\ENIGMA\‐\DTI\: \Translating\ reproducible white matter deficits into personalized vulnerability metrics in cross‐diagnostic psychiatric research. Kochunov, P., Hong, L E., Dennis, E. L, Morey, R. A, Tate, D. F, Wilde, E. A, Logue, M., Kelly, S., Donohoe, G., Favre, P., Houenou, J., Ching, C. R K, Holleran, L., Andreassen, O. A, Van Velzen, L. S, Schmaal, L., Villalón‐Reina, J. E, Bearden, C. E, Piras, F., Spalletta, G., Van Den Heuvel, O. A, Veltman, D. J, Stein, D. J, Ryan, M. C, Tan, Y., Van Erp, T. G M, Turner, J. A, Haddad, L., Nir, T. M, Glahn, D. C, Thompson, P. M, & Jahanshad, N. Human Brain Mapping, 43(1):194–206, jan, 2022.
\ENIGMA\‐\DTI\: \Translating\ reproducible white matter deficits into personalized vulnerability metrics in cross‐diagnostic psychiatric research [link]Paper  doi  abstract   bibtex   
Abstract 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.
@article{kochunov_enigmadti_2022,
abstract = {Abstract
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.},
author = {Kochunov, Peter and Hong, L Elliot and Dennis, Emily L and Morey, Rajendra A and Tate, David F and Wilde, Elisabeth A and Logue, Mark and Kelly, Sinead and Donohoe, Gary and Favre, Pauline and Houenou, Josselin and Ching, Christopher R K and Holleran, Laurena and Andreassen, Ole A and {Van Velzen}, Laura S and Schmaal, Lianne and Villal{\'{o}}n‐Reina, Julio E and Bearden, Carrie E and Piras, Fabrizio and Spalletta, Gianfranco and {Van Den Heuvel}, Odile A and Veltman, Dick J and Stein, Dan J and Ryan, Meghann C and Tan, Yunlong and {Van Erp}, Theo G M and Turner, Jessica A and Haddad, Liz and Nir, Talia M and Glahn, David C and Thompson, Paul M and Jahanshad, Neda},
doi = {10.1002/hbm.24998},
file = {:Users/jacquelinebracher/Zotero/storage/UAQQ9MJG/Kochunov et al. - 2022 - ENIGMA‐DTI Translating reproducible white matter .pdf:pdf},
issn = {1065-9471, 1097-0193},
journal = {Human Brain Mapping},
month = {jan},
number = {1},
pages = {194--206},
shorttitle = {{\{}ENIGMA{\}}‐{\{}DTI{\}}},
title = {{{\{}ENIGMA{\}}‐{\{}DTI{\}}: {\{}Translating{\}} reproducible white matter deficits into personalized vulnerability metrics in cross‐diagnostic psychiatric research}},
url = {https://onlinelibrary.wiley.com/doi/10.1002/hbm.24998},
volume = {43},
year = {2022}
}
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