211.CrossRefGoogle ScholarPubMed
Theodoridou, A., Heekeren, K., Dvorsky, D., Metzler, S., Franscini, M., Haker, H., … Rossler, W. (2014). Early recognition of high risk of bipolar disorder and psychosis: an overview of the ZInEP ‘early recognition’ study. Frontiers in Public Health, 2, 166.CrossRefGoogle Scholar
van Erp, T. G., Hibar, D. P., Rasmussen, J. M., Glahn, D. C., Pearlson, G. D., Andreassen, O. A., … Turner, J. A. (2016). Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Molecular Psychiatry, 21(4), 547553.CrossRefGoogle ScholarPubMed
Velakoulis, D., Wood, S. J., Wong, M. T., McGorry, P. D., Yung, A., Phillips, L., … Pantelis, C. (2006). Hippocampal and amygdala volumes according to psychosis stage and diagnosis: a magnetic resonance imaging study of chronic schizophrenia, first-episode psychosis, and ultra-high-risk individuals. Archives of General Psychiatry, 63(2), 139149.CrossRefGoogle ScholarPubMed
Vita, A., & de Peri, L. (2007). Hippocampal and amygdala volume reductions in first-episode schizophrenia. British Journal of Psychiatry, 190, 271.CrossRefGoogle ScholarPubMed
Vita, A., de Peri, L., Deste, G., & Sacchetti, E. (2012). Progressive loss of cortical gray matter in schizophrenia: a meta-analysis and meta-regression of longitudinal MRI studies. Translational Psychiatry, 2, e190.CrossRefGoogle ScholarPubMed
Vita, A., de Peri, L., & Sacchetti, E. (2009). Gray matter, white matter, brain, and intracranial volumes in first-episode bipolar disorder: a meta-analysis of magnetic resonance imaging studies. Bipolar Disorders, 11(8), 807814.CrossRefGoogle ScholarPubMed
Vita, A., de Peri, L., Silenzi, C., & Dieci, M. (2006). Brain morphology in first-episode schizophrenia: a meta-analysis of quantitative magnetic resonance imaging studies. Schizophrenia Research, 82(1), 7588.CrossRefGoogle ScholarPubMed
Wall, P. M., & Messier, C. (2001). The hippocampal formation: orbitomedial prefrontal cortex circuit in the attentional control of active memory. Behavioural Brain Research, 127(1–2), 99117.CrossRefGoogle ScholarPubMed
Walter, A., Studerus, E., Smieskova, R., Kuster, P., Aston, J., Lang, U. E., … Borgwardt, S. (2012). Hippocampal volume in subjects at high risk of psychosis: a longitudinal MRI study. Schizophrenia Research, 142(1–3), 217222.CrossRefGoogle ScholarPubMed
Walterfang, M., McGuire, P. K., Yung, A. R., Phillips, L. J., Velakoulis, D., Wood, S. J., … Pantelis, C. (2008a). White matter volume changes in people who develop psychosis. British Journal of Psychiatry, 193(3), 210215.CrossRefGoogle ScholarPubMed
Walterfang, M., Wood, S. J., Velakoulis, D., & Pantelis, C. (2006). Neuropathological, neurogenetic and neuroimaging evidence for white matter pathology in schizophrenia. Neuroscience and Biobehavioral Reviews, 30(7), 918948.CrossRefGoogle Scholar
Walterfang, M., Yung, A., Wood, A. G., Reutens, D. C., Phillips, L., Wood, S. J., … Pantelis, C. (2008b). Corpus callosum shape alterations in individuals prior to the onset of psychosis. Schizophrenia Research, 103(1–3), 110.CrossRefGoogle Scholar
Wang, Y., Xu, C., Zhang, A., Zuo, X. N., Gao, Q., Li, X., … Zhang, K. (2014). White matter abnormalities in medication-naive adult patients with major depressive disorder: tract-based spatial statistical analysis. Neuro Endocrinology Letters, 35(8), 697702.Google ScholarPubMed
Watanabe, K., Kakeda, S., Yoshimura, R., Abe, O., Ide, S., Hayashi, K., … Korogi, Y. (2015). Relationship between the catechol-O-methyl transferase Val108/158Met genotype and brain volume in treatment-naive major depressive disorder: voxel-based morphometry analysis. Psychiatry Research, 233(3), 481487.CrossRefGoogle ScholarPubMed
Whittle, S., Lichter, R., Dennison, M., Vijayakumar, N., Schwartz, O., Byrne, M. L., … Allen, N. B. (2014). Structural brain development and depression onset during adolescence: a prospective longitudinal study. American Journal of Psychiatry, 171(5), 564571.CrossRefGoogle ScholarPubMed
Witthaus, H., Mendes, U., Brune, M., Ozgurdal, S., Bohner, G., Gudlowski, Y., … Juckel, G. (2010). Hippocampal subdivision and amygdalar volumes in patients in an at-risk mental state for schizophrenia. Journal of Psychiatry and Neuroscience, 35(1), 3340.CrossRefGoogle Scholar
Wood, S. J., Kennedy, D., Phillips, L. J., Seal, M. L., Yucel, M., Nelson, B., … Pantelis, C. (2010). Hippocampal pathology in individuals at ultra-high risk for psychosis: a multi-modal magnetic resonance study. NeuroImage, 52(1), 6268.CrossRefGoogle ScholarPubMed
Wood, S. J., Yung, A. R., McGorry, P. D., & Pantelis, C. (2011). Neuroimaging and treatment evidence for clinical staging in psychotic disorders: from the at-risk mental state to chronic schizophrenia. Biological Psychiatry, 70(7), 619625.CrossRefGoogle ScholarPubMed
World Federation for Mental Health (2012). Depression: a global crisis. Occoquan, VA: World Federation for Mental Health.
Wright, I. C., Rabe-Hesketh, S., Woodruff, P. W., David, A. S., Murray, R. M., & Bullmore, E. T. (2000). Meta-analysis of regional brain volumes in schizophrenia. American Journal of Psychiatry, 157(1), 1625.CrossRefGoogle Scholar
Yao, L., Lui, S., Liao, Y., Du, M. Y., Hu, N., Thomas, J. A., & Gong, Q. Y. (2013). White matter deficits in first episode schizophrenia: an activation likelihood estimation meta-analysis. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 45, 100106.CrossRefGoogle ScholarPubMed
Yatham, L. N., Lyoo, I. K., Liddle, P., Renshaw, P. F., Wan, D., Lam, R. W., & Hwang, J. (2007). A magnetic resonance imaging study of mood stabilizer- and neuroleptic-naive first-episode mania. Bipolar Disorders, 9(7), 693697.CrossRefGoogle ScholarPubMed
Yucel, M., Solowij, N., Respondek, C., Whittle, S., Fornito, A., Pantelis, C., & Lubman, D. I. (2008). Regional brain abnormalities associated with long-term heavy cannabis use. Archives of General Psychiatry, 65(6), 694701.CrossRefGoogle ScholarPubMed
Zakzanis, K. K., Poulin, P., Hansen, K. T., & Jolic, D. (2000). Searching the schizophrenic brain for temporal lobe deficits: a systematic review and meta-analysis. Psychological Medicine, 30(3), 491504.CrossRefGoogle ScholarPubMed
Zanetti, M. V., Schaufelberger, M. S., de Castro, C. C., Menezes, P. R., Scazufca, M., McGuire, P. K., … Busatto, G. F. (2008). White-matter hyperintensities in first-episode psychosis. British Journal of Psychiatry, 193(1), 2530.CrossRefGoogle ScholarPubMed
Zhao, Y. J., Du, M. Y., Huang, X. Q., Lui, S., Chen, Z. Q., Liu, J., … Gong, Q. Y. (2014). Brain grey matter abnormalities in medication-free patients with major depressive disorder: a meta-analysis. Psychological Medicine, 44(14), 29272937.CrossRefGoogle ScholarPubMed
Zhuo, C., Liu, M., Wang, L., Tian, H., & Tang, J. (2016). Diffusion tensor MR imaging evaluation of callosal abnormalities in schizophrenia: a meta-analysis. PLoS One, 11(8), e0161406.CrossRefGoogle ScholarPubMed
Ziermans, T. B., Schothorst, P. F., Schnack, H. G., Koolschijn, P. C., Kahn, R. S., van Engeland, H., & Durston, S. (2012). Progressive structural brain changes during development of psychosis. Schizophrenia Bulletin, 38(3), 519530.CrossRefGoogle Scholar
Zipursky, R. B., Reilly, T. J., & Murray, R. M. (2013). The myth of schizophrenia as a progressive brain disease. Schizophrenia Bulletin, 39(6), 13631372.CrossRefGoogle ScholarPubMed
Abramovitch, A., Abramowitz, J. S., & Mittelman, A. (2013). The neuropsychology of adult obsessive-compulsive disorder: a meta-analysis. Clinical Psychology Review, 33(8), 11631171.CrossRefGoogle ScholarPubMed
Adolphs, R. (2009). The social brain: neural basis of social knowledge. Annual Review of Psychology, 60, 693716.CrossRefGoogle ScholarPubMed
Airaksinen, E., Larsson, M., & Forsell, Y. (2005). Neuropsychological functions in anxiety disorders in population-based samples: evidence of episodic memory dysfunction. Journal of Psychiatric Research, 39(2), 207214.CrossRefGoogle ScholarPubMed
Allen, K. L., Byrne, S. M., Hii, H., van Eekelen, A., Mattes, E., & Foster, J. K. (2013). Neurocognitive functioning in adolescents with eating disorders: a population-based study. Cognitive Neuropsychiatry, 18(5), 355375.CrossRefGoogle Scholar
Allott, K., Fisher, C. A., Amminger, G. P., Goodall, J., & Hetrick, S. (2016). Characterizing neurocognitive impairment in young people with major depression: state, trait, or scar? Brain and Behavior, 6(10), e00527.CrossRefGoogle ScholarPubMed
Allott, K., Proffitt, T.-M., McGorry, P. D., Pantelis, C., Wood, S. J., Cumner, M., & Brewer, W. J. (2013). Clinical neuropsychology within adolescent and young-adult psychiatry: conceptualizing theory and practice. Applied Neuropsychology: Child, 2(1), 4763.CrossRefGoogle ScholarPubMed
Allott, K., Schafer, M. R., Thompson, A., Nelson, B., Bendall, S., Bartholomeusz, C. F., … Amminger, G. P. (2014). Emotion recognition as a predictor of transition to a psychotic disorder in ultra-high risk participants. Schizophrenia Research, 153(1–3), 2531.CrossRefGoogle ScholarPubMed
Alves, M. R. P., Pereira, V. M., Machado, S., Nardi, A. E., & Silva, A. (2013). Cognitive functions in patients with panic disorder: a literature review. Revista Brasileira De Psiquiatria, 35(2), 193200.CrossRefGoogle ScholarPubMed
Amminger, G. P., Schafer, M. R., Papageorgiou, K., Klier, C. M., Schlogelhofer, M., Mossaheb, N., … McGorry, P. D. (2012). Emotion recognition in individuals at clinical high-risk for schizophrenia. Schizophrenia Bulletin, 38(5), 10301039.CrossRefGoogle ScholarPubMed
Andreou, C., & Bozikas, V. P. (2013). The predictive significance of neurocognitive factors for functional outcome in bipolar disorder. Current Opinion in Psychiatry, 26(1), 5459.CrossRefGoogle ScholarPubMed
Arango, C., Fraguas, D., & Parellada, M. (2014). Differential neurodevelopmental trajectories in patients with early-onset bipolar and schizophrenia disorders. Schizophrenia Bulletin, 40(Suppl. 2), S138S146.CrossRefGoogle ScholarPubMed
Arts, B., Jabben, N., Krabbendam, L., & van Os, J. (2008). Meta-analyses of cognitive functioning in euthymic bipolar patients and their first-degree relatives. Psychological Medicine, 38(6), 771785.CrossRefGoogle ScholarPubMed
Austin, M. P., Mitchell, P., & Goodwin, G. M. (2001). Cognitive deficits in depression: possible implications for functional neuropathology. British Journal of Psychiatry, 178, 200206.CrossRefGoogle ScholarPubMed
Balanza-Martinez, V., Rubio, C., Selva-Vera, G., Martinez-Aran, A., Sanchez-Moreno, J., Salazar-Fraile, J., … Tabares-Seisdedos, R. (2008). Neurocognitive endophenotypes (endophenocognitypes) from studies of relatives of bipolar disorder subjects: a systematic review. Neuroscience and Biobehavioral Reviews, 32(8), 14261438.CrossRefGoogle ScholarPubMed
Barder, H. E., Sundet, K., Rund, B. R., Evensen, J., Haahr, U., Hegelstad, W. T., … Friis, S. (2013). Neurocognitive development in first episode psychosis 5 years follow-up: associations between illness severity and cognitive course. Schizophrenia Research, 149(1–3), 6369.CrossRefGoogle ScholarPubMed
Batty, G. D., Mortensen, E. L., & Osler, M. (2005). Childhood IQ in relation to later psychiatric disorder: evidence from a Danish birth cohort study. British Journal of Psychiatry, 187, 180181.CrossRefGoogle ScholarPubMed
Baune, B. T., Fuhr, M., Air, T., & Hering, C. (2014). Neuropsychological functioning in adolescents and young adults with major depressive disorder: a review. Psychiatry Research, 218, 261271.CrossRefGoogle Scholar
Beaudreau, S. A., & O’Hara, R. (2008). Late-life anxiety and cognitive impairment: a review. American Journal of Geriatric Psychiatry, 16(10), 790803.CrossRefGoogle ScholarPubMed
Bechdolf, A., Ratheesh, A., Cotton, S. M., Nelson, B., Chanen, A. M., Betts, J., … McGorry, P. D. (2014). The predictive validity of bipolar at-risk (prodromal) criteria in help-seeking adolescents and young adults: a prospective study. Bipolar Disorders, 16(5), 493504.CrossRefGoogle Scholar
Belleau, E. L., Phillips, M. L., Birmaher, B., Axelson, D. A., & Ladouceur, C. D. (2013). Aberrant executive attention in unaffected youth at familial risk for mood disorders. Journal of Affective Disorders, 147(1–3), 397400.CrossRefGoogle ScholarPubMed
Bora, E., Harrison, B. J., Yucel, M., & Pantelis, C. (2013). Cognitive impairment in euthymic major depressive disorder: a meta-analysis. Psychological Medicine, 43(10), 20172026.CrossRefGoogle ScholarPubMed
Bora, E., Lin, A., Wood, S. J., Yung, A. R., McGorry, P. D., & Pantelis, C. (2014). Cognitive deficits in youth with familial and clinical high risk to psychosis: a systematic review and meta-analysis. Acta Psychiatrica Scandinavica, 130(1), 115.CrossRefGoogle ScholarPubMed
Bora, E., & Murray, R. M. (2014). Meta-analysis of cognitive deficits in ultra-high risk to psychosis and first-episode psychosis: do the cognitive deficits progress over, or after, the onset of psychosis? Schizophrenia Bulletin, 40, 744755.CrossRefGoogle ScholarPubMed
Bora, E., & Pantelis, C. (2013). Theory of mind impairments in first-episode psychosis, individuals at ultra-high risk for psychosis and in first-degree relatives of schizophrenia: systematic review and meta-analysis. Schizophrenia Research, 144(1–3), 3136.CrossRefGoogle ScholarPubMed
Bora, E., & Pantelis, C. (2015). Meta-analysis of cognitive impairment in first-episode bipolar disorder: comparison with first-episode schizophrenia and healthy controls. Schizophrenia Bulletin, 41(5), 10951104.CrossRefGoogle ScholarPubMed
Bora, E., Vahip, S., Akdeniz, F., Gonul, A. S., Eryavuz, A., Ogut, M., & Alkan, M. (2007). The effect of previous psychotic mood episodes on cognitive impairment in euthymic bipolar patients. Bipolar Disorders, 9(5), 468477.CrossRefGoogle ScholarPubMed
Bora, E., Yucel, M., & Pantelis, C. (2009a). Cognitive endophenotypes of bipolar disorder: a meta-analysis of neuropsychological deficits in euthymic patients and their first-degree relatives. Journal of Affective Disorders, 113, 120.CrossRefGoogle ScholarPubMed
Bora, E., Yucel, M., & Pantelis, C. (2009b). Cognitive functioning in schizophrenia, schizoaffective disorder and affective psychoses: meta-analytic study. British Journal of Psychiatry, 195(6), 475482.CrossRefGoogle ScholarPubMed
Bora, E., Yucel, M., & Pantelis, C. (2009c). Theory of mind impairment in schizophrenia: meta-analysis. Schizophrenia Research, 109(1–3), 19.CrossRefGoogle ScholarPubMed
Bora, E., Yucel, M., & Pantelis, C. (2010). Cognitive impairment in affective psychoses: a meta-analysis. Schizophrenia Bulletin, 36(1), 112125.CrossRefGoogle ScholarPubMed
Bora, E., Yucel, M., Pantelis, C., & Berk, M. (2011). Meta-analytic review of neurocognition in bipolar II disorder. Acta Psychiatrica Scandinavica, 123(3), 165174.CrossRefGoogle ScholarPubMed
Bourke, C., Douglas, K., & Porter, R. (2010). Processing of facial emotion expression in major depression: a review. Australian and New Zealand Journal of Psychiatry, 44(8), 681696.CrossRefGoogle ScholarPubMed
Bourne, C., Aydemir, O., Balanza-Martinez, V., Bora, E., Brissos, S., Cavanagh, J. T. O., … Goodwin, G. M. (2013). Neuropsychological testing of cognitive impairment in euthymic bipolar disorder: an individual patient data meta-analysis. Acta Psychiatrica Scandinavica, 128(3), 149162.CrossRefGoogle ScholarPubMed
Bowie, C. R., Grossman, M., Gupta, M., Oyewumi, L. K., & Harvey, P. D. (2014). Cognitive remediation in schizophrenia: efficacy and effectiveness in patients with early versus long-term course of illness. Early Intervention in Psychiatry, 8, 3238.CrossRefGoogle ScholarPubMed
Bozikas, V. P., & Andreou, C. (2011). Longitudinal studies of cognition in first episode psychosis: a systematic review of the literature. Australian and New Zealand Journal of Psychiatry, 45(2), 93108.CrossRefGoogle ScholarPubMed
Brewer, W. J., Wood, S. J., Phillips, L. J., Francey, S. M., Pantelis, C., Yung, A. R., … McGorry, P. D. (2006). Generalized and specific cognitive performance in clinical high-risk cohorts: a review highlighting potential vulnerability markers for psychosis. Schizophrenia Bulletin, 32(3), 538555.CrossRefGoogle Scholar
Brotman, M. A., Guyer, A. E., Lawson, E. S., Horsey, S. E., Rich, B. A., Dickstein, D. P., … Leibenluft, E. (2008). Facial emotion labeling deficits in children and adolescents at risk for bipolar disorder. American Journal of Psychiatry, 165(3), 385389.CrossRefGoogle ScholarPubMed
Cannon, M., Caspi, A., Moffitt, T. E., Harrington, H., Taylor, A., Murray, R. M., & Poulton, R. (2002). Evidence for early-childhood, pan-developmental impairment specific to schizophreniform disorder: results from a longitudinal birth cohort. Archives of General Psychiatry, 59(5), 449456.CrossRefGoogle ScholarPubMed
Cannon, M., Moffitt, T. E., Caspi, A., Murray, R. M., Harrington, H., & Poulton, R. (2006). Neuropsychological performance at the age of 13 years and adult schizophreniform disorder: prospective birth cohort study. British Journal of Psychiatry, 189, 463464.CrossRefGoogle ScholarPubMed
Cannon, T. D., Huttunen, M. O., Lonnqvist, J., Tuulio-Henriksson, A., Pirkola, T., Glahn, D., … Koskenvuo, M. (2000). The inheritance of neuropsychological dysfunction in twins discordant for schizophrenia. American Journal of Human Genetics, 67, 369382.CrossRefGoogle Scholar
Castaneda, A. E., Suvisaari, J., Marttunen, M., Perala, J., Saarni, S. I., Aalto-Setala, T., … Tuulio-Henriksson, A. (2011). Cognitive functioning in a population-based sample of young adults with anxiety disorders. European Psychiatry, 26(6), 346353.CrossRefGoogle Scholar
Castaneda, A. E., Tuulio-Henriksson, A., Marttunen, M., Suvisaari, J., & Lonnqvist, J. (2008). A review on cognitive impairments in depressive and anxiety disorders with a focus on young adults. Journal of Affective Disorders, 106(1–2), 127.CrossRefGoogle ScholarPubMed
Cavedini, P., Zorzi, C., Piccinni, M., Cavallini, M. C., & Bellodi, L. (2010). Executive dysfunctions in obsessive-compulsive patients and unaffected relatives: searching for a new intermediate phenotype. Biological Psychiatry, 67(12), 11781184.CrossRefGoogle ScholarPubMed
Comparelli, A., Corigliano, V., De Carolis, A., Mancinelli, I., Trovini, G., Ottavi, G., … Girardi, P. (2013). Emotion recognition impairment is present early and is stable throughout the course of schizophrenia. Schizophrenia Research, 143(1), 6569.CrossRefGoogle ScholarPubMed
Conus, P., Ward, J., Hallam, K. T., Lucas, N., Macneil, C., McGorry, P. D., & Berk, M. (2008). The proximal prodrome to first episode mania: a new target for early intervention. Bipolar Disorders, 10(5), 555565.CrossRefGoogle ScholarPubMed
Cooper, S. A., Smiley, E., Morrison, J., Williamson, A., & Allan, L. (2007). Mental ill-health in adults with intellectual disabilities: prevalence and associated factors. British Journal of Psychiatry, 190, 2735.CrossRefGoogle ScholarPubMed
Correll, C. U., Penzner, J. B., Lencz, T., Auther, A., Smith, C. W., Malhotra, A. K., … Cornblatt, B. A. (2007). Early identification and high-risk strategies for bipolar disorder. Bipolar Disorders, 9(4), 324338.CrossRefGoogle ScholarPubMed
Daban, C., Martinez-Aran, A., Torrent, C., Tabares-Seisdedos, R., Balanza-Martinez, V., Salazar-Fraile, J. S., … Vieta, E. (2006). Specificity of cognitive deficits in bipolar disorder versus schizophrenia: a systematic review. Psychotherapy and Psychosomatics, 75(2), 7284.CrossRefGoogle ScholarPubMed
Daglas, R., Allott, K., Yucel, M., Pantelis, C., Macneil, C. A., Berk, M., & Cotton, S. M. (2016). The trajectory of cognitive functioning following first episode mania: a 12-month follow-up study. Australian and New Zealand Journal of Psychiatry, 50(12), 11861197.CrossRefGoogle ScholarPubMed
Daglas, R., Yucel, M., Cotton, S., Allott, K., Hetrick, S., & Berk, M. (2015). Cognitive impairment in first-episode mania: a systematic review of the evidence in the acute and remission phases of the illness. International Journal of Bipolar Disorders, 3, 9.CrossRefGoogle ScholarPubMed
Dalili, M. N., Penton-Voak, I. S., Harmer, C. J., & Munafo, M. R. (2015). Meta-analysis of emotion recognition deficits in major depressive disorder. Psychological Medicine, 45(6), 11351144.CrossRefGoogle ScholarPubMed
Daros, A. R., Zakzanis, K. K., & Rector, N. A. (2014). A quantitative analysis of facial emotion recognition in obsessive-compulsive disorder. Psychiatry Research, 215(3), 514521.CrossRefGoogle ScholarPubMed
David, A. S., Zammit, S., Lewis, G., Dalman, C., & Allebeck, P. (2008). Impairments in cognition across the spectrum of psychiatric disorders: evidence from a Swedish conscript cohort. Schizophrenia Bulletin, 34(6), 10351041.CrossRefGoogle ScholarPubMed
de Garcia Dominguez, M., Viechtbauer, W., Simons, C. J. P., van Os, J., & Krabbendam, L. (2009). Are psychotic psychopathology and neurocognition orthogonal? A systematic review of their associations. Psychological Bulletin, 135(1), 157171.CrossRefGoogle Scholar
DeJong, H., van den Eynde, F., Broadbent, H., Kenyon, M. D., Lavender, A., Startup, H., & Schmidt, U. (2013). Social cognition in bulimia nervosa: a systematic review. European Psychiatry, 28(1), 16.CrossRefGoogle ScholarPubMed
Demenescu, L. R., Kortekaas, R., den Boer, J. A., & Aleman, A. (2010). Impaired attribution of emotion to facial expressions in anxiety and major depression. PLoS One, 5(12), e15058.CrossRefGoogle ScholarPubMed
Depp, C. A., Mausbach, B. T., Harmell, A. L., Savla, G. N., Bowie, C. R., Harvey, P. D., & Patterson, T. L. (2012). Meta-analysis of the association between cognitive abilities and everyday functioning in bipolar disorder. Bipolar Disorders, 14(3), 217226.CrossRefGoogle ScholarPubMed
Dickinson, D., Ramsey, M. E., & Gold, J. M. (2007). Overlooking the obvious: a meta-analytic comparison of digit symbol coding tasks and other cognitive measures in schizophrenia. Archives of General Psychiatry, 64, 532542.CrossRefGoogle Scholar
DiGangi, J. A., Gomez, D., Mendoza, L., Jason, L. A., Keys, C. B., & Koenen, K. C. (2013). Pretrauma risk factors for posttraumatic stress disorder: a systematic review of the literature. Clinical Psychology Review, 33(6), 728744.CrossRefGoogle ScholarPubMed
Dotson, V. M., Resnick, S. M., & Zonderman, A. B. (2008). Differential association of concurrent, baseline, and average depressive symptoms with cognitive decline in older adults. American Journal of Geriatric Psychiatry, 16(4), 318330.CrossRefGoogle ScholarPubMed
Douglas, K. M., & Porter, R. J. (2009). Longitudinal assessment of neuropsychological function in major depression. Australian and New Zealand Journal of Psychiatry, 43(12), 11051117.CrossRefGoogle ScholarPubMed
Edwards, J., Pattison, P. E., Jackson, H. J., & Wales, R. J. (2001). Facial affect and affective prosody recognition in first-episode schizophrenia. Schizophrenia Research, 48, 235253.CrossRefGoogle ScholarPubMed
Elshahawi, H. H., Essawi, H., Rabie, M. A., Mansour, M., Beshry, Z. A., & Mansour, A. N. (2011). Cognitive functions among euthymic bipolar I patients after a single manic episode versus recurrent episodes. Journal of Affective Disorders, 130(1–2), 180191.CrossRefGoogle ScholarPubMed
Faraone, S. V., Seidman, L. J., Kremen, W. S., Toomey, R., Pepple, J. R., & Tsuang, M. T. (2000). Neuropsychologic functioning among the nonpsychotic relatives of schizophrenic patients: the effect of genetic loading. Biological Psychiatry, 48, 120126.CrossRefGoogle ScholarPubMed
Fett, A. K., Viechtbauer, W., Dominguez, M. D., Penn, D. L., van Os, J., & Krabbendam, L. (2011). The relationship between neurocognition and social cognition with functional outcomes in schizophrenia: a meta-analysis. Neuroscience and Biobehavioral Reviews, 35(3), 573588.CrossRefGoogle ScholarPubMed
Fisher, M., Loewy, R., Hardy, K., Schlosser, D., & Vinogradov, S. (2013). Cognitive interventions targeting brain plasticity in the prodromal and early phases of schizophrenia. Annual Review of Clinical Psychology, 9, 435463.CrossRefGoogle ScholarPubMed
Fiske, S. T., & Taylor, S. E. (2013). Social cognition: from brains to culture (2nd ed.). London: Sage.CrossRefGoogle Scholar
Fusar-Poli, P., Deste, G., Smieskova, R., Barlati, S., Yung, A. R., Howes, O., … Borgwardt, S. (2012). Cognitive functioning in prodromal psychosis: a meta-analysis. Archives of General Psychiatry, 69(6), 562571.CrossRefGoogle ScholarPubMed
Gale, C. R., Batty, G. D., McIntosh, A. M., Porteous, D. J., Deary, I. J., & Rasmussen, F. (2013). Is bipolar disorder more common in highly intelligent people? A cohort study of a million men. Molecular Psychiatry, 18(2), 190194.CrossRefGoogle ScholarPubMed
Gigi, K., Werbeloff, N., Goldberg, S., Portuguese, S., Reichenberg, A., Fruchter, E., & Weiser, M. (2014). Borderline intellectual functioning is associated with poor social functioning, increased rates of psychiatric diagnosis and drug use: a cross sectional population based study. European Neuropsychopharmacology, 24(11), 17931797.CrossRefGoogle ScholarPubMed
Giuliano, A. J., Li, H. J., Mesholam-Gately, R. I., Sorenson, S. M., Woodberry, K. A., & Seidman, L. J. (2012). Neurocognition in the psychosis risk syndrome: a quantitative and qualitative review. Current Pharmaceutical Design, 18(4), 399415.CrossRefGoogle ScholarPubMed
Glahn, D. C., Almasy, L., Barguil, M., Hare, E., Peralta, J. M., Kent, J. W., … Escamilla, M. A. (2010). Neurocognitive endophenotypes for bipolar disorder identified in multiplex multigenerational families. Archives of General Psychiatry, 67(2), 168177.CrossRefGoogle ScholarPubMed
Goschke, T. (2014). Dysfunctions of decision-making and cognitive control as transdiagnostic mechanisms of mental disorders: advances, gaps, and needs in current research. International Journal of Methods in Psychiatric Research, 23 (Suppl. 1), 4157.CrossRefGoogle ScholarPubMed
Green, M. F., Bearden, C. E., Cannon, T. D., Fiske, A. P., Hellemann, G. S., Horan, W. P., … Nuechterlein, K. H. (2012). Social cognition in schizophrenia, part 1: performance across phase of illness. Schizophrenia Bulletin, 38(4), 854864.CrossRefGoogle Scholar
Harvey, P. D. (2014). What is the evidence for changes in cognition and functioning over the lifespan in patients with schizophrenia? Journal of Clinical Psychiatry, 75, 3438.CrossRefGoogle ScholarPubMed
Hasselbalch, B. J., Knorr, U., & Kessing, L. V. (2011). Cognitive impairment in the remitted state of unipolar depressive disorder: a systematic review. Journal of Affective Disorders, 134(1–3), 2031.CrossRefGoogle ScholarPubMed
Hauser, M., Zhang, J. P., Sheridan, E. M., Burdick, K. E., Mogil, R., Kane, J. M., … Correll, C. U. (2017). Neuropsychological test performance to enhance identification of subjects at clinical high risk for psychosis and to be most promising for predictive algorithms for conversion to psychosis: a meta-analysis. Journal of Clinical Psychiatry, 78(1), E28E40.CrossRefGoogle ScholarPubMed
Hedman, A. M., van Haren, N. E. M., van Baal, C. G. M., Kahn, R. S., & Pol, H. E. H. (2013). IQ change over time in schizophrenia and healthy individuals: a meta-analysis. Schizophrenia Research, 146(1–3), 201208.CrossRefGoogle ScholarPubMed
Heinrichs, R. W., & Zakzanis, K. K. (1998). Neurocognitive deficit in schizophrenia: a quantitative review of the evidence. Neuropsychology, 12(3), 426445.CrossRefGoogle Scholar
Hermens, D. F., Naismith, S. L., Lagopoulos, J., Lee, R. S., Guastella, A. J., Scott, E. M., & Hickie, I. B. (2013). Neuropsychological profile according to the clinical stage of young persons presenting for mental health care. BMC Psychology, 1(1), 8.CrossRefGoogle ScholarPubMed
Hetrick, S. E., Parker, A. G., Hickie, I. B., Purcell, R., Yung, A. R., & McGorry, P. D. (2008). Early identification and intervention in depressive disorders: towards a clinical staging model. Psychotherapy and Psychosomatics, 77(5), 263270.CrossRefGoogle ScholarPubMed
Hoff, A. L., Svetina, C., Shields, G., Stewart, J., & DeLisi, L. E. (2005). Ten year longitudinal study of neuropsychological functioning subsequent to a first episode of schizophrenia. Schizophrenia Research, 78(1), 2734.CrossRefGoogle ScholarPubMed
Holthausen, E. A., Wiersma, D., Sitskoorn, M. M., Hijman, R., Dingemans, P. M., Schene, A. H., & van den Bosch, R. J. (2002). Schizophrenic patients without neuropsychological deficits: subgroup, disease severity or cognitive compensation? Psychiatry Research, 112, 111.CrossRefGoogle ScholarPubMed
Hughes, C., Roman, G., Hart, M. J., & Ensor, R. (2013). Does maternal depression predict young children’s executive function? A 4-year longitudinal study. Journal of Child Psychology and Psychiatry, 54(2), 169177.CrossRefGoogle ScholarPubMed
Irani, F., Kalkstein, S., Moberg, E. A., & Moberg, P. J. (2011). Neuropsychological performance in older patients with schizophrenia: a meta-analysis of cross-sectional and longitudinal studies. Schizophrenia Bulletin, 37(6), 13181326.CrossRefGoogle ScholarPubMed
Jarros, R. B., Salum, G. A., da Silva, C. T. B., Toazza, R., Costa, M. D., de Salles, J. F., & Manfro, G. G. (2012). Anxiety disorders in adolescence are associated with impaired facial expression recognition to negative valence. Journal of Psychiatric Research, 46(2), 147151.CrossRefGoogle ScholarPubMed
Kanakam, N., Raoult, C., Collier, D., & Treasure, J. (2013). Set shifting and central coherence as neurocognitive endophenotypes in eating disorders: a preliminary investigation in twins. World Journal of Biological Psychiatry, 14(6), 464475.CrossRefGoogle ScholarPubMed
Kanakam, N., & Treasure, J. (2013). A review of cognitive neuropsychiatry in the taxonomy of eating disorders: state, trait, or genetic? Cognitive Neuropsychiatry, 18(1–2), 83114.CrossRefGoogle ScholarPubMed
Kapczinski, F., Magalhaes, P. V., Balanza-Martinez, V., Dias, V. V., Frangou, S., Gama, C. S., … Berk, M. (2014). Staging systems in bipolar disorder: an International Society for Bipolar Disorders Task Force Report. Acta Psychiatrica Scandinavica, 130(5), 354363.CrossRefGoogle ScholarPubMed
Keefe, R. S. E. (1995). The contribution of neuropsychology to psychiatry. American Journal of Psychiatry, 152(1), 615.Google ScholarPubMed
Kendler, K. S., Ohlsson, H., Sundquist, J., & Sundquist, K. (2015). IQ and schizophrenia in a Swedish national sample: their causal relationship and the interaction of IQ with genetic risk. American Journal of Psychiatry, 172(3), 259265.CrossRefGoogle Scholar
Kessler, R. C., Chiu, W. T., Demler, O., Merikangas, K. R., & Walters, E. E. (2005). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 617627.CrossRefGoogle ScholarPubMed
Khandaker, G. M., Barnett, J. H., White, I. R., & Jones, P. B. (2011). A quantitative meta-analysis of population-based studies of premorbid intelligence and schizophrenia. Schizophrenia Research, 132(2–3), 220227.CrossRefGoogle Scholar
Khandaker, G. M., Stochl, J., Zammit, S., Lewis, G., & Jones, P. B. (2014). A population-based longitudinal study of childhood neurodevelopmental disorders, IQ and subsequent risk of psychotic experiences in adolescence. Psychological Medicine, 44(15), 32293238.CrossRefGoogle ScholarPubMed
Kim, H. S., Shin, N. Y., Jang, J. H., Kim, E., Shim, G., Park, H. Y., … Kwon, J. S. (2011). Social cognition and neurocognition as predictors of conversion to psychosis in individuals at ultra-high risk. Schizophrenia Research, 130(1–3), 170175.CrossRefGoogle ScholarPubMed
Klimes-Dougan, B., Ronsaville, D., Wiggs, E. A., & Martinez, P. E. (2006). Neuropsychological functioning in adolescent children of mothers with a history of bipolar or major depressive disorders. Biological Psychiatry, 60(9), 957965.CrossRefGoogle ScholarPubMed
Klimkeit, E. I., Tonge, B., Bradshaw, J. L., Melvin, G. A., & Gould, K. (2011). Neuropsychological deficits in adolescent unipolar depression. Archives of Clinical Neuropsychology, 26(7), 662676.CrossRefGoogle ScholarPubMed
Koenen, K. C., Moffitt, T. E., Roberts, A. L., Martin, L. T., Kubzansky, L., Harrington, H., … Caspi, A. (2009). Childhood IQ and adult mental disorders: a test of the cognitive reserve hypothesis. American Journal of Psychiatry, 166(1), 5057.CrossRefGoogle ScholarPubMed
Kohler, C. G., Hoffman, L. J., Eastman, L. B., Healey, K., & Moberg, P. J. (2011). Facial emotion perception in depression and bipolar disorder: a quantitative review. Psychiatry Research, 188(3), 303309.CrossRefGoogle ScholarPubMed
Kohler, C. G., Walker, J. B., Martin, E. A., Healey, K. M., & Moberg, P. J. (2010). Facial emotion perception in schizophrenia: a meta-analytic review. Schizophrenia Bulletin, 36(5), 10091019.CrossRefGoogle ScholarPubMed
Koutsouleris, N., Davatzikos, C., Bottlender, R., Patschurek-Kliche, K., Scheuerecker, J., Decker, P., … Meisenzahl, E. M. (2012). Early recognition and disease prediction in the at-risk mental states for psychosis using neurocognitive pattern classification. Schizophrenia Bulletin, 38(6), 12001215.CrossRefGoogle ScholarPubMed
Kurtz, M. M., & Gerraty, R. T. (2009). A meta-analytic investigation of neurocognitive deficits in bipolar illness: profile and effects of clinical state. Neuropsychology, 23(5), 551562.CrossRefGoogle ScholarPubMed
Kyte, Z. A., Goodyer, I. M., & Sahakian, B. J. (2005). Selected executive skills in adolescents with recent first episode major depression. Journal of Child Psychology and Psychiatry, 46(9), 9951005.CrossRefGoogle ScholarPubMed
Lang, K., Lopez, C., Stahl, D., Tchanturia, K., & Treasure, J. (2014a). Central coherence in eating disorders: an updated systematic review and meta-analysis. World Journal of Biological Psychiatry, 15(8), 586598.CrossRefGoogle ScholarPubMed
Lang, K., Stahl, D., Espie, J., Treasure, J., & Tchanturia, K. (2014b). Set shifting in children and adolescents with anorexia nervosa: an exploratory systematic review and meta-analysis. International Journal of Eating Disorders, 47(4), 394399.CrossRefGoogle ScholarPubMed
Lavoie, M. A., Plana, I., Lacroix, J. B., Godmaire-Duhaime, F., Jackson, P. L., & Achim, A. M. (2013). Social cognition in first-degree relatives of people with schizophrenia: a meta-analysis. Psychiatry Research, 209(2), 129135.CrossRefGoogle ScholarPubMed
Lee, J., Altshuler, L., Glahn, D. C., Miklowitz, D. J., Ochsner, K., & Green, M. F. (2013a). Social and nonsocial cognition in bipolar disorder and schizophrenia: relative levels of impairment. American Journal of Psychiatry, 170(3), 334341.CrossRefGoogle Scholar
Lee, R. S., Hermens, D. F., Porter, M. A., & Redoblado-Hodge, M. A. (2012). A meta-analysis of cognitive deficits in first-episode major depressive disorder. Journal of Affective Disorders, 140(2), 113124.CrossRefGoogle ScholarPubMed
Lee, R. S., Hermens, D. F., Redoblado-Hodge, M. A., Naismith, S. L., Porter, M. A., Kaur, M., … Hickie, I. B. (2013b). Neuropsychological and socio-occupational functioning in young psychiatric outpatients: a longitudinal investigation. PLoS One, 8(3), e58176.CrossRefGoogle ScholarPubMed
Lee, R. S., Hermens, D. F., Scott, J., Redoblado-Hodge, M. A., Naismith, S. L., Lagopoulos, J., … Hickie, I. B. (2014). A meta-analysis of neuropsychological functioning in first-episode bipolar disorders. Journal of Psychiatric Research, 57, 111.CrossRefGoogle ScholarPubMed
Lee, T. Y., Hong, S. B., Shin, N. Y., & Kwon, J. S. (2015). Social cognitive functioning in prodromal psychosis: a meta-analysis. Schizophrenia Research, 164(1–3), 2834.CrossRefGoogle ScholarPubMed
Leopold, R., & Backenstrass, M. (2015). Neuropsychological differences between obsessive-compulsive washers and checkers: a systematic review and meta-analysis. Journal of Anxiety Disorders, 30, 4858.CrossRefGoogle ScholarPubMed
Lewin, A. B., Larson, M. J., Park, J. M., McGuire, J. F., Murphy, T. K., & Storch, E. A. (2014). Neuropsychological functioning in youth with obsessive compulsive disorder: an examination of executive function and memory impairment. Psychiatry Research, 216(1), 108115.CrossRefGoogle ScholarPubMed
Lezak, M. D., Howieson, D. B., & Loring, D. W. (2004). Neuropsychological assessment (4th ed.). New York: Oxford University Press.Google Scholar
Lim, J., Rekhi, G., Rapisarda, A., Lam, M., Kraus, M., Keefe, R. S., & Lee, J. (2015). Impact of psychiatric comorbidity in individuals at ultra high risk of psychosis: findings from the Longitudinal Youth at Risk Study (LYRIKS). Schizophrenia Research, 164, 814.CrossRefGoogle Scholar
Lin, A., Reniers, R. L. E. P., & Wood, S. J. (2013). Clinical staging in severe mental disorder: evidence from neurocognition and neuroimaging. British Journal of Psychiatry, 202(Suppl. 54), s11s17.CrossRefGoogle Scholar
Lin, A., Wood, S. J., Nelson, B., Brewer, W. J., Spiliotacopoulos, D., Bruxner, A., … Yung, A. R. (2011). Neurocognitive predictors of functional outcome two to 13 years after identification as ultra-high risk for psychosis. Schizophrenia Research, 132, 17.CrossRefGoogle ScholarPubMed
Lopez, C., Stahl, D., & Tchanturia, K. (2010). Estimated intelligence quotient in anorexia nervosa: a systematic review and meta-analysis of the literature. Annals of General Psychiatry, 9, 40.CrossRefGoogle Scholar
Lopez-Jaramillo, C., Lopera-Vasquez, J., Gallo, A., Ospina-Duque, J., Bell, V., Torrent, C., … Vieta, E. (2010). Effects of recurrence on the cognitive performance of patients with bipolar I disorder: implications for relapse prevention and treatment adherence. Bipolar Disorders, 12(5), 557567.CrossRefGoogle ScholarPubMed
Maalouf, F. T., Brent, D., Clark, L., Tavitian, L., McHugh, R. M., Sahakian, B. J., & Phillips, M. L. (2011). Neurocognitive impairment in adolescent major depressive disorder: state vs. trait illness markers. Journal of Affective Disorders, 133(3), 625632.CrossRefGoogle ScholarPubMed
MacCabe, J. H., Lambe, M. P., Cnattingius, S., Sham, P. C., David, A. S., Reichenberg, A., … Hultman, C. M. (2010). Excellent school performance at age 16 and risk of adult bipolar disorder: national cohort study. British Journal of Psychiatry, 196, 109115.CrossRefGoogle ScholarPubMed
MacCabe, J. H., Wicks, S., Lofving, S., David, A. S., Berndtsson, A., Gustafsson, J. E., … Dalman, C. (2013). Decline in cognitive performance between ages 13 and 18 years and the risk for psychosis in adulthood: a Swedish longitudinal cohort study in males. JAMA Psychiatry, 70(3), 261270.CrossRefGoogle ScholarPubMed
Mann-Wrobel, M. C., Carreno, J. T., & Dickinson, D. (2011). Meta-analysis of neuropsychological functioning in euthymic bipolar disorder: an update and investigation of moderator variables. Bipolar Disorders, 13(4), 334342.CrossRefGoogle ScholarPubMed
Martinez-Aran, A., Vieta, E., Reinares, M., Colom, F., Torrent, C., Sanchez-Moreno, J., … Salamero, M. (2004). Cognitive function across manic or hypomanic, depressed, and euthymic states in bipolar disorder. American Journal of Psychiatry, 161, 262270.CrossRefGoogle ScholarPubMed
Martino, D. J., Samame, C., Ibanez, A., & Strejilevich, S. A. (2015). Neurocognitive functioning in the premorbid stage and in the first episode of bipolar disorder: a systematic review. Psychiatry Research, 226(1), 2330.CrossRefGoogle ScholarPubMed
Mathews, A., & MacLeod, C. (2005). Cognitive vulnerability to emotional disorders. Annual Review in Clinical Psychology, 1, 167195.CrossRefGoogle ScholarPubMed
McClintock, S. A., Husain, M. M., Greer, T. L., & Cullum, C. M. (2010). Association between depression severity and neurocognitive function in major depressive disorder: a review and synthesis. Neuropsychology, 24(1), 934.CrossRefGoogle ScholarPubMed
McDermott, L. M., & Ebmeier, K. P. (2009). A meta-analysis of depression severity and cognitive function. Journal of Affective Disorders, 119(1–3), 18.CrossRefGoogle ScholarPubMed
McGorry, P. D., Keshavan, M., Goldstone, S., Amminger, P., Allott, K., Berk, M., … Hickie, I. (2014). Biomarkers and clinical staging in psychiatry. World Psychiatry, 13, 211223.CrossRefGoogle Scholar
Mesholam-Gately, R., Giuliano, A. J., Faraone, S. V., Goff, K. P., & Seidman, L. J. (2009). Neurocognition in first-episode schizophrenia: a meta-analytic review. Neuropsychology, 23(3), 315336.CrossRefGoogle ScholarPubMed
Metzler, S., Dvorsky, D., Wyss, C., Muller, M., Gerstenberg, M., Traber-Walker, N., … Heekeren, K. (2015). Changes in neurocognitive functioning during transition to manifest disease: comparison of individuals at risk for schizophrenic and bipolar affective psychoses. Psychological Medicine, 45(10), 21232134.CrossRefGoogle ScholarPubMed
Meyer, S. E., Carlson, G. A., Wiggs, E. A., Martinez, P. E., Ronsaville, D. S., Klimes-Dougan, B., … Radke-Yarrow, M. (2004). A prospective study of the association among impaired executive functioning, childhood attentional problems, and the development of bipolar disorder. Development and Psychopathology, 16(2), 461476.CrossRefGoogle ScholarPubMed
Micco, J. A., Henin, A., Biederman, J., Rosenbaum, J. F., Petty, C.,