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Disruption of Anterior Insula Modulation of Large-Scale Brain Networks in Schizophrenia
Open accessAbstract
Background Systems level modeling of functional magnetic resonance imaging data has demonstrated dysfunction of several large-scale brain networks in schizophrenia. Anomalies across multiple functional networks associated with schizophrenia could be due to diffuse pathology across multiple networks or, alternatively, dysfunction at converging control(s) common to these networks. The right anterior insula has been shown to modulate activity in the central executive and default mode networks in healthy individuals. We tested the hypothesis that right anterior insula modulation of central executive and default mode networks is disrupted in schizophrenia and associated with cognitive deficits.Methods In 44 patients with schizophrenia and 44 healthy control subjects, we used seed-based resting state functional connectivity functional magnetic resonance imaging analysis to examine connectivity between right insular subregions and central executive/default mode network regions. We also performed two directed connectivity analyses of resting state data: Granger analysis and confirmatory structural equation modeling. Between-group differences in path coefficients were used to evaluate anterior insula modulation of central executive and default mode networks. Cognitive performance was assessed with the rapid visual information processing task, a test of sustained attention.Results With multiple connectivity techniques, we found compelling, corroborative evidence of disruption of right anterior insula modulation of central executive and default mode networks in patients with schizophrenia. The strength of right anterior insula modulation of these networks predicted cognitive performance.Conclusions Individuals with schizophrenia have impaired right anterior insula modulation of large-scale brain networks. The right anterior insula might be an emergent pathophysiological gateway in schizophrenia.
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“Psychosis and salience attribution deficits in schizophrenia are related to inter-network dysfunction between the SN, CEN and DMN (Palaniyappan et al., 2011, 2013; Moran et al., 2013; Lee et al., 2014; for a comprehensive review, see Nekovarova et al., 2014).”
From Cortico-striatal-thalamic loop circuits of the salience network: A central pathway in psychiatric disease and treatment (2016) · cites this paper as Moran et al., 2013
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Metadata
- Authors
- Moran, L. V., Tagamets, M. A., Sampath, H., O’Donnell, A., Stein, E. A., Kochunov, P., & Hong, L. E.
- Affiliations
- University of Maryland, Baltimore (US)
- National Institutes of Health (US)
- Corresponding author
- Moran, Lauren V.
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 74
- Issue
- 6
- Pages
- 467-474
- ISSN
- 0006-3223 (ISSN-L)
- PMC
- PMC3735654
- OpenAlex
- W2015335162
- Cited by
- 181
- References
- 61
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 13 · 2023: 11 · 2022: 17 · 2021: 11 · 2020: 14 · 2019: 16 · 2018: 20 · 2017: 21 · 2016: 15 · 2015: 20 · 2014: 10 · 2013: 4
- FWCI
- 8.92
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Drug Abuse
- National Institutes of Health (R21DA033817, T32MH067533, R01MH085646, R01DA027680)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Keywords
- schizophrenia, right anterior insula, large-scale brain networks, frontoparietal network, default mode network, resting-state functional connectivity, directed connectivity, Granger causality, cognitive impairment, sustained attention, rapid visual information processing
- MeSH terms
- Adult, Cerebral Cortex, Female, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Schizophrenia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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