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Transdiagnostic neuroimaging markers of psychiatric risk: A narrative review

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NEUROIMAGE-CLINICAL
卷 30, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.nicl.2021.102634

关键词

General psychopathology; Transdiagnostic risk

资金

  1. Wellcome [095844/7/11/Z, 098362/Z/12/Z]

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Decades of neuroimaging research have revealed structural and functional neural abnormalities associated with various psychiatric disorders, with evidence showing substantial overlap in neural dysfunction patterns across disorders. Understanding the existence of shared neural mechanisms in psychopathology is crucial for psychiatric research and early identification of individuals vulnerable to psychiatric disorders.
Several decades of neuroimaging research in psychiatry have shed light on structural and functional neural abnormalities associated with individual psychiatric disorders. However, there is increasing evidence for substantial overlap in the patterns of neural dysfunction seen across disorders, suggesting that risk for psychiatric illness may be shared across diagnostic boundaries. Gaining insights on the existence of shared neural mechanisms which may transdiagnostically underlie psychopathology is important for psychiatric research in order to tease apart the unique and common aspects of different disorders, but also clinically, so as to help identify individuals early on who may be biologically vulnerable to psychiatric disorder in general. In this narrative review, we first evaluate recent studies investigating the functional and structural neural correlates of a general psychopathology factor, which is thought to reflect the shared variance across common mental health symptoms and therefore index psychiatric vulnerability. We then link insights from this research to existing meta-analytic evidence for shared patterns of neural dysfunction across categorical psychiatric disorders. We conclude by providing an integrative account of vulnerability to mental illness, whereby delayed or disrupted maturation of large-scale networks (particularly default-mode, executive, and sensorimotor networks), and more generally between-network connectivity, results in a compromised ability to integrate and switch between internally and externally focused tasks.

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