Archival ReportDiscrete Alterations of Brain Network Structural Covariance in Individuals at Ultra-High Risk for Psychosis
Section snippets
Participants
All participants gave written informed consent, and this study was approved by the local research and ethics committee. Participants at UHR for psychosis (n = 133) were recruited through the Personal Assessment and Crisis Evaluation Clinic, Orygen Youth Health, Melbourne, Australia (36). The Comprehensive Assessment of At-Risk Mental States (CAARMS) was used to define UHR criteria (37): 1) attenuated psychotic symptoms (APS), 2) brief limited intermittent psychotic symptoms (BLIPS), and 3)
Demographics
The UHR and HC participants differed significantly in their mean age with HC participants (mean age ± SD, 22.1 ± 3.9 years; range, 13.9–29.1) being older than UHR participants (mean age ± SD, 20.2 ± 3.6 years; range, 16.2–30.3) [t196 = −3.38, p = .001] (Table S2 in Supplement 1), whereas there was no significant difference in mean age between UHR-P and UHR-NP participants (p = .159) (Table 1). Both comparisons did not reveal any differences in gender distribution (UHR participants, 77 male/56
Discussion
This study characterized whole-brain structural covariance patterns of eight large-scale networks in a sample of participants at clinical high risk for psychosis compared with healthy individuals. Seed-based statistical parametric structural covariance mapping for the DMN, SN, ECN, visual network, auditory network, motor network, speech network, and semantic network for both UHR and HC participants revealed structural covariance between brain areas that represent large-scale functional networks
Acknowledgments and Disclosures
This work was supported by a National Health and Medical Research Council of Australia (NHMRC) Clinical Career Development Award Grant No. 628509 (BJH); NHMRC Senior Principal Research Fellowship Grant No. 628386 (CP), National Alliance for Research on Schizophrenia and Depression Distinguished Investigator Award (CP), NHMRC Program Grant Nos. 350241 and 566529, NHMRC Career Development Fellowship Grant No. 1027532 (BN), NHMRC Senior Research Fellowship Grant No. 566593 (ARY), and an
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