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Large-Scale Network Topology Reveals Heterogeneity in Individuals With at Risk Mental State for Psychosis: Findings From the Longitudinal Youth-at-Risk Study.

Publication ,  Journal Article
Wang, C; Lee, J; Ho, NF; Lim, JKW; Poh, JS; Rekhi, G; Krishnan, R; Keefe, RSE; Adcock, RA; Wood, SJ; Fornito, A; Chee, MWL; Zhou, J
Published in: Cereb Cortex
December 1, 2018

Emerging evidence demonstrates heterogeneity in clinical outcomes of prodromal psychosis that only a small percentage of at-risk individuals eventually progress to full-blown psychosis. To examine the neurobiological underpinnings of this heterogeneity from a network perspective, we tested whether the early patterns of large-scale brain network topology were associated with risk of developing clinical psychosis. Task-free functional MRI data were acquired from subjects with At Risk Mental State (ARMS) for psychosis and healthy controls (HC). All individuals had no history of drug abuse and were not on antipsychotics. We performed functional connectomics analysis to identify patterns of system-level functional brain dysconnectivity associated with ARMS individuals with different outcomes. In comparison to HC and ARMS who did not transition to psychosis at follow-up (ARMS-NT), ARMS individuals who did (ARMS-T) showed marked brain functional dysconnectivity, characterized by loss of network segregation and disruption of network communities, especially the salience, default, dorsal attention, sensorimotor and limbic networks (P < 0.05 FWE-corrected, Cohen's d > 1.00), and was associated with baseline symptom severity. In contrast, we did not observe connectivity differences between ARMS-NT and HC individuals. Taken together, these results suggest a possible large-scale functional brain network topology phenotype related to risk of psychosis transition in ARMS individuals.

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Published In

Cereb Cortex

DOI

EISSN

1460-2199

Publication Date

December 1, 2018

Volume

28

Issue

12

Start / End Page

4234 / 4243

Location

United States

Related Subject Headings

  • Young Adult
  • Severity of Illness Index
  • Risk Factors
  • Psychotic Disorders
  • Prodromal Symptoms
  • Neural Pathways
  • Male
  • Magnetic Resonance Imaging
  • Longitudinal Studies
  • Humans
 

Citation

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ICMJE
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Wang, C., Lee, J., Ho, N. F., Lim, J. K. W., Poh, J. S., Rekhi, G., … Zhou, J. (2018). Large-Scale Network Topology Reveals Heterogeneity in Individuals With at Risk Mental State for Psychosis: Findings From the Longitudinal Youth-at-Risk Study. Cereb Cortex, 28(12), 4234–4243. https://doi.org/10.1093/cercor/bhx278
Wang, Chenhao, Jimmy Lee, New Fei Ho, Joseph K. W. Lim, Joann S. Poh, Gurpreet Rekhi, Ranga Krishnan, et al. “Large-Scale Network Topology Reveals Heterogeneity in Individuals With at Risk Mental State for Psychosis: Findings From the Longitudinal Youth-at-Risk Study.Cereb Cortex 28, no. 12 (December 1, 2018): 4234–43. https://doi.org/10.1093/cercor/bhx278.
Wang, Chenhao, et al. “Large-Scale Network Topology Reveals Heterogeneity in Individuals With at Risk Mental State for Psychosis: Findings From the Longitudinal Youth-at-Risk Study.Cereb Cortex, vol. 28, no. 12, Dec. 2018, pp. 4234–43. Pubmed, doi:10.1093/cercor/bhx278.
Wang C, Lee J, Ho NF, Lim JKW, Poh JS, Rekhi G, Krishnan R, Keefe RSE, Adcock RA, Wood SJ, Fornito A, Chee MWL, Zhou J. Large-Scale Network Topology Reveals Heterogeneity in Individuals With at Risk Mental State for Psychosis: Findings From the Longitudinal Youth-at-Risk Study. Cereb Cortex. 2018 Dec 1;28(12):4234–4243.
Journal cover image

Published In

Cereb Cortex

DOI

EISSN

1460-2199

Publication Date

December 1, 2018

Volume

28

Issue

12

Start / End Page

4234 / 4243

Location

United States

Related Subject Headings

  • Young Adult
  • Severity of Illness Index
  • Risk Factors
  • Psychotic Disorders
  • Prodromal Symptoms
  • Neural Pathways
  • Male
  • Magnetic Resonance Imaging
  • Longitudinal Studies
  • Humans