Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/115602
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Resting-state functional brain networks in first-episode psychosis: A 12-month follow-up study |
Author: | Ganella, E. Seguin, C. Pantelis, C. Whittle, S. Baune, B. Olver, J. Amminger, G. McGorry, P. Cropley, V. Zalesky, A. Bartholomeusz, C. |
Citation: | Australian and New Zealand Journal of Psychiatry, 2018; 52(9):864-875 |
Publisher: | SAGE Publications |
Issue Date: | 2018 |
ISSN: | 0004-8674 1440-1614 |
Statement of Responsibility: | Eleni P Ganella, Caio Seguin, Christos Pantelis, Sarah Whittle, Bernhard T Baune, James Olver, G Paul Amminger, Patrick D McGorry, Vanessa Cropley, Andrew Zalesky and Cali F Bartholomeusz |
Abstract: | Introduction: Schizophrenia is increasingly conceived as a disorder of brain network connectivity and organization. However, reports of network abnormalities during the early illness stage of psychosis are mixed. This study adopted a data-driven whole-brain approach to investigate functional connectivity and network architecture in a first-episode psychosis cohort relative to healthy controls and whether functional network properties changed abnormally over a 12-month period in first-episode psychosis. Methods: Resting-state functional connectivity was performed at two time points. At baseline, 29 first-episode psychosis individuals and 30 healthy controls were assessed, and at 12 months, 14 first-episode psychosis individuals and 20 healthy controls completed follow-up. Whole-brain resting-state functional connectivity networks were mapped for each individual and analyzed using graph theory to investigate whether network abnormalities associated with first-episode psychosis were evident and whether functional network properties changed abnormally over 12 months relative to controls. Results: This study found no evidence of abnormal resting-state functional connectivity or topology in first-episode psychosis individuals relative to healthy controls at baseline or at 12-months follow-up. Furthermore, longitudinal changes in network properties over a 12-month period did not significantly differ between first-episode psychosis individuals and healthy control. Network measures did not significantly correlate with symptomatology, duration of illness or antipsychotic medication. Conclusions: This is the first study to show unaffected resting-state functional connectivity and topology in the early psychosis stage of illness. In light of previous literature, this suggests that a subgroup of first-episode psychosis individuals who have a neurotypical resting-state functional connectivity and topology may exist. Our preliminary longitudinal analyses indicate that there also does not appear to be deterioration in these network properties over a 12-month period. Future research in a larger sample is necessary to confirm our longitudinal findings. |
Keywords: | Resting state first episode of psychosis functional connectivity graph theory |
Rights: | © The Royal Australian and New Zealand College of Psychiatrists 2018 |
DOI: | 10.1177/0004867418775833 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/628386 http://purl.org/au-research/grants/nhmrc/1105825 http://purl.org/au-research/grants/nhmrc/1047648 http://purl.org/au-research/grants/nhmrc/1007716 |
Published version: | http://dx.doi.org/10.1177/0004867418775833 |
Appears in Collections: | Aurora harvest 8 Psychiatry publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.