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Disrupted salience network functional connectivity and white-matter microstructure in persons at risk for psychosis: findings from the LYRIKS study.

Publication ,  Journal Article
Wang, C; Ji, F; Hong, Z; Poh, JS; Krishnan, R; Lee, J; Rekhi, G; Keefe, RSE; Adcock, RA; Wood, SJ; Fornito, A; Pasternak, O; Chee, MWL; Zhou, J
Published in: Psychol Med
October 2016

BACKGROUND: Salience network (SN) dysconnectivity has been hypothesized to contribute to schizophrenia. Nevertheless, little is known about the functional and structural dysconnectivity of SN in subjects at risk for psychosis. We hypothesized that SN functional and structural connectivity would be disrupted in subjects with At-Risk Mental State (ARMS) and would be associated with symptom severity and disease progression. METHOD: We examined 87 ARMS and 37 healthy participants using both resting-state functional magnetic resonance imaging and diffusion tensor imaging. Group differences in SN functional and structural connectivity were examined using a seed-based approach and tract-based spatial statistics. Subject-level functional connectivity measures and diffusion indices of disrupted regions were correlated with CAARMS scores and compared between ARMS with and without transition to psychosis. RESULTS: ARMS subjects exhibited reduced functional connectivity between the left ventral anterior insula and other SN regions. Reduced fractional anisotropy (FA) and axial diffusivity were also found along white-matter tracts in close proximity to regions of disrupted functional connectivity, including frontal-striatal-thalamic circuits and the cingulum. FA measures extracted from these disrupted white-matter regions correlated with individual symptom severity in the ARMS group. Furthermore, functional connectivity between the bilateral insula and FA at the forceps minor were further reduced in subjects who transitioned to psychosis after 2 years. CONCLUSIONS: Our findings support the insular dysconnectivity of the proximal SN hypothesis in the early stages of psychosis. Further developed, the combined structural and functional SN assays may inform the prognosis of persons at-risk for psychosis.

Duke Scholars

Published In

Psychol Med

DOI

EISSN

1469-8978

Publication Date

October 2016

Volume

46

Issue

13

Start / End Page

2771 / 2783

Location

England

Related Subject Headings

  • Young Adult
  • White Matter
  • Risk
  • Psychotic Disorders
  • Psychiatry
  • Male
  • Magnetic Resonance Imaging
  • Humans
  • Female
  • Diffusion Tensor Imaging
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Wang, C., Ji, F., Hong, Z., Poh, J. S., Krishnan, R., Lee, J., … Zhou, J. (2016). Disrupted salience network functional connectivity and white-matter microstructure in persons at risk for psychosis: findings from the LYRIKS study. Psychol Med, 46(13), 2771–2783. https://doi.org/10.1017/S0033291716001410
Wang, C., F. Ji, Z. Hong, J. S. Poh, R. Krishnan, J. Lee, G. Rekhi, et al. “Disrupted salience network functional connectivity and white-matter microstructure in persons at risk for psychosis: findings from the LYRIKS study.Psychol Med 46, no. 13 (October 2016): 2771–83. https://doi.org/10.1017/S0033291716001410.
Wang, C., et al. “Disrupted salience network functional connectivity and white-matter microstructure in persons at risk for psychosis: findings from the LYRIKS study.Psychol Med, vol. 46, no. 13, Oct. 2016, pp. 2771–83. Pubmed, doi:10.1017/S0033291716001410.
Wang C, Ji F, Hong Z, Poh JS, Krishnan R, Lee J, Rekhi G, Keefe RSE, Adcock RA, Wood SJ, Fornito A, Pasternak O, Chee MWL, Zhou J. Disrupted salience network functional connectivity and white-matter microstructure in persons at risk for psychosis: findings from the LYRIKS study. Psychol Med. 2016 Oct;46(13):2771–2783.
Journal cover image

Published In

Psychol Med

DOI

EISSN

1469-8978

Publication Date

October 2016

Volume

46

Issue

13

Start / End Page

2771 / 2783

Location

England

Related Subject Headings

  • Young Adult
  • White Matter
  • Risk
  • Psychotic Disorders
  • Psychiatry
  • Male
  • Magnetic Resonance Imaging
  • Humans
  • Female
  • Diffusion Tensor Imaging