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Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task
Schizophrenia is a chronic psychotic disorder characterized by the disruption of thought processes, perception, cognition, and behaviors, for which there is still a lack of objective and quantitative biomarkers in brain activity. Using functional magnetic resonance imaging (fMRI) data from an open-s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963765/ https://www.ncbi.nlm.nih.gov/pubmed/35360175 http://dx.doi.org/10.3389/fnins.2022.821179 |
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author | Farinha, Miguel Amado, Conceição Morgado, Pedro Cabral, Joana |
author_facet | Farinha, Miguel Amado, Conceição Morgado, Pedro Cabral, Joana |
author_sort | Farinha, Miguel |
collection | PubMed |
description | Schizophrenia is a chronic psychotic disorder characterized by the disruption of thought processes, perception, cognition, and behaviors, for which there is still a lack of objective and quantitative biomarkers in brain activity. Using functional magnetic resonance imaging (fMRI) data from an open-source database, this study investigated differences between the dynamic exploration of resting-state networks in 71 schizophrenia patients and 74 healthy controls. Focusing on recurrent states of phase coherence in fMRI signals, brain activity was examined for intergroup differences through the lens of dynamical systems theory. Results showed reduced fractional occupancy and dwell time of a globally synchronized state in schizophrenia. Conversely, patients exhibited increased fractional occupancy, dwell time and limiting probability of being in states during which canonical functional networks—i.e., Limbic, Dorsal Attention and Somatomotor—synchronized in anti-phase with respect to the rest of the brain. In terms of state-to-state transitions, patients exhibited increased probability of switching to Limbic, Somatomotor and Visual networks, and reduced probability of remaining in states related to the Default Mode network, the Orbitofrontal network and the globally synchronized state. All results revealed medium to large effect sizes. Combined, these findings expose pronounced differences in the temporal expression of resting-state networks in schizophrenia patients, which may relate to the pathophysiology of this disorder. Overall, these results reinforce the utility of dynamical systems theory to extend current knowledge regarding disrupted brain dynamics in psychiatric disorders. |
format | Online Article Text |
id | pubmed-8963765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89637652022-03-30 Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task Farinha, Miguel Amado, Conceição Morgado, Pedro Cabral, Joana Front Neurosci Neuroscience Schizophrenia is a chronic psychotic disorder characterized by the disruption of thought processes, perception, cognition, and behaviors, for which there is still a lack of objective and quantitative biomarkers in brain activity. Using functional magnetic resonance imaging (fMRI) data from an open-source database, this study investigated differences between the dynamic exploration of resting-state networks in 71 schizophrenia patients and 74 healthy controls. Focusing on recurrent states of phase coherence in fMRI signals, brain activity was examined for intergroup differences through the lens of dynamical systems theory. Results showed reduced fractional occupancy and dwell time of a globally synchronized state in schizophrenia. Conversely, patients exhibited increased fractional occupancy, dwell time and limiting probability of being in states during which canonical functional networks—i.e., Limbic, Dorsal Attention and Somatomotor—synchronized in anti-phase with respect to the rest of the brain. In terms of state-to-state transitions, patients exhibited increased probability of switching to Limbic, Somatomotor and Visual networks, and reduced probability of remaining in states related to the Default Mode network, the Orbitofrontal network and the globally synchronized state. All results revealed medium to large effect sizes. Combined, these findings expose pronounced differences in the temporal expression of resting-state networks in schizophrenia patients, which may relate to the pathophysiology of this disorder. Overall, these results reinforce the utility of dynamical systems theory to extend current knowledge regarding disrupted brain dynamics in psychiatric disorders. Frontiers Media S.A. 2022-03-11 /pmc/articles/PMC8963765/ /pubmed/35360175 http://dx.doi.org/10.3389/fnins.2022.821179 Text en Copyright © 2022 Farinha, Amado, Morgado and Cabral. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Farinha, Miguel Amado, Conceição Morgado, Pedro Cabral, Joana Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task |
title | Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task |
title_full | Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task |
title_fullStr | Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task |
title_full_unstemmed | Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task |
title_short | Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task |
title_sort | increased excursions to functional networks in schizophrenia in the absence of task |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963765/ https://www.ncbi.nlm.nih.gov/pubmed/35360175 http://dx.doi.org/10.3389/fnins.2022.821179 |
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