ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research.

Journal: Human brain mapping

Volume: 43

Issue: 1

Year of Publication: 2022

Affiliated Institutions:  Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA. Psychiatry Neuroimaging Laboratory, Brigham & Women's Hospital, Boston, Massachusetts, USA. Brain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA. Department of Neurology, University of Utah School of Medicine, Salt Lake City, Utah, USA. VA Boston Healthcare System, National Center for PTSD, Boston, Massachusetts, USA. Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA. Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland. Neurospin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France. Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia. Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California, USA. Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy. Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam, The Netherlands. Department of Psychiatry & Neuroscience Institute, University of Cape Town, SA MRC Unit on Risk & Resilience in Mental Disorders, Cape Town, South Africa. Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, China. Clinical Translational Neuroscience Laboratory, Department of Psychiatry, University of California Irvine, Irvine, California, USA. Department of Psychology and Neuroscience Institute, Georgia State University, Atlanta, Georgia, USA. Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Abstract summary 

The ENIGMA-DTI (diffusion tensor imaging) workgroup supports analyses that examine the effects of psychiatric, neurological, and developmental disorders on the white matter pathways of the human brain, as well as the effects of normal variation and its genetic associations. The seven ENIGMA disorder-oriented working groups used the ENIGMA-DTI workflow to derive patterns of deficits using coherent and coordinated analyses that model the disease effects across cohorts worldwide. This yielded the largest studies detailing patterns of white matter deficits in schizophrenia spectrum disorder (SSD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), posttraumatic stress disorder (PTSD), traumatic brain injury (TBI), and 22q11 deletion syndrome. These deficit patterns are informative of the underlying neurobiology and reproducible in independent cohorts. We reviewed these findings, demonstrated their reproducibility in independent cohorts, and compared the deficit patterns across illnesses. We discussed translating ENIGMA-defined deficit patterns on the level of individual subjects using a metric called the regional vulnerability index (RVI), a correlation of an individual's brain metrics with the expected pattern for a disorder. We discussed the similarity in white matter deficit patterns among SSD, BD, MDD, and OCD and provided a rationale for using this index in cross-diagnostic neuropsychiatric research. We also discussed the difference in deficit patterns between idiopathic schizophrenia and 22q11 deletion syndrome, which is used as a developmental and genetic model of schizophrenia. Together, these findings highlight the importance of collaborative large-scale research to provide robust and reproducible effects that offer insights into individual vulnerability and cross-diagnosis features.

Authors & Co-authors:  Kochunov Peter P Hong L Elliot LE Dennis Emily L EL Morey Rajendra A RA Tate David F DF Wilde Elisabeth A EA Logue Mark M Kelly Sinead S Donohoe Gary G Favre Pauline P Houenou Josselin J Ching Christopher R K CRK Holleran Laurena L Andreassen Ole A OA van Velzen Laura S LS Schmaal Lianne L Villalón-Reina Julio E JE Bearden Carrie E CE Piras Fabrizio F Spalletta Gianfranco G van den Heuvel Odile A OA Veltman Dick J DJ Stein Dan J DJ Ryan Meghann C MC Tan Yunlong Y van Erp Theo G M TGM Turner Jessica A JA Haddad Liz L Nir Talia M TM Glahn David C DC Thompson Paul M PM Jahanshad Neda N

Study Outcome 

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Statistics
Citations :  Acheson, A. , Wijtenburg, S. , Rowland, L. , Winkler, A. , Mathias, C. W. , Hong, L. , … Dougherty, D. D. (2017). Reproducibility of tract‐based white matter microstructural measures using the ENIGMA‐DTI protocol. Genes, Brain, and Behavior, 7(2), 1–10. 10.1002/brb1003.1615
Authors :  32
Identifiers
Doi : 10.1002/hbm.24998
SSN : 1097-0193
Study Population
Male,Female
Mesh Terms
Biomedical Research
Other Terms
DTI;ENIGMA;RVI;big data;cross-disorder;white matter deficit patterns
Study Design
Cross Sectional Study
Study Approach
Country of Study
Publication Country
United States