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Large-Scale Neuroimaging of Mental Illness

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Current Topics in Behavioral Neurosciences

Abstract

Neuroimaging has provided important insights into the brain variations related to mental illness. Inconsistencies in prior studies, however, call for methods that lead to more replicable and generalizable brain markers that can reliably predict illness severity, treatment course, and prognosis. A paradigm shift is underway with large-scale international research teams actively pooling data and resources to drive consensus findings and test emerging methods aimed at achieving the goals of precision psychiatry. In parallel with large-scale psychiatric genomics studies, international consortia combining neuroimaging data are mapping the transdiagnostic brain signatures of mental illness on an unprecedented scale. This chapter discusses the major challenges, recent findings, and a roadmap for developing better neuroimaging-based tools and markers for mental illness.

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Acknowledgments

We would like to thank the thousands of study participants and their families, the many scientists and colleagues from around the world collaborating in large-scale team science initiatives, and the entire team at the Imaging Genetics Center, part of the Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC.

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  1. Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA

    Christopher R. K. Ching, Melody J. Y. Kang & Paul M. Thompson

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  1. Christopher R. K. Ching
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  2. Melody J. Y. Kang
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  3. Paul M. Thompson
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Ching, C.R.K., Kang, M.J.Y., Thompson, P.M. (2024). Large-Scale Neuroimaging of Mental Illness. In: Current Topics in Behavioral Neurosciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/7854_2024_462

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