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The non-specific nature of mental health and structural brain outcomes following childhood trauma

Published online by Cambridge University Press:  06 July 2021

Theresa K. Haidl*
Affiliation:
Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Dennis M. Hedderich
Affiliation:
Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine Technical University of Munich, Munich, Germany
Marlene Rosen
Affiliation:
Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Nathalie Kaiser
Affiliation:
Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Mauro Seves
Affiliation:
Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Thorsten Lichtenstein
Affiliation:
Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Nora Penzel
Affiliation:
Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Julian Wenzel
Affiliation:
Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Lana Kambeitz-Ilankovic
Affiliation:
Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany
Anne Ruef
Affiliation:
Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany
David Popovic
Affiliation:
Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
Frauke Schultze-Lutter
Affiliation:
Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany Department of Psychology and Mental Health, Faculty of Psychology, Airlangga University, Surabaya, Indonesia University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
Katharine Chisholm
Affiliation:
Institute of Mental Health, University of Birmingham, Birmingham, UK Department of Psychology, Aston University, Birmingham, UK
Rachel Upthegrove
Affiliation:
Institute of Mental Health, University of Birmingham, Birmingham, UK Early Intervention Service, Birmingham Womens and Childrens NHS Foundation Trust, UK
Raimo K. R. Salokangas
Affiliation:
Department of Psychiatry, University of Turku, Turku, Finland
Christos Pantelis
Affiliation:
Melbourne Neuropsychiatry Centre, University of Melbourne & Melbourne Health, Victoria, Australia
Eva Meisenzahl
Affiliation:
Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
Stephen J. Wood
Affiliation:
Institute of Mental Health, University of Birmingham, Birmingham, UK Orygen, Melbourne, Australia Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
Paolo Brambilla
Affiliation:
Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
Stefan Borgwardt
Affiliation:
Department of Psychiatry (Psychiatric University Hospital, UPK), University of Basel, Basel, Switzerland Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
Stephan Ruhrmann
Affiliation:
Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Joseph Kambeitz
Affiliation:
Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
Nikolaos Koutsouleris
Affiliation:
Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University Munich, Munich, Germany Institute of Psychiatry, Psychology and Neuroscience, London, UK Max-Planck Institute of Psychiatry Munich, Munich, Germany
*
Author for correspondence: Theresa K. Haidl, E-mail: theresa.haidl@uk-koeln.de

Abstract

Background

Childhood trauma (CT) is associated with an increased risk of mental health disorders; however, it is unknown whether this represents a diagnosis-specific risk factor for specific psychopathology mediated by structural brain changes. Our aim was to explore whether (i) a predictive CT pattern for transdiagnostic psychopathology exists, and whether (ii) CT can differentiate between distinct diagnosis-dependent psychopathology. Furthermore, we aimed to identify the association between CT, psychopathology and brain structure.

Methods

We used multivariate pattern analysis in data from 643 participants of the Personalised Prognostic Tools for Early Psychosis Management study (PRONIA), including healthy controls (HC), recent onset psychosis (ROP), recent onset depression (ROD), and patients clinically at high-risk for psychosis (CHR). Participants completed structured interviews and self-report measures including the Childhood Trauma Questionnaire, SCID diagnostic interview, BDI-II, PANSS, Schizophrenia Proneness Instrument, Structured Interview for Prodromal Symptoms and structural MRI, analyzed by voxel-based morphometry.

Results

(i) Patients and HC could be distinguished by their CT pattern with a reasonable precision [balanced accuracy of 71.2% (sensitivity = 72.1%, specificity = 70.4%, p ≤ 0.001]. (ii) Subdomains ‘emotional neglect’ and ‘emotional abuse’ were most predictive for CHR and ROP, while in ROD ‘physical abuse’ and ‘sexual abuse’ were most important. The CT pattern was significantly associated with the severity of depressive symptoms in ROD, ROP, and CHR, as well as with the PANSS total and negative domain scores in the CHR patients. No associations between group-separating CT patterns and brain structure were found.

Conclusions

These results indicate that CT poses a transdiagnostic risk factor for mental health disorders, possibly related to depressive symptoms. While differences in the quality of CT exposure exist, diagnostic differentiation was not possible suggesting a multi-factorial pathogenesis.

Type
Original Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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Footnotes

*

Shared first authorship.

Shared senior authorship.

See PRONIA consortium author list.

References

Albert, U., Tomassi, S., Maina, G., & Tosato, S. (2018). Prevalence of non-psychotic disorders in ultra-high risk individuals and transition to psychosis: A systematic review. Psychiatry Research, 270, 112. doi: 10.1016/j.psychres.2018.09.028.CrossRefGoogle ScholarPubMed
American Psychiatric Association (2000). Diagnostic and statistical manual of mental disorders: DSM-IV (4th ed., text rev.). Washington, DC.Google Scholar
Bentall, R. P., Wickham, S., Shevlin, M., & Varese, F. (2012). Do specific early-life adversities lead to specific symptoms of psychosis? A study from the 2007 the Adult Psychiatric Morbidity Survey. Schizophrenia Bulletin, 38(4), 734740. doi: 10.1093/schbul/sbs049.CrossRefGoogle ScholarPubMed
Bernstein, D., & Fink, L. (1998). Childhood Trauma Questionnaire: A retrospective self-report. San Antonio: The Psychological Corporation.Google Scholar
Bruni, A., Carbone, E. A., Pugliese, V., Aloi, M., Calabro, G., Cerminara, G., … De Fazio, P. (2018). Childhood adversities are different in schizophrenic spectrum disorders, bipolar disorder and major depressive disorder. BMC Psychiatry, 18(1), 391. doi: 10.1186/s12888-018-1972-8.CrossRefGoogle ScholarPubMed
Clinical Guidelines on Drug Misuse and Dependence Update 2017 Independent Expert Working Group (2017). Drug misuse and dependence: UK guidelines on clinical management. London.Google Scholar
Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. G. (2015). Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD). Annals of Internal Medicine, 162(10), 735736. doi: 10.7326/L15-5093-2.CrossRefGoogle ScholarPubMed
Colman, I., Kingsbury, M., Garad, Y., Zeng, Y., Naicker, K., Patten, S., … Thompson, A. H. (2016). Consistency in adult reporting of adverse childhood experiences. Psychological Medicine, 46(3), 543549. doi: 10.1017/S0033291715002032.CrossRefGoogle ScholarPubMed
Fan, R., Chang, K., Hsieh, C., Wang, X., & Lin, C. (2008). LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 9(9), 18711874. doi: 10.1145/1390681.1442794.Google Scholar
Fang, X., Brown, D. S., Florence, C. S., & Mercy, J. A. (2012). The economic burden of child maltreatment in the United States and implications for prevention. Child Abuse & Neglect, 36(2), 156165. doi: doi:10.1016/j.chiabu.2011.10.006.CrossRefGoogle ScholarPubMed
Gaser, C., & Dahnke, R. (2016). CAT – A computational anatomy toolbox for the analysis of structural MRI data. Retrieved from http://www.neuro.uni-jena.de/hbm2016/GaserHBM2016.pdf.Google Scholar
Golland, P., & Fischl, B. (2003). Permutation tests for classification: Towards statistical significance in image-based studies. Information Processing in Medical Imaging, 18, 330341. doi: 10.1007/978-3-540-45087-0_28.CrossRefGoogle ScholarPubMed
Hautzinger, M., Bailer, M., Worall, H., & Keller, F. (1995). Beck-Depressions-Inventor (BDI). Testhandbuch. 2. Auflage. Bern: Hans Huber.Google Scholar
Hayasaka, Y., Purgato, M., Magni, L. R., Ogawa, Y., Takeshima, N., Cipriani, A., … Furukawa, T. A. (2015). Dose equivalents of antidepressants: Evidence-based recommendations from randomized controlled trials. Journal of Affective Disorders, 180, 179184. doi: 10.1016/j.jad.2015.03.021.CrossRefGoogle ScholarPubMed
Hudziak, J. (2009). Developmental Psychopathology and Wellness: Genetic and Environmental Influences (1st ed., pp. 267287). Washington, DC: American Psychiatric Publishing.Google Scholar
Kambeitz, J., Kambeitz-Ilankovic, L., Leucht, S., Wood, S., Davatzikos, C., Malchow, B., … Koutsouleris, N. (2015). Detecting neuroimaging biomarkers for schizophrenia: A meta-analysis of multivariate pattern recognition studies. Neuropsychopharmacology, 40(7), 17421751. doi: 10.1038/npp.2015.22.CrossRefGoogle ScholarPubMed
Kay, S. R., Fiszbein, A., & Opler, L. A. (1987). The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophrenia Bulletin, 13(2), 261276.CrossRefGoogle ScholarPubMed
Kessler, R. C., McLaughlin, K. A., Green, J. G., Gruber, M. J., Sampson, N. A., Zaslavsky, A. M., … Williams, D. R. (2010). Childhood adversities and adult psychopathology in the WHO World Mental Health Surveys. British Journal of Psychiatry, 197(5), 378385. doi: 10.1192/bjp.bp.110.080499.CrossRefGoogle ScholarPubMed
Koutsouleris, N., Kambeitz-Ilankovic, L., Ruhrmann, S., Rosen, M., Ruef, A., Dwyer, D. B., … Consortium, P. (2018). Prediction models of functional outcomes for individuals in the clinical high-risk state for psychosis or with recent-onset depression: A multimodal, multisite machine learning analysis. JAMA Psychiatry, 75(11), 11561172. doi: 10.1001/jamapsychiatry.2018.2165.CrossRefGoogle ScholarPubMed
Lee, D., Yu, E. S., & Kim, N. H. (2020). Resilience as a mediator in the relationship between posttraumatic stress and posttraumatic growth among adult accident or crime victims: The moderated mediating effect of childhood trauma. European Journal of Psychotraumatology, 11(1), 1704563. doi: 10.1080/20008198.2019.1704563.CrossRefGoogle ScholarPubMed
Leucht, S., Samara, M., Heres, S., & Davis, J. M. (2016). Dose equivalents for antipsychotic drugs: The DDD method. Schizophrenia Bulletin, 42(Suppl 1), S90S94. doi: 10.1093/schbul/sbv167.CrossRefGoogle ScholarPubMed
Lindert, J., von Ehrenstein, O. S., Grashow, R., Gal, G., Braehler, E., & Weisskopf, M. G. (2014). Sexual and physical abuse in childhood is associated with depression and anxiety over the life course: Systematic review and meta-analysis. International Journal of Public Health, 59(2), 359372. doi: 10.1007/s00038-013-0519-5.CrossRefGoogle ScholarPubMed
Marshall, M., Shannon, C., Meenagh, C., Mc Corry, N., & Mulholland, C. (2018). The association between childhood trauma, parental bonding and depressive symptoms and interpersonal functioning in depression and bipolar disorder. Irish Journal of Psychological Medicine, 35(1), 2332. doi: 10.1017/ipm.2016.43.CrossRefGoogle ScholarPubMed
McGlashan, T., Walsh, B., & Woods, S. (2010). The psychosis-risk syndrome: Handbook for diagnosis and follow-up. Oxford: Oxford University Press.Google Scholar
Mikton, C., & Butchart, A. (2009). Child maltreatment prevention: A systematic review of reviews. Bulletin of the World Health Organization, 87(5), 353361. doi: 10.2471/blt.08.057075.CrossRefGoogle ScholarPubMed
Nelson, J., Klumparendt, A., Doebler, P., & Ehring, T. (2017). Childhood maltreatment and characteristics of adult depression: Meta-analysis. British Journal of Psychiatry, 210(2), 96104. doi: 10.1192/bjp.bp.115.180752.CrossRefGoogle ScholarPubMed
Palmier-Claus, J. E., Berry, K., Bucci, S., Mansell, W., & Varese, F. (2016). Relationship between childhood adversity and bipolar affective disorder: Systematic review and meta-analysis. British Journal of Psychiatry, 209(6), 454459. doi: 10.1192/bjp.bp.115.179655.CrossRefGoogle ScholarPubMed
Phillips, L. J., Yung, A. R., & McGorry, P. D. (2000). Identification of young people at risk of psychosis: Validation of personal assessment and crisis evaluation clinic intake criteria. Australian and New Zealand Journal of Psychiatry, 34(Suppl), S164S169. doi: 10.1080/000486700239.CrossRefGoogle ScholarPubMed
Popovic, D., Ruef, A., Dwyer, D., Antonucci, L., Eder, J., Sanfelici, R., … Koutsouleris, N. (2020). Traces of trauma – a multivariate pattern analysis of childhood trauma, brain structure and clinical phenotypes. Biological Psychiatry, 88(11), 829842. doi: 10.1016/j.biopsych.2020.05.020CrossRefGoogle ScholarPubMed
Rubino, I. A., Nanni, R. C., Pozzi, D. M., & Siracusano, A. (2009). Early adverse experiences in schizophrenia and unipolar depression. Journal of Nervous and Mental Disease, 197(1), 6568. doi: 10.1097/NMD.0b013e3181925342.CrossRefGoogle ScholarPubMed
Sahin, S., Yuksel, C., Guler, J., Karadayi, G., Akturan, E., Gode, E., … Ucok, A. (2013). The history of childhood trauma among individuals with ultra high risk for psychosis is as common as among patients with first-episode schizophrenia. Early Intervention in Psychiatry, 7(4), 414420. doi: 10.1111/eip.12022.CrossRefGoogle ScholarPubMed
Salokangas, R. K. R., From, T., Luutonen, S., & Hietala, J. (2018). Adverse childhood experiences leads to perceived negative attitude of others and the effect of adverse childhood experiences on depression in adulthood is mediated via negative attitude of others. European Psychiatry, 54, 2734. doi: 10.1016/j.eurpsy.2018.06.011.CrossRefGoogle ScholarPubMed
Salokangas, R. K. R., From, T., Luutonen, S., Salokangas, H. R. W., & Hietala, J. (2018). Effect of childhood adversities on alcohol problems is mainly mediated by depression. The American Journal on Addictions, 27, 391399. 10.1111/ajad.12734..CrossRefGoogle Scholar
Salokangas, R. K. R., Hietala, J., Armio, R. L., Laurikainen, H., From, T., Borgwardt, S., … Koutsouleris, N. (2021). Effect of childhood physical abuse on social anxiety is mediated via reduced frontal lobe and amygdala-hippocampus complex volume in adult clinical high-risk subjects. Schizophrenia Research, 227, 101109. doi: 10.1016/j.schres.2020.05.041.CrossRefGoogle ScholarPubMed
Salokangas, R. K. R., Patterson, P., Hietala, J., Heinimaa, M., From, T., Ilonen, T., … Ruhrmann, S. (2019). Childhood adversity predicts persistence of suicidal thoughts differently in females and males at clinical high-risk patients of psychosis. Results of the EPOS project. Early Intervention Psychiatry, 13(4), 935942. doi: 10.1111/eip.12714.CrossRefGoogle ScholarPubMed
Scher, C. D., Forde, D. R., McQuaid, J. R., & Stein, M. B. (2004). Prevalence and demographic correlates of childhood maltreatment in an adult community sample. Child Abuse & Neglect, 28(2), 167180. doi: 10.1016/j.chiabu.2003.09.012.CrossRefGoogle Scholar
Schultze-Lutter, F., Addington, J., Ruhrmann, S., & Klosterkötter, J. (2007). Schizophrenia Proneness Instrument, Adult Version (SPI-A). Rom: Giovanni Fioriti Editore.Google Scholar
Scott, K. M., McLaughlin, K. A., Smith, D. A., & Ellis, P. M. (2012). Childhood maltreatment and DSM-IV adult mental disorders: Comparison of prospective and retrospective findings. British Journal of Psychiatry, 200(6), 469475. doi: 10.1192/bjp.bp.111.103267.CrossRefGoogle ScholarPubMed
Smith, S. M., & Nichols, T. E. (2009). Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage, 44(1), 8398. doi: 10.1016/j.neuroimage.2008.03.061.CrossRefGoogle ScholarPubMed
Steyerberg, E. W., & Harrell, F. E. Jr. (2016). Prediction models need appropriate internal, internal-external, and external validation. Journal of Clinical Epidemiology, 69, 245247. 10.1016/j.jclinepi.2015.04.005.CrossRefGoogle ScholarPubMed
Trauelsen, A. M., Bendall, S., Jansen, J. E., Nielsen, H. G., Pedersen, M. B., Trier, C. H., … Simonsen, E. (2015). Childhood adversity specificity and dose-response effect in non-affective first-episode psychosis. Schizophrenia Research, 165(1), 5259. doi: 10.1016/j.schres.2015.03.014.CrossRefGoogle ScholarPubMed
Upthegrove, R., Chard, C., Jones, L., Gordon-Smith, K., Forty, L., Jones, I., & Craddock, N. (2015). Adverse childhood events and psychosis in bipolar affective disorder. British Journal of Psychiatry, 206(3), 191197. doi: 10.1192/bjp.bp.114.152611.CrossRefGoogle ScholarPubMed
Varese, F., Smeets, F., Drukker, M., Lieverse, R., Lataster, T., Viechtbauer, W., … Bentall, R. P. (2012). Childhood adversities increase the risk of psychosis: A meta-analysis of patient-control, prospective- and cross-sectional cohort studies. Schizophrenia Bulletin, 38(4), 661671. doi: 10.1093/schbul/sbs050.CrossRefGoogle ScholarPubMed
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