TY  - JOUR
PY  - 2018//
TI  - Linked dimensions of psychopathology and connectivity in functional brain networks
JO  - Nature communications
A1  - Xia, Cedric Huchuan
A1  - Ma, Zongming
A1  - Ciric, Rastko
A1  - Gu, Shi
A1  - Betzel, Richard F.
A1  - Kaczkurkin, Antonia N.
A1  - Calkins, Monica E.
A1  - Cook, Philip A.
A1  - García de la Garza, Angel
A1  - Vandekar, Simon N.
A1  - Cui, Zaixu
A1  - Moore, Tyler M.
A1  - Roalf, David R.
A1  - Ruparel, Kosha
A1  - Wolf, Daniel H.
A1  - Davatzikos, Christos
A1  - Gur, Ruben C.
A1  - Gur, Raquel E.
A1  - Shinohara, Russell T.
A1  - Bassett, Danielle S.
A1  - Satterthwaite, Theodore D.
SP  - 3003
EP  - 3003
VL  - 9
IS  - 1
N2  - Neurobiological abnormalities associated with psychiatric disorders do not map well to existing diagnostic categories. High co-morbidity suggests dimensional circuit-level abnormalities that cross diagnoses. Here we seek to identify brain-based dimensions of psychopathology using sparse canonical correlation analysis in a sample of 663 youths. This analysis reveals correlated patterns of functional connectivity and psychiatric symptoms. We find that four dimensions of psychopathology - mood, psychosis, fear, and externalizing behavior - are associated (r = 0.68-0.71) with distinct patterns of connectivity. Loss of network segregation between the default mode network and executive networks emerges as a common feature across all dimensions. Connectivity linked to mood and psychosis becomes more prominent with development, and sex differences are present for connectivity related to mood and fear. Critically, findings largely replicate in an independent dataset (n = 336). These results delineate connectivity-guided dimensions of psychopathology that cross clinical diagnostic categories, which could serve as a foundation for developing network-based biomarkers in psychiatry.<p />  <p>Language: en</p>
LA  - en
SN  - 2041-1723
UR  - http://dx.doi.org/10.1038/s41467-018-05317-y
ID  - ref1
ER  -