Journal article

Risk and resilience brain networks in treatment-resistant schizophrenia

Eleni P Ganella, Caio Seguin, Cali F Bartholomeusz, Sarah Whittle, Chad Bousman, Cassandra MJ Wannan, Maria A Di Biase, Christina Phassouliotis, Ian Everall, Christos Pantelis, Andrew Zalesky

SCHIZOPHRENIA RESEARCH | ELSEVIER | Published : 2018

Abstract

BACKGROUND: Genes, molecules and neural circuits that are associated with, or confer risk to developing schizophrenia have been studied and mapped. It is hypothesized that certain neural systems may counterbalance familial risk of schizophrenia, and thus confer resilience to developing the disorder. This study sought to identify resting-state functional brain connectivity (rs-FC) representing putative risk or resilience endophenotypes in schizophrenia. METHODS: Resting-state functional magnetic resonance imaging (rs-fMRI) was performed in 42 individuals with treatment resistant schizophrenia (TRS), 16 unaffected first-degree family members (UFM) and 42 healthy controls. Whole-brain rs-FC net..

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Grants

Awarded by NHMRC


Awarded by Brain and Behavior Research Foundation (NARSAD) Young Investigator Award


Awarded by NHMRC Senior Principal Research Fellowship


Awarded by NHMRC Career Development Fellowship


Funding Acknowledgements

The authors acknowledge the financial support of the Cooperative Research Centre (CRC) for Mental Health which is an Australian Government Initiative. EG was supported by the University of Melbourne and CRC for Mental Health PhD top-up scholarship. CAB was supported by NHMRC Career Development Fellowship (1127700) and Brain and Behavior Research Foundation (NARSAD) Young Investigator Award (20526). CW was supported by a CRC for Mental Health PhD top-up scholarship. MAD was supported by an Australian Rotary Health, Ian Scott PhD Scholarship in Mental Health. CP was supported by NHMRC Senior Principal Research Fellowship (628386 & 1105825). A.Z. was supported by a NHMRC Career Development Fellowship (GNT1047648).