Journal article

Comparison of regional brain deficit patterns in common psychiatric and neurological disorders as revealed by big data

Peter Kochunov, Meghann C Ryan, Qifan Yang, Kathryn S Hatch, Alyssa Zhu, Sophia Thomopoulos, Neda Jahanshad, Lianne Schmaal, Paul M Thompson, Shuo Chen, Xiaoming Du, Bhim M Adhikari, Heather Bruce, Stephanie Hare, Eric L Goldwaser, Mark D Kvarta, Thomas E Nichols, L Elliot Hong



Neurological and psychiatric illnesses are associated with regional brain deficit patterns that bear unique signatures and capture illness-specific characteristics. The Regional Vulnerability Index (RVI) was developed toquantify brain similarity by comparing individual white matter microstructure, cortical gray matter thickness and subcortical gray matter structural volume measures with neuroanatomical deficit patterns derived from large-scale meta-analytic studies. We tested the specificity of the RVI approach for major depressive disorder (MDD) and Alzheimer's disease (AD) in a large epidemiological sample of UK Biobank (UKBB) participants (N = 19,393; 9138 M/10,255F; age = 64.8 ± 7.4 year..

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Awarded by National Institutes of Health

Awarded by NHMRC Career Development Fellowship

Funding Acknowledgements

This work was supported by the National Institutes of Health grants R01MH112180, R01MH116948, S10OD023696, R01EB015611, R01MH117601, R01AG095874, and U01MH108148. These funding sources provided financial support to enable design and conduct of the study or collection, management, or analysis of the data. LS is supported by a NHMRC Career Development Fellowship (1140764) and a University of Melbourne Dame Kate Campbell fellowship. None of the funding agencies had a role in the interpretation of the data. None had a role in the preparation, review, or approval of the manuscript. None had a role in the decision to submit the manuscript for publication.