Abstract
Psychiatric disorders share neurobiology and frequently co-occur. This neurobiological and clinical overlap highlights opportunities for transdiagnostic treatments. In this study, we used coordinate and lesion network mapping to test for a shared brain network across psychiatric disorders. In our meta-analysis of 193 studies, atrophy coordinates across six psychiatric disorders mapped to a common brain network defined by positive connectivity to anterior cingulate and insula, and by negative connectivity to posterior parietal and lateral occipital cortex. This network was robust to leave-one-diagnosis-out cross-validation and specific to atrophy coordinates from psychiatric versus neurodegenerative disorders (72 studies). In 194 patients with penetrating head trauma, lesion damage to this network correlated with the number of post-lesion psychiatric diagnoses. Neurosurgical ablation targets for psychiatric illness (four targets) also aligned with the network. This convergent brain network for psychiatric illness may partially explain high rates of psychiatric comorbidity and could highlight neuromodulation targets for patients with more than one psychiatric disorder.
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Data availability
This paper used de-identified data from multiple datasets collected by different investigators at different institutions. Datasets 1 (https://doi.org/10.1001/jamapsychiatry.2014.2206), 2 (https://doi.org/10.1093/brain/awy292) and 4 (https://doi.org/10.1038/npp.2010.132) are publicly available peer-reviewed publications. Inquiries regarding the Vietnam Head Injury Study (Dataset 3) can be directed to J.G. (jgrafman@northwestern.edu). The one-sample t-test transdiagnostic network is available at https://github.com/nimlab/NHB_Taylor2023.
Code availability
GingerALE is publicly available. The custom MATLAB and Python code used in this study is available at https://github.com/nimlab/NHB_Taylor2023.
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Acknowledgements
We acknowledge the authors of Schoene-Bake et al.46, who provided us with simulated lesions from their work. We also thank W. Drew and J. Li for their technical support and P. Flynn for his administrative support. The authors received no specific funding for this work. J.J.T.: Harvard Medical School (Dupont Warren Fellowship Award and Livingston Award), Brain and Behavior Research Foundation Young Investigator Grant (no. 31081), Sidney R. Baer, Jr. Foundation, Baszucki Brain Research Fund, and the NIH (grant nos K23MH129829 and R01MH113929). C.L.: none. D.T.: NIMH T32 fellowship (no. T32MH020004) and Harvard Medical School (Dupont Warren Fellowship Award). M.A.F.: none. F.L.W.V.J.S.: Epilepsy Society (grant no. 846534). J.J.: Brain and Behavior Research Foundation Young Investigator Grant (no. 29441). M.G.: none. J.G.: none. A.E.: none. S.H.S.: NIH (grant nos K23MH121657 and R21MH126271), Brain and Behavior Research Foundation Young Investigator Grant, Neuronetics investigator-initiated grant, Baszucki Brain Research Fund, and Department of Veterans Affairs (grant no. I01CX002293). M.D.F.: the Nancy Lurie Marks Foundation, the Kaye Family Research Endowment, Baszucki Brain Research Fund and the NIH (grant nos R01MH113929, R21MH126271, R56AG069086, R01MH115949 and R01AG060987).
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Conception and design of the study: J.J.T., D.T., S.H.S. and M.D.F. Design of the analytical procedures: J.J.T., F.L.W.V.J.S., M.A.F., S.H.S. and M.D.F. Preprocessing and preparation of the data for the analyses: J.J.T., C.L., D.T., M.A.F., F.L.W.V.J.S., J.J., M.G., J.G., A.E., S.H.S. and M.D.F. Neuroimaging analyses and statistical analyses: J.J.T., C.L., M.A.F., F.L.W.V.J.S., J.J., S.H.S. and M.D.F. Contribution of the data: M.G., J.G., A.E., S.H.S. and M.D.F. Interpretation of the analyses and writing of the manuscript: J.J.T., S.H.S. and M.D.F., with input from all authors.
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J.J.T.: none. C.L.: none. D.T.: none. M.A.F.: none. F.L.W.V.J.S.: none. J.J.: none. M.G.: none. J.G.: none. A.E.: salary and equity from Alto Neuroscience, and equity from Mindstrong Health and Akili Interactive. S.H.S.: owner of intellectual property involving the use of brain connectivity to target TMS, scientific consultant for Magnus Medical, investigator-initiated research funding from Neuronetics and Brainsway, speaking fees from Brainsway and Otsuka (for PsychU.org), shareholder in Brainsway (publicly traded) and Magnus Medical (not publicly traded). None of these entities were directly involved in the present work. M.D.F.: scientific consultant for Magnus Medical, owner of independent intellectual property involving the use of functional connectivity to target TMS. This intellectual property was not used in the present manuscript.
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Taylor, J.J., Lin, C., Talmasov, D. et al. A transdiagnostic network for psychiatric illness derived from atrophy and lesions. Nat Hum Behav 7, 420–429 (2023). https://doi.org/10.1038/s41562-022-01501-9
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DOI: https://doi.org/10.1038/s41562-022-01501-9
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