Journal
SCHIZOPHRENIA RESEARCH
Volume 226, Issue -, Pages 30-37Publisher
ELSEVIER
DOI: 10.1016/j.schres.2019.01.017
Keywords
Psychosis; Clinical high risk; Brain network; Resting state; Graph theory
Categories
Funding
- Brain and Behavior Research Foundation
- NARSAD Young Investigator Grant [27068]
- National Institutes of Health (NIH) [U01 MH081902, P50 MH066286, U01 MH081857, U01 MH82022, U01 MH066134, U01 MH081944, R01 U01 MH066069, R01 MH076989, U01 MH081928, U01 MH081988]
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Mounting evidence has shown disrupted brain network architecture across the psychosis spectrum. However, whether these changes relate to the development of psychosis is unclear. Here, we used graph theoretical analysis to investigate longitudinal changes in resting-state brain networks in samples of 72 subjects at clinical high risk (including 8 cases who converted to full psychosis) and 48 healthy controls drawn from the North American Prodrome Longitudinal Study (NAPLS) consortium. We observed progressive reduction in global efficiency (P = 0.006) and increase in network diversity (P = 0.001) in converters compared with non-converters and controls. More refined analysis separating nodes into nine key brain networks demonstrated that these alterations were primarily driven by progressively diminished local efficiency in the default-mode network (P = 0.004) and progressively enhanced node diversity across all networks (P < 0.05). The change rates of network efficiency and network diversity were significantly correlated (P = 0.003), suggesting these changes may reflect shared neural mechanisms. In addition, change rates of global efficiency and node diversity were significantly correlated with change rate of cortical thinning in the prefrontal cortex in converters (P < 0.03) and could be predicted by visuospatial memory scores at baseline (P < 0.04). These results provide preliminary evidence for longitudinal reconfiguration of resting-state brain networks during psychosis development and suggest that decreased network efficiency, reflecting an increase in path length between nodes, and increased network diversity, reflecting a decrease in the consistency of functional network organization, may be implicated in the progression to full psychosis. (C) 2019 Elsevier B.V. All rights reserved.
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