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

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • 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 Date

  • October 2016

Published In

Volume / Issue

  • 46 / 13

Start / End Page

  • 2771 - 2783

PubMed ID

  • 27396386

Pubmed Central ID

  • 27396386

Electronic International Standard Serial Number (EISSN)

  • 1469-8978

International Standard Serial Number (ISSN)

  • 0033-2917

Digital Object Identifier (DOI)

  • 10.1017/S0033291716001410

Language

  • eng