@article{cde4c27893284ebdb5366831b4a897f2,
title = "Integrated metastate functional connectivity networks predict change in symptom severity in clinical high risk for psychosis",
abstract = "The ability to identify biomarkers of psychosis risk is essential in defining effective preventive measures to potentially circumvent the transition to psychosis. Using samples of people at clinical high risk for psychosis (CHR) and Healthy controls (HC) who were administered a task fMRI paradigm, we used a framework for labelling time windows of fMRI scans as {\textquoteleft}integrated{\textquoteright} FC networks to provide a granular representation of functional connectivity (FC). Periods of integration were defined using the {\textquoteleft}cartographic profile{\textquoteright} of time windows and k-means clustering, and sub-network discovery was carried out using Network Based Statistics (NBS). There were no network differences between CHR and HC groups. Within the CHR group, using integrated FC networks, we identified a sub-network negatively associated with longitudinal changes in the severity of psychotic symptoms. This sub-network comprised brain areas implicated in bottom-up sensory processing and in integration with motor control, suggesting it may be related to the demands of the fMRI task. These data suggest that extracting integrated FC networks may be useful in the investigation of biomarkers of psychosis risk.",
keywords = "cartographic profile, clinical high-risk for psychosis, network analysis, network based statistics, network integration, task fMRI",
author = "George Gifford and Nicolas Crossley and Sarah Morgan and Kempton, {Matthew J.} and Paola Dazzan and Gemma Modinos and Matilda Azis and Carly Samson and Ilaria Bonoldi and Beverly Quinn and Smart, {Sophie E.} and Mathilde Antoniades and Bossong, {Matthijs G.} and Broome, {Matthew R.} and Jesus Perez and Howes, {Oliver D.} and Stone, {James M.} and Paul Allen and Grace, {Anthony A.} and Philip McGuire and Sarah Morgan",
note = "Funding Information: Wellcome Trust and the Royal Society, Grant/Award Number: 202397/Z/16/Z; Department of Health; King's College Hospital NHS Foundation Trust; National Institute for Health Research; Wellcome Trust Programme, Grant/Award Number: 091667 Funding information Funding Information: This work was supported by a Wellcome Trust Programme Grant (grant number 091667, 2011). George Gifford is supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Heath Research and Care South London at King's College Hospital NHS Foundation Trust. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health. GM is supported by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (grant number 202397/Z/16/Z). We thank the study volunteers for their participation and the members of OASIS, CAMEO, West London Early Intervention Service, and Warwick & Coventry clinical teams for enabling this research. Funding Information: O. D. H. has received investigator‐initiated research funding from and/or participated in advisory/speaker meetings organised by Astra‐Zeneca, Autifony, BMS, Eli Lilly, Heptares, Jansenn, Lundbeck, Lyden‐Delta, Otsuka, Servier, Sunovion, Rand and Roche. AAG receives consulting fees from Johnson & Johnson, Lundbeck, Pfizer, Takeda, Alkermes, Otsuka, Lilly, Roche, Asubio. The other authors declare no competing financial interests. Publisher Copyright: {\textcopyright} 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = feb,
day = "1",
doi = "10.1002/hbm.25235",
language = "English",
volume = "42",
pages = "439--451",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley-Liss Inc.",
number = "2",
}