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Functional brain network dysfunctions in subjects at high-risk for psychosis: A meta-analysis of resting-state functional connectivity.
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift) |
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ID |
4634717 |
Author(s) |
Del Fabro, Lorenzo; Schmidt, André; Fortea, Lydia; Delvecchio, Giuseppe; D'Agostino, Armando; Radua, Joaquim; Borgwardt, Stefan; Brambilla, Paolo |
Author(s) at UniBasel |
Schmidt, André
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Year |
2021 |
Title |
Functional brain network dysfunctions in subjects at high-risk for psychosis: A meta-analysis of resting-state functional connectivity. |
Journal |
Neuroscience and biobehavioral reviews |
Volume |
128 |
Pages / Article-Number |
90-101 |
Keywords |
Clinical high risk; Functional connectivity; Large-scale networks; Meta-analysis; Psychosis; Salience network; fMRI |
Mesh terms |
Brain, diagnostic imaging; Brain Mapping; Humans; Magnetic Resonance Imaging; Nerve Net, diagnostic imaging; Neural Pathways, diagnostic imaging; Psychotic Disorders, diagnostic imaging; Schizophrenia, diagnostic imaging |
Abstract |
Although emerging evidence suggests that altered functional connectivity (FC) of large-scale neural networks is associated with disturbances in individuals at high-risk for psychosis, the findings are still far to be conclusive. We conducted a meta-analysis of seed-based resting-state functional magnetic resonance imaging studies that compared individuals at clinical high-risk for psychosis (CHR), first-degree relatives of patients with schizophrenia, or subjects who reported psychotic-like experiences with healthy controls. Twenty-nine studies met the inclusion criteria. The MetaNSUE method was used to analyze connectivity comparisons and symptom correlations. Our results showed a significant hypo-connectivity within the salience network (p = 0.012, uncorrected) in the sample of CHR individuals (n = 810). Additionally, we found a positive correlation between negative symptom severity and FC between the default mode network and both the salience network (p < 0.001, r = 0.298) and the central executive network (p = 0.003, r = 0.23) in the CHR group. This meta-analysis lends support for the hypothesis that large-scale network dysfunctions represent a core neural deficit underlying psychosis development. |
ISSN/ISBN |
1873-7528 |
Full Text on edoc |
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Digital Object Identifier DOI |
10.1016/j.neubiorev.2021.06.020 |
PubMed ID |
http://www.ncbi.nlm.nih.gov/pubmed/34119524 |
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28/04/2024
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