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Biol Psychiatry. 2018 Sep 15;84(6):452-459. doi: 10.1016/j.biopsych.2018.03.012. Epub 2018 Apr 10.

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

Author information

1
Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, North Carolina. Electronic address: maxwell.elliott@duke.edu.
2
Laboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, North Carolina.

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.

KEYWORDS:

Connectivity; Psychopathology; Resting state; Transdiagnostic; fMRI; p factor

PMID:
29779670
PMCID:
PMC6119080
[Available on 2019-09-15]
DOI:
10.1016/j.biopsych.2018.03.012

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