Journal article

Discrete Alterations of Brain Network Structural Covariance in Individuals at Ultra-High Risk for Psychosis

Kareen Heinze, Renate LEP Reniers, Barnaby Nelson, Alison R Yung, Ashleigh Lin, Ben J Harrison, Christos Pantelis, Dennis Velakoulis, Patrick D McGorry, Stephen J Wood

BIOLOGICAL PSYCHIATRY | ELSEVIER SCIENCE INC | Published : 2015

Abstract

BACKGROUND: Investigation of aberrant large-scale brain networks offers novel insight into the role these networks play in diverse psychiatric disorders such as schizophrenia. Although studies report altered functional brain connectivity in participants at ultra-high risk (UHR) for psychosis, it is unclear whether these alterations extend to structural brain networks. METHODS: Whole-brain structural covariance patterns of 133 participants at UHR for psychosis (51 of whom subsequently developed psychosis) and 65 healthy control (HC) subjects were studied. Following data preprocessing (using VBM8 toolbox), the mean signal in seed regions relating to specific networks (visual, auditory, motor, ..

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Grants

Awarded by National Health and Medical Research Council of Australia (NHMRC) Clinical Career Development Award Grant


Awarded by NHMRC Senior Principal Research Fellowship


Awarded by NHMRC Program


Awarded by NHMRC Career Development Fellowship


Awarded by NHMRC Senior Research Fellowship


Awarded by Medical Research Council


Funding Acknowledgements

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 investigator-initiated grant for some sample collection from Janssen Cilag (PDM, ARY).