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Neuroimage. 2018 Oct 15;180(Pt B):632-645. doi: 10.1016/j.neuroimage.2017.10.022. Epub 2017 Oct 14.

Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis.

Author information

1
The Mind Research Network, Albuquerque, NM, USA; School of Computer & Information Technology, Shanxi University, Taiyuan, China. Electronic address: ydu@mrn.org.
2
Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA; The Mental Health Service, San Francisco VA Healthcare System, San Francisco, CA, USA.
3
The Mind Research Network, Albuquerque, NM, USA.
4
The Mind Research Network, Albuquerque, NM, USA; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
5
The Mind Research Network, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA.
6
Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA.

Abstract

Individuals at clinical high-risk (CHR) for psychosis are characterized by attenuated psychotic symptoms. Only a minority of CHR individuals convert to full-blown psychosis. Therefore, there is a strong interest in identifying neurobiological abnormalities underlying the psychosis risk syndrome. Dynamic functional connectivity (DFC) captures time-varying connectivity over short time scales, and has the potential to reveal complex brain functional organization. Based on resting-state functional magnetic resonance imaging (fMRI) data from 70 healthy controls (HCs), 53 CHR individuals, and 58 early illness schizophrenia (ESZ) patients, we applied a novel group information guided ICA (GIG-ICA) to estimate inherent connectivity states from DFC, and then investigated group differences. We found that ESZ patients showed more aberrant connectivities and greater alterations than CHR individuals. Results also suggested that disease-related connectivity states occurred in CHR and ESZ groups. Regarding the dominant state with the highest contribution to dynamic connectivity, ESZ patients exhibited greater impairments than CHR individuals primarily in the cerebellum, frontal cortex, thalamus and temporal cortex, while CHR and ESZ populations shared common aberrances mainly in the supplementary motor area, parahippocampal gyrus and postcentral cortex. CHR-specific changes were also found in the connections between the superior frontal gyrus and calcarine cortex in the dominant state. Our findings suggest that CHR individuals generally show an intermediate functional connectivity pattern between HCs and SZ patients but also have unique connectivity alterations.

KEYWORDS:

Clinical high-risk; Connectivity state; Dynamic functional connectivity; ICA; Schizophrenia; fMRI

PMID:
29038030
PMCID:
PMC5899692
[Available on 2019-10-15]
DOI:
10.1016/j.neuroimage.2017.10.022
[Indexed for MEDLINE]

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