Linked dimensions of psychopathology and connectivity in functional brain networks

Cedric Huchuan Xia; Zongming Ma; Rastko Ciric; Shi Gu; Richard F. Betzel; Antonia N. Kaczkurkin; Monica E. Calkins; Philip A. Cook; Angel García de la Garza; Simon N. Vandekar; Zaixu Cui; Tyler M. Moore; David R. Roalf; Kosha Ruparel; Daniel H. Wolf; Christos Davatzikos; Ruben C. Gur; Raquel E. Gur; Russell T. Shinohara; Danielle S. Bassett; Theodore D. Satterthwaite

doi:10.1038/s41467-018-05317-y

Linked dimensions of psychopathology and connectivity in functional brain networks

Cedric Huchuan Xia, Zongming Ma, Rastko Ciric, Shi Gu, Richard F. Betzel, Antonia N. Kaczkurkin, Monica E. Calkins, Philip A. Cook, Angel García de la Garza, Simon N. Vandekar, Zaixu Cui, Tyler M. Moore, David R. Roalf, Kosha Ruparel, Daniel H. Wolf, Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, Russell T. Shinohara, Danielle S. BassettTheodore D. Satterthwaite

Research output: Contribution to journal › Article › peer-review

253 Scopus citations

Abstract

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.

Original language	English (US)
Article number	3003
Journal	Nature communications
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41467-018-05317-y
State	Published - Dec 1 2018
Externally published	Yes

ASJC Scopus subject areas

General Chemistry
General Biochemistry, Genetics and Molecular Biology
General Physics and Astronomy

Access to Document

10.1038/s41467-018-05317-y

Cite this

Xia, C. H., Ma, Z., Ciric, R., Gu, S., Betzel, R. F., Kaczkurkin, A. N., Calkins, M. E., Cook, P. A., García de la Garza, A., Vandekar, S. N., Cui, Z., Moore, T. M., Roalf, D. R., Ruparel, K., Wolf, D. H., Davatzikos, C., Gur, R. C., Gur, R. E., Shinohara, R. T., ... Satterthwaite, T. D. (2018). Linked dimensions of psychopathology and connectivity in functional brain networks. Nature communications, 9(1), Article 3003. https://doi.org/10.1038/s41467-018-05317-y

Xia, CH, Ma, Z, Ciric, R, Gu, S, Betzel, RF, Kaczkurkin, AN, Calkins, ME, Cook, PA, García de la Garza, A, Vandekar, SN, Cui, Z, Moore, TM, Roalf, DR, Ruparel, K, Wolf, DH, Davatzikos, C, Gur, RC, Gur, RE, Shinohara, RT, Bassett, DS & Satterthwaite, TD 2018, 'Linked dimensions of psychopathology and connectivity in functional brain networks', Nature communications, vol. 9, no. 1, 3003. https://doi.org/10.1038/s41467-018-05317-y

@article{4154733d78af4aeca4b820c849006f94,

title = "Linked dimensions of psychopathology and connectivity in functional brain networks",

abstract = "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.",

author = "Xia, {Cedric Huchuan} and Zongming Ma and Rastko Ciric and Shi Gu and Betzel, {Richard F.} and Kaczkurkin, {Antonia N.} and Calkins, {Monica E.} and Cook, {Philip A.} and {Garc{\'i}a de la Garza}, Angel and Vandekar, {Simon N.} and Zaixu Cui and Moore, {Tyler M.} and Roalf, {David R.} and Kosha Ruparel and Wolf, {Daniel H.} and Christos Davatzikos and Gur, {Ruben C.} and Gur, {Raquel E.} and Shinohara, {Russell T.} and Bassett, {Danielle S.} and Satterthwaite, {Theodore D.}",

note = "Publisher Copyright: {\textcopyright} 2018, The Author(s).",

year = "2018",

month = dec,

day = "1",

doi = "10.1038/s41467-018-05317-y",

language = "English (US)",

volume = "9",

journal = "Nature communications",

issn = "2041-1723",

publisher = "Nature Publishing Group",

number = "1",

}

TY - JOUR

T1 - Linked dimensions of psychopathology and connectivity in functional brain networks

AU - Xia, Cedric Huchuan

AU - Ma, Zongming

AU - Ciric, Rastko

AU - Gu, Shi

AU - Betzel, Richard F.

AU - Kaczkurkin, Antonia N.

AU - Calkins, Monica E.

AU - Cook, Philip A.

AU - García de la Garza, Angel

AU - Vandekar, Simon N.

AU - Cui, Zaixu

AU - Moore, Tyler M.

AU - Roalf, David R.

AU - Ruparel, Kosha

AU - Wolf, Daniel H.

AU - Davatzikos, Christos

AU - Gur, Ruben C.

AU - Gur, Raquel E.

AU - Shinohara, Russell T.

AU - Bassett, Danielle S.

AU - Satterthwaite, Theodore D.

PY - 2018/12/1

Y1 - 2018/12/1

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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85050970174&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050970174&partnerID=8YFLogxK

U2 - 10.1038/s41467-018-05317-y

DO - 10.1038/s41467-018-05317-y

M3 - Article

C2 - 30068943

AN - SCOPUS:85050970174

SN - 2041-1723

VL - 9

JO - Nature communications

JF - Nature communications

IS - 1

M1 - 3003

ER -

Linked dimensions of psychopathology and connectivity in functional brain networks

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this