ENIGMA‐DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross‐diagnostic psychiatric research
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...
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Published in | Human brain mapping Vol. 43; no. 1; pp. 194 - 206 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.01.2022
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Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | Funding information National Institute of Mental Health, Grant/Award Numbers: R01085953, R01MH117601, R21 MH116473; National Institutes of Health, Grant/Award Numbers: 5T32MH073526, R01 MH111671, R01 MH116147, R01 NS107739, R01EB015611, R01MH111671, R01MH112180, R01MH116948, R56 AG058854, S10 OD023696, S10OD023696, U01MH108148, U54 EB020403, 1R01MH121246‐01, R01 AG059874, R01 MH117601; Italian Ministry of Health, Grant/Award Numbers: RC 15‐16‐17‐18‐19/A, RC12‐13‐14‐15‐16‐17‐18‐19/A; Fondation pour la recherche médicale Bioinformatics for Biology 2014; South African Medical Research Council; Department of Defense, Chronic Effects of Neurotrauma Consortium (CENC), Grant/Award Numbers: 5 I01 RX002174, W81XWH‐13‐2‐0095; VA BLR&D, Grant/Award Numbers: K99NS096116, R01‐MH111671, I01BX003477; NHMRC, Grant/Award Number: 1140764; ENIGMA‐COINSTAC, Grant/Award Number: R01MH121246; ENIGMA Sex Differences, Grant/Award Number: R01MH116147; ENIGMA's NIH Big Data to Knowledge (BD2K); Health Research Board, Grant/Award Number: CDA‐2018‐001; Science Foundation Ireland, Grant/Award Number: 16ERCS3787; European Research Council, Grant/Award Number: ERC677467; SFARI Explorer Award; NIH/NIMH, Grant/Award Numbers: R01 MH100900, R01 MH085953; Kristian Gerhard Jebsen Stiftelsen, Grant/Award Number: SKGJ‐MED‐008; South‐East Norway Health Authority, Grant/Award Number: 2019108; Research Council of Norway, Grant/Award Numbers: 249711, 248980, 248778, 223273; T32 Postdoctoral Scholar Fellowship Trainee, Grant/Award Numbers: NIA T32AG058507, 5251831121 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 NFR/223273 Funding information National Institute of Mental Health, Grant/Award Numbers: R01085953, R01MH117601, R21 MH116473; National Institutes of Health, Grant/Award Numbers: 5T32MH073526, R01 MH111671, R01 MH116147, R01 NS107739, R01EB015611, R01MH111671, R01MH112180, R01MH116948, R56 AG058854, S10 OD023696, S10OD023696, U01MH108148, U54 EB020403, 1R01MH121246‐01, R01 AG059874, R01 MH117601; Italian Ministry of Health, Grant/Award Numbers: RC 15‐16‐17‐18‐19/A, RC12‐13‐14‐15‐16‐17‐18‐19/A; Fondation pour la recherche médicale Bioinformatics for Biology 2014; South African Medical Research Council; Department of Defense, Chronic Effects of Neurotrauma Consortium (CENC), Grant/Award Numbers: 5 I01 RX002174, W81XWH‐13‐2‐0095; VA BLR&D, Grant/Award Numbers: K99NS096116, R01‐MH111671, I01BX003477; NHMRC, Grant/Award Number: 1140764; ENIGMA‐COINSTAC, Grant/Award Number: R01MH121246; ENIGMA Sex Differences, Grant/Award Number: R01MH116147; ENIGMA's NIH Big Data to Knowledge (BD2K); Health Research Board, Grant/Award Number: CDA‐2018‐001; Science Foundation Ireland, Grant/Award Number: 16ERCS3787; European Research Council, Grant/Award Number: ERC677467; SFARI Explorer Award; NIH/NIMH, Grant/Award Numbers: R01 MH100900, R01 MH085953; Kristian Gerhard Jebsen Stiftelsen, Grant/Award Number: SKGJ‐MED‐008; South‐East Norway Health Authority, Grant/Award Number: 2019108; Research Council of Norway, Grant/Award Numbers: 249711, 248980, 248778, 223273; T32 Postdoctoral Scholar Fellowship Trainee, Grant/Award Numbers: NIA T32AG058507, 5251831121 |
ISSN: | 1065-9471 1097-0193 1097-0193 |
DOI: | 10.1002/hbm.24998 |