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Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography

Schizophrenia has a complex etiology and symptomatology that is difficult to untangle. After decades of research, important advancements toward a central biomarker are still lacking. One of the missing pieces is a better understanding of how non-linear neural dynamics are altered in this patient pop...

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Autores principales: Alamian, Golnoush, Lajnef, Tarek, Pascarella, Annalisa, Lina, Jean-Marc, Knight, Laura, Walters, James, Singh, Krish D., Jerbi, Karim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8995790/
https://www.ncbi.nlm.nih.gov/pubmed/35418839
http://dx.doi.org/10.3389/fncir.2022.630621
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author Alamian, Golnoush
Lajnef, Tarek
Pascarella, Annalisa
Lina, Jean-Marc
Knight, Laura
Walters, James
Singh, Krish D.
Jerbi, Karim
author_facet Alamian, Golnoush
Lajnef, Tarek
Pascarella, Annalisa
Lina, Jean-Marc
Knight, Laura
Walters, James
Singh, Krish D.
Jerbi, Karim
author_sort Alamian, Golnoush
collection PubMed
description Schizophrenia has a complex etiology and symptomatology that is difficult to untangle. After decades of research, important advancements toward a central biomarker are still lacking. One of the missing pieces is a better understanding of how non-linear neural dynamics are altered in this patient population. In this study, the resting-state neuromagnetic signals of schizophrenia patients and healthy controls were analyzed in the framework of criticality. When biological systems like the brain are in a state of criticality, they are thought to be functioning at maximum efficiency (e.g., optimal communication and storage of information) and with maximum adaptability to incoming information. Here, we assessed the self-similarity and multifractality of resting-state brain signals recorded with magnetoencephalography in patients with schizophrenia patients and in matched controls. Schizophrenia patients had similar, although attenuated, patterns of self-similarity and multifractality values. Statistical tests showed that patients had higher values of self-similarity than controls in fronto-temporal regions, indicative of more regularity and memory in the signal. In contrast, patients had less multifractality than controls in the parietal and occipital regions, indicative of less diverse singularities and reduced variability in the signal. In addition, supervised machine-learning, based on logistic regression, successfully discriminated the two groups using measures of self-similarity and multifractality as features. Our results provide new insights into the baseline cognitive functioning of schizophrenia patients by identifying key alterations of criticality properties in their resting-state brain data.
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spelling pubmed-89957902022-04-12 Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography Alamian, Golnoush Lajnef, Tarek Pascarella, Annalisa Lina, Jean-Marc Knight, Laura Walters, James Singh, Krish D. Jerbi, Karim Front Neural Circuits Neural Circuits Schizophrenia has a complex etiology and symptomatology that is difficult to untangle. After decades of research, important advancements toward a central biomarker are still lacking. One of the missing pieces is a better understanding of how non-linear neural dynamics are altered in this patient population. In this study, the resting-state neuromagnetic signals of schizophrenia patients and healthy controls were analyzed in the framework of criticality. When biological systems like the brain are in a state of criticality, they are thought to be functioning at maximum efficiency (e.g., optimal communication and storage of information) and with maximum adaptability to incoming information. Here, we assessed the self-similarity and multifractality of resting-state brain signals recorded with magnetoencephalography in patients with schizophrenia patients and in matched controls. Schizophrenia patients had similar, although attenuated, patterns of self-similarity and multifractality values. Statistical tests showed that patients had higher values of self-similarity than controls in fronto-temporal regions, indicative of more regularity and memory in the signal. In contrast, patients had less multifractality than controls in the parietal and occipital regions, indicative of less diverse singularities and reduced variability in the signal. In addition, supervised machine-learning, based on logistic regression, successfully discriminated the two groups using measures of self-similarity and multifractality as features. Our results provide new insights into the baseline cognitive functioning of schizophrenia patients by identifying key alterations of criticality properties in their resting-state brain data. Frontiers Media S.A. 2022-03-28 /pmc/articles/PMC8995790/ /pubmed/35418839 http://dx.doi.org/10.3389/fncir.2022.630621 Text en Copyright © 2022 Alamian, Lajnef, Pascarella, Lina, Knight, Walters, Singh and Jerbi. 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 Neural Circuits
Alamian, Golnoush
Lajnef, Tarek
Pascarella, Annalisa
Lina, Jean-Marc
Knight, Laura
Walters, James
Singh, Krish D.
Jerbi, Karim
Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography
title Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography
title_full Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography
title_fullStr Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography
title_full_unstemmed Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography
title_short Altered Brain Criticality in Schizophrenia: New Insights From Magnetoencephalography
title_sort altered brain criticality in schizophrenia: new insights from magnetoencephalography
topic Neural Circuits
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8995790/
https://www.ncbi.nlm.nih.gov/pubmed/35418839
http://dx.doi.org/10.3389/fncir.2022.630621
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