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Altered brain functional dynamics in auditory and visual networks in schizophrenia

INTRODUCTION: One of the most perplexing and characteristic symptoms of the schizophrenia (SZ) patients is hallucination. The occurrence of hallucinations to be associated with altered activity in the auditory and visual cortex but is not well understood from the brain functional network dynamics in...

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Autores principales: You, W.F., Luo, L., Li, F., Gong, Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471729/
http://dx.doi.org/10.1192/j.eurpsy.2021.428
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author You, W.F.
Luo, L.
Li, F.
Gong, Q.
author_facet You, W.F.
Luo, L.
Li, F.
Gong, Q.
author_sort You, W.F.
collection PubMed
description INTRODUCTION: One of the most perplexing and characteristic symptoms of the schizophrenia (SZ) patients is hallucination. The occurrence of hallucinations to be associated with altered activity in the auditory and visual cortex but is not well understood from the brain functional network dynamics in SZ. OBJECTIVES: To explore the brain abnormal basis of hallucinations in SZ with the dynamic functional connectivity (dFC). METHODS: Using magnetic resonance imaging for 83 SZ patients and 83 matched healthy controls and independent component analysis, 52 independent components (ICs) were identified as nodes and assigned into eight intrinsic connectivity networks (Figure 1A). Subsequently, we established dFC matrices and clustered them into four discrete states (Figure 1B) and three state transition metrics were obtained. To further explore the changes in the centrality of each component, eigenvector centrality (EC) was calculated and its time-varying was evaluated. [Figure: see text] RESULTS: Compared to controls with FDR correction, we found that patients had more mean dwell times and fractional time in state 1 (P=0.0081 and P=0.0018), mainly with hypoconnectivity between auditory and visual network and other networks and hyperconnectivity between language and default-mode network (DMN). While, patients had less dwell times and fractional time in state 3 (P=0.0018 and P=0.0009), and decreased FC between visual network and executive control network (ECN) and increased FC between ECN and DMN than controls (Figure 2). [Figure: see text] EC statistics showed that SZs displayed increased temporal dynamics in visual-related regions (Figure 3). [Figure: see text] CONCLUSIONS: SZ was mainly manifested as altered dFC and temporal variability of nodal centrality in auditory and visual networks. DISCLOSURE: No significant relationships.
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spelling pubmed-94717292022-09-29 Altered brain functional dynamics in auditory and visual networks in schizophrenia You, W.F. Luo, L. Li, F. Gong, Q. Eur Psychiatry Abstract INTRODUCTION: One of the most perplexing and characteristic symptoms of the schizophrenia (SZ) patients is hallucination. The occurrence of hallucinations to be associated with altered activity in the auditory and visual cortex but is not well understood from the brain functional network dynamics in SZ. OBJECTIVES: To explore the brain abnormal basis of hallucinations in SZ with the dynamic functional connectivity (dFC). METHODS: Using magnetic resonance imaging for 83 SZ patients and 83 matched healthy controls and independent component analysis, 52 independent components (ICs) were identified as nodes and assigned into eight intrinsic connectivity networks (Figure 1A). Subsequently, we established dFC matrices and clustered them into four discrete states (Figure 1B) and three state transition metrics were obtained. To further explore the changes in the centrality of each component, eigenvector centrality (EC) was calculated and its time-varying was evaluated. [Figure: see text] RESULTS: Compared to controls with FDR correction, we found that patients had more mean dwell times and fractional time in state 1 (P=0.0081 and P=0.0018), mainly with hypoconnectivity between auditory and visual network and other networks and hyperconnectivity between language and default-mode network (DMN). While, patients had less dwell times and fractional time in state 3 (P=0.0018 and P=0.0009), and decreased FC between visual network and executive control network (ECN) and increased FC between ECN and DMN than controls (Figure 2). [Figure: see text] EC statistics showed that SZs displayed increased temporal dynamics in visual-related regions (Figure 3). [Figure: see text] CONCLUSIONS: SZ was mainly manifested as altered dFC and temporal variability of nodal centrality in auditory and visual networks. DISCLOSURE: No significant relationships. Cambridge University Press 2021-08-13 /pmc/articles/PMC9471729/ http://dx.doi.org/10.1192/j.eurpsy.2021.428 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
You, W.F.
Luo, L.
Li, F.
Gong, Q.
Altered brain functional dynamics in auditory and visual networks in schizophrenia
title Altered brain functional dynamics in auditory and visual networks in schizophrenia
title_full Altered brain functional dynamics in auditory and visual networks in schizophrenia
title_fullStr Altered brain functional dynamics in auditory and visual networks in schizophrenia
title_full_unstemmed Altered brain functional dynamics in auditory and visual networks in schizophrenia
title_short Altered brain functional dynamics in auditory and visual networks in schizophrenia
title_sort altered brain functional dynamics in auditory and visual networks in schizophrenia
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471729/
http://dx.doi.org/10.1192/j.eurpsy.2021.428
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