期刊
BIOLOGICAL PSYCHIATRY
卷 84, 期 6, 页码 452-459出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.biopsych.2018.03.012
关键词
Connectivity; fMRI; p factor; Psychopathology; Resting state; Transdiagnostic
资金
- National Institutes of Health [Q16 R01DA033369, R01DA031579, R01AG049789]
- Duke University
- National Science Foundation Graduate Research Fellowship [NSF DGE-1644868]
- Office of the Director, National Institutes of Health [S10 OD 021480]
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.
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