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A Connectome-wide Functional Signature of Transdiagnostic Risk for Mental Illness.


ABSTRACT: BACKGROUND:High rates of comorbidity, shared risk, and overlapping therapeutic mechanisms have led psychopathology research toward transdiagnostic dimensional investigations of clustered symptoms. One influential framework accounts for these transdiagnostic phenomena through a single general factor, sometimes referred to as the p factor, associated with risk for all common forms of mental illness. METHODS:We build on previous research identifying unique structural neural correlates of the p factor by conducting a data-driven analysis of connectome-wide intrinsic functional connectivity (n = 605). RESULTS:We demonstrate that higher p factor scores and associated risk for common mental illness maps onto hyperconnectivity between visual association cortex and both frontoparietal and default mode networks. CONCLUSIONS:These results provide initial evidence that the transdiagnostic risk for common forms of mental illness is associated with patterns of inefficient connectome-wide intrinsic connectivity between visual association cortex and networks supporting executive control and self-referential processes, networks that are often impaired across categorical disorders.

SUBMITTER: Elliott ML 

PROVIDER: S-EPMC6119080 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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A Connectome-wide Functional Signature of Transdiagnostic Risk for Mental Illness.

Elliott Maxwell L ML   Romer Adrienne A   Knodt Annchen R AR   Hariri Ahmad R AR  

Biological psychiatry 20180410 6


<h4>Background</h4>High rates of comorbidity, shared risk, and overlapping therapeutic mechanisms have led psychopathology research toward transdiagnostic dimensional investigations of clustered symptoms. One influential framework accounts for these transdiagnostic phenomena through a single general factor, sometimes referred to as the p factor, associated with risk for all common forms of mental illness.<h4>Methods</h4>We build on previous research identifying unique structural neural correlate  ...[more]

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