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18 - Neuroscience of functional outcomes and treatment targets in major depressive disorder

from Part IV - Treatment opportunities for ameliorating cognitive dysfunction in major depressive disorder

Published online by Cambridge University Press:  05 March 2016

By
Lisanne M. Jenkins ,
Amy Peters ,
Rachel H. Jacobs  and
Scott A. Langenecker
Edited by
Roger S. McIntyre
Edited in association with
Danielle S. Cha
Roger S. McIntyre
Affiliation:
University of Toronto
Danielle S. Cha
Affiliation:
University of Toronto
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Chapter
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Cognitive Impairment in Major Depressive Disorder
Clinical Relevance, Biological Substrates, and Treatment Opportunities
 , pp. 257 - 273
Publisher: Cambridge University Press
Print publication year: 2016

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References

Anaya, C., Aran, A. M., Ayuso-Mateos, J. L., Wykes, T., Vieta, E., & Scott, J. (2012). A systematic review of cognitive remediation for schizo-affective and affective disorders. Journal of Affective Disorders, 142(1–3): 13–21.Google Scholar
Berlim, M. T., McGirr, A., Van den Eynde, F., Fleck, M. P. A., & Giacobbe, P. (2014). Effectiveness and acceptability of deep brain stimulation (DBS) of the subgenual cingulate cortex for treatment-resistant depression: A systematic review and exploratory meta-analysis. Journal of Affective Disorders, 159: 31–38.CrossRefGoogle ScholarPubMed
Bewernick, B. H., Kayser, S., Sturm, V., & Schlaepfer, T. E. (2012). Long-term effects of nucleus accumbens deep brain stimulation in treatment-resistant depression: Evidence for sustained efficacy. Neuropsychopharmacology, 37(9): 1975–1985.Google Scholar
Bouhuys, A. L., Geerts, E., & Gordijn, M. C. M. (1999). Depressed patients’ perceptions of facial emotions in depressed and remitted states are associated with relapse: A longitudinal study. Journal of Nervous and Mental Disease, 187(10): 595–602.CrossRefGoogle ScholarPubMed
Bricen∼o, E. M., Weisenbach, S. L., Rapport, L. J., Hazlett, K. E., Bieliauskas, L. A., Haase, B. D., … Langenecker, S. A. (2013). Shifted inferior frontal laterality in women with major depressive disorder is related to emotion processing deficits. Psychological Medicine, 43(7): 1433–1445.Google Scholar
Browning, M., Holmes, E. A., & Harmer, C. J. (2010). The modification of attentional bias to emotional information: A review of the techniques, mechanisms, and relevance to emotional disorders.Cognitive, Affective & Behavioral Neuroscience, 10(1): 8–20.CrossRefGoogle ScholarPubMed
Brunoni, A. R. & Vanderhasselt, M. A. (2014). Working memory improvement with non-invasive brain stimulation of the dorsolateral prefrontal cortex: A systematic review and meta-analysis. Brain and Cognition, 86: 1–9.CrossRefGoogle ScholarPubMed
Channon, S. & Green, P. S. S. (1999). Executive function in depression: The role of performance strategies in aiding depressed and non-depressed participants. Journal of Neurology, Neurosurgery, and Psychiatry, 66(2): 162–171.Google Scholar
Chen, A. C., Oathes, D. J., Chang, C., Bradley, T., Zhou, Z. W., Williams, L. M., … Etkin, A. (2013). Causal interactions between fronto-parietal central executive and default-mode networks in humans. Proceedings of the National Academy of Sciences of the United States of America, 110(49): 19944–19949.Google Scholar
Clark, D. A. & Beck, A. T. (2010). Cognitive theory and therapy of anxiety and depression: Convergence with neurobiological findings. Trends in Cognitive Sciences, 14(9): 418–424.Google Scholar
Clark, L., Chamberlain, S. R., & Sahakian, B. J. (2009). Neurocognitive mechanisms in depression: Implications for treatment. Annual Review of Neuroscience, 32: 57–74.Google Scholar
Connolly, C. G., Wu, J., Ho, T. C., Hoeft, F., Wolkowitz, O., Eisendrath, S., … Yang, T. T. (2013). Resting-state functional connectivity of subgenual anterior cingulate cortex in depressed adolescents. Biological Psychiatry, 74(12): 898–907.Google Scholar
Connolly, S. L., Wagner, C. A., Shapero, B. G., Pendergast, L. L., Abramson, L. Y., & Alloy, L. B. (2014). Rumination prospectively predicts executive functioning impairments in adolescents. Journal of Behavior Therapy and Experimental Psychiatry, 45(1): 46–56.Google Scholar
Cooney, R. E., Joormann, J., Eugene, F., Dennis, E. L., & Gotlib, I. H. (2010). Neural correlates of rumination in depression.Cognitive, Affective, & Behavioral Neuroscience, 10(4): 470–478.Google Scholar
Disner, S. G., Beevers, C. G., Haigh, E. A. P., & Beck, A. T. (2011). Neural mechanisms of the cognitive model of depression. Nature Reviews Neuroscience, 12(8): 467–477.Google Scholar
Ehring, T., Fischer, S., Schnulle, J., Bosterling, A., & Tuschen-Caffier, B. (2008). Characteristics of emotion regulation in recovered depressed versus never depressed individuals. Personality and Individual Differences, 44(7): 1574–1584.CrossRefGoogle Scholar
Elliott, R., Zahn, R., Deakin, J. F. W., & Anderson, I. M. (2011). Affective cognition and its disruption in mood disorders. Neuropsychopharmacology, 36(1): 153–182.Google Scholar
Farb, N. A. S., Anderson, A. K., Bloch, R. T., & Segal, Z. V. (2011). Mood-linked responses in medial prefrontal cortex predict relapse in patients with recurrent unipolar depression. Biological Psychiatry, 70(4): 366–372.Google Scholar
Fitzgerald, P. B., Laird, A. R., Maller, J., & Daskalakis, Z. J. (2008). A meta-analytic study of changes in brain activation in depression. Human Brain Mapping, 29(6): 683–695.Google Scholar
Flynn, M., Kecmanovic, J., & Alloy, L. B. (2010). An examination of integrated cognitive-interpersonal vulnerability to depression: The role of rumination, perceived social support, and interpersonal stress generation. Cognitive Therapy and Research, 34(5): 456–466.CrossRefGoogle ScholarPubMed
Fu, C. H. Y., 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: 75–83.Google Scholar
George, M. S., Ketter, T. A., Parekh, P. I., Rosinsky, N., Ring, H. A., Pazzaglia, P. J., … Post, R. M. (1997). Blunted left cingulate activation in mood disorder subjects during a response interference task (the Stroop). Journal of Neuropsychiatry and Clinical Neurosciences, 9(1): 55–63.Google Scholar
Godard, J., Grondin, S., Baruch, P., & Lafleur, M. F. (2011). Psychosocial and neurocognitive profiles in depressed patients with major depressive disorder and bipolar disorder. Psychiatry Research, 190(2–3): 244–252.Google Scholar
Gorlyn, M., Keilp, J. G., Grunebaum, M. F., Taylor, B. P., Oquendo, M. A., Bruder, G. E., … Mann, J. J. (2008). Neuropsychological characteristics as predictors of SSRI treatment response in depressed subjects. Journal of Neural Transmission, 115(8): 1213–1219.Google Scholar
Gotlib, I. H. & Joormann, J. (2010). Cognition and depression: Current status and future directions. In Nolen-Hoeksema, S., Cannon, T. D., & Widiger, T. (eds.), Annual Review of Clinical Psychology, Vol. 6 (pp. 285–312). Palo Alto, CA: Annual Reviews.Google Scholar
Greicius, M. D., Flores, B. H., Menon, V., Glover, G. H., Solvason, H. B., Kenna, H., … Schatzberg, A. F. (2007). Resting-state functional connectivity in major depression: Abnormally increased contributions from subgenual cingulate cortex and thalamus. Biological Psychiatry, 62(5): 429–437.CrossRefGoogle ScholarPubMed
Gross, J. J. & John, O. P. (2003). Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. Journal of Personality and Social Psychology, 85(2): 348–362.Google Scholar
Grubert, C., Hurlemann, R., Bewernick, B. H., Kayser, S., Hadrysiewicz, B., Axmacher, N., … Schlaepfer, T. E. (2011). Neuropsychological safety of nucleus accumbens deep brain stimulation for major depression: Effects of 12-month stimulation. World Journal of Biological Psychiatry, 12(7): 516–527.Google Scholar
Gudayol-Ferré, E., Guadia-Olmos, J., Pero-Cebollero, M., Herrera-Guzman, I., Camarena, B., Cortes-Penagos, C., … Martinez-Medina, P. (2013). Prediction of the time-course pattern of remission in depression by using clinical, neuropsychological, and genetic variables. Journal of Affective Disorders, 150(3): 1082–1090.Google Scholar
Hamilton, J. P., Etkin, A., Furman, D. J., Lemus, M. G., Johnson, R. F., & Gotlib, I. H. (2012). Functional neuroimaging of major depressive disorder: A meta-analysis and new integration of baseline activation and neural response data. American Journal of Psychiatry, 169(7): 693–703.Google Scholar
Hammar, A., Lund, A., & Hugdahl, K. (2003). Selective impairment in effortful information processing in major depression. Journal of the International Neuropsychological Society, 9(6): 954–959.Google Scholar
Harmer, C. J., Cowen, P. J., & Goodwin, G. M. (2011). Efficacy markers in depression. Journal of Psychopharmacology, 25(9): 1148–1158.Google Scholar
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): 20–31.CrossRefGoogle ScholarPubMed
Joormann, J. & D’Avanzato, C. (2010). Emotion regulation in depression: Examining the role of cognitive processes. Cognition & Emotion, 24(6): 913–939.CrossRefGoogle Scholar
Joormann, J. & Gotlib, I. H. (2007). Selective attention to emotional faces following recovery from depression. Journal of Abnormal Psychology, 116(1): 80–85.CrossRefGoogle ScholarPubMed
Kampf-Sherf, O., Zlotogorski, Z., Gilboa, A., Speedie, L., Lereya, J., Rosca, P., & Shavit, Y. (2004). Neuropsychological functioning in major depression and responsiveness to selective serotonin reuptake inhibitors antidepressants. Journal of Affective Disorders, 82(3): 453–459.Google Scholar
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): 303–309.CrossRefGoogle ScholarPubMed
Krishnan, V. & Nestler, E. J. (2008). The molecular neurobiology of depression. Nature, 455(7215): 894–902.Google Scholar
Langenecker, S. A., Kennedy, S. E., Guidotti, L. M., Briceno, E. M., Own, L. S., Hooven, T., … Zubieta, J. K. (2007). Frontal and limbic activation during inhibitory control predicts treatment response in major depressive disorder. Biological Psychiatry, 62(11): 1272–1280.CrossRefGoogle ScholarPubMed
Lazarus, R. S. & Folkman, S. (1984). Stress, Appraisal and Coping. New York: Springer.Google Scholar
Lyubomirsky, S. & Nolen-Hoeksema, S. (1993). Self-perpetuating properties of dysphoric rumination. Journal of Personality and Social Psychology, 65(2): 339–349.Google Scholar
Majer, M., Ising, M., Kunzel, H., Binder, E. B., Holsboer, F., Modell, S., & Zihl, J. (2004). Impaired divided attention predicts delayed response and risk to relapse in subjects with depressive disorders. Psychological Medicine, 34(8): 1453–1463.Google Scholar
Malone, D. A., Dougherty, D. D., Rezai, A. R., Carpenter, L. L., Friehs, G. M., Eskandar, E. N., … Greenberg, B. D. (2009). Deep brain stimulation of the ventral capsule/ventral striatum for treatment-resistant depression. Biological Psychiatry, 65(4): 267–275.Google Scholar
Marchetti, I., Koster, E. H. W., Sonuga-Barke, E. J., & De Raedt, R. (2012). The default mode network and recurrent depression: A neurobiological model of cognitive risk factors. Neuropsychology Review, 22(3): 229–251.Google Scholar
Mathews, A. & MacLeod, C. (2005). Cognitive vulnerability to emotional disorders. Annual Review of Clinical Psychology, 1: 167–195.Google Scholar
McIntyre, R. S., Cha, D. S., Soczynska, J. K., Woldeyohannes, H. O., Gallaugher, L. A., Kudlow, P., … Baskaran, A. (2013). Cognitive deficits and functional outcomes in major depression disorder: Determinants, substrates, and treatment interventions. Depression and Anxiety, 30(6): 515–527.CrossRefGoogle ScholarPubMed
Miranda, R. & Nolen-Hoeksema, S. (2007). Brooding and reflection: Rumination predicts suicidal ideation at 1-year follow-up in a community sample. Behaviour Research and Therapy, 45(12): 3088–3095.Google Scholar
Moberly, N. J. & Watkins, E. R. (2008). Ruminative self-focus, negative life events, and negative affect. Behaviour Research and Therapy, 46(9): 1034–1039.Google Scholar
Nolen-Hoeksema, S. & Watkins, E. R. (2011). A heuristic for developing transdiagnostic models of psychopathology: Explaining multifinality and divergent trajectories. Perspectives on Psychological Science, 6(6): 589–609.CrossRefGoogle ScholarPubMed
Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3(5): 400–424.Google Scholar
Ochsner, K. N. & Gross, J. J. (2005). The cognitive control of emotion. Trends in Cognitive Sciences, 9(5): 242–249.Google Scholar
Okada, G., Okamoto, Y., Morinobu, S., Yamawaki, S., & Yokota, N. (2003). Attenuated left prefrontal activation during a verbal fluency task in patients with depression. Neuropsychobiology, 47(1): 21–26.Google Scholar
Osby, U., Brandt, L., Correia, N., Ekbom, A., & Sparen, P. (2001). Excess mortality in bipolar and unipolar disorder in Sweden. Archives of General Psychiatry, 58(9): 844–850.Google Scholar
Pelosi, L., Slade, T., Blumhardt, L. D., & Sharma, V. K. (2000). Working memory dysfunction in major depression: An event-related potential study. Clinical Neurophysiology, 111(9): 1531–1543.Google Scholar
Pizzagalli, D. A. (2011). Frontocingulate dysfunction in depression: Toward biomarkers of treatment response. Neuropsychopharmacology, 36(1): 183–206.CrossRefGoogle ScholarPubMed
Purcell, R., Maruff, P., Kyrios, M., & Pantelis, C. (1997). Neuropsychological function in young patients with unipolar major depression. Psychological Medicine, 27(6): 1277–1285.Google Scholar
Querstret, D. & Cropley, M. (2012). Exploring the relationship between work-related rumination, sleep quality, and work-related fatigue. Journal of Occupational Health Psychology, 17(3): 341–353.Google Scholar
Ridout, N., O’Carroll, R. E., Dritschel, B., Christmas, D., Eljamel, M., & Matthews, K. (2007). Emotion recognition from dynamic emotional displays following anterior cingulotomy and anterior capsulotomy for chronic depression. Neuropsychologia, 45(8): 1735–1743.CrossRefGoogle ScholarPubMed
Rogers, M. A., Kasai, K., Koji, M., Fukuda, R., Iwanami, A., Nakagome, K., … Kato, N. (2004).Executive and prefrontal dysfunction in unipolar depression: A review of neuropsychological and imaging evidence. Neuroscience Research, 50(1): 1–11.Google Scholar
Roiser, J. P., Elliott, R., & Sahakian, B. J. (2012). Cognitive mechanisms of treatment in depression. Neuropsychopharmacology, 37(1): 117–136.CrossRefGoogle ScholarPubMed
Ryan, K. A., Vederman, A. C., Kamali, M., Marshall, D., Weldon, A. L., McInnis, M. G., & Langenecker, S. A. (2013). Emotion perception and executive functioning predict work status in euthymic bipolar disorder. Psychiatry Research, 210(2): 472–478.Google Scholar
Sarapas, C., Shankman, S. A., Harrow, M., & Faull, R. N.(2013). Attention/processing speed prospectively predicts social impairment 18 years later in mood disorders. Journal of Nervous and Mental Disease, 201(9): 824–827.Google Scholar
Schlaepfer, T. E., Bewernick, B. H., Kayser, S., Hurlemann, R., & Coenen, V. A. (2014). Deep brain stimulation of the human reward system for major depression: Rationale, outcomes and outlook. Neuropsychopharmacology, 39(6): 1303–1314.CrossRefGoogle ScholarPubMed
Snyder, H. R. (2013). Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: A meta-analysis and review. Psychological Bulletin, 139(1): 81–132.Google Scholar
Solomon, D. A., Keller, M. B., Leon, A. C., Mueller, T. I., Lavori, P. W., Shea, T., … Endicott, J. (2000). Multiple recurrences of major depressive disorder. American Journal of Psychiatry, 157(2): 229–233.CrossRefGoogle ScholarPubMed
Spielberg, J. M., Miller, G. A., Warren, S. L., Sutton, B. P., Banich, M., & Heller, W. (2014). Transdiagnostic dimensions of anxiety and depression moderate motivation-related brain networks during goal maintenance. Depression and Anxiety, 31(10): 805–813.Google Scholar
Wagner, G., Sinsel, E., Sobanski, T., Kohler, S., Marinou, V., Mentzel, H. J., … Schlosser, R. G. M. (2006). Cortical inefficiency in patients with unipolar depression: An event-related MRI study with the Stroop task. Biological Psychiatry, 59(10): 958–965.CrossRefGoogle ScholarPubMed
Watkins, E. & Moulds, M. (2005). Distinct modes of ruminative self-focus: Impact of abstract versus concrete rumination on problem solving in depression. Emotion, 5(3): 319–328.CrossRefGoogle ScholarPubMed
Watkins, E. R., Mullan, E., Wingrove, J., Rimes, K., Steiner, H., Bathurst, N., … Scott, J. (2011). Rumination-focused cognitive-behavioural therapy for residual depression: Phase II randomised controlled trial. British Journal of Psychiatry, 199(4), 317–322.Google Scholar
Weiland-Fiedler, P., Erickson, K., Waldeck, T., Luckenbaugh, D. A., Pike, D., Bonne, O., … Neumeister, A. (2004). Evidence for continuing neuropsychological impairments in depression. Journal of Affective Disorders, 82(2): 253–258.CrossRefGoogle ScholarPubMed
Williams, J. M. G., Barnhofer, T., Crane, C., Hermans, D., Raes, F., Watkins, E., & Dalgleish, T. (2007). Autobiographical memory specificity and emotional disorder. Psychological Bulletin, 133(1): 122–148.Google Scholar
World Health Organization (2008). The Global Burden of Disease: 2004 Update. Geneva: World Health Organization.Google Scholar

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