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Abnormal Brain Functional Network Dynamics in Acute CO Poisoning

Aims: Carbon monoxide poisoning is a common condition that can cause severe neurological sequelae. Previous studies have revealed that functional connectivity in carbon monoxide poisoning is abnormal under the assumption that it is resting during scanning and have focused on studying delayed encepha...

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Autores principales: Zheng, Hongyi, Liu, Hongkun, Zhang, Gengbiao, Zhuang, Jiayan, Li, Weijia, Zheng, Wenbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636030/
https://www.ncbi.nlm.nih.gov/pubmed/34867160
http://dx.doi.org/10.3389/fnins.2021.749887
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author Zheng, Hongyi
Liu, Hongkun
Zhang, Gengbiao
Zhuang, Jiayan
Li, Weijia
Zheng, Wenbin
author_facet Zheng, Hongyi
Liu, Hongkun
Zhang, Gengbiao
Zhuang, Jiayan
Li, Weijia
Zheng, Wenbin
author_sort Zheng, Hongyi
collection PubMed
description Aims: Carbon monoxide poisoning is a common condition that can cause severe neurological sequelae. Previous studies have revealed that functional connectivity in carbon monoxide poisoning is abnormal under the assumption that it is resting during scanning and have focused on studying delayed encephalopathy in carbon monoxide poisoning. However, studies of functional connectivity dynamics in the acute phase of carbon monoxide poisoning may provide a more insightful perspective for understanding the neural mechanisms underlying carbon monoxide poisoning. To our knowledge, this is the first study that explores abnormal brain network dynamics in the acute phase of carbon monoxide poisoning. Methods: Combining the sliding window method and k-means algorithm, we identified four recurrent dynamic functional cognitive impairment states from resting-state functional magnetic resonance imaging data from 29 patients in the acute phase of carbon monoxide poisoning and 29 healthy controls. We calculated between-group differences in the temporal properties and intensity of dFC states, and we also performed subgroup analyses to separately explore the brain network dynamics characteristics of adult vs. child carbon monoxide poisoning groups. Finally, these differences were correlated with patients’ cognitive performance in the acute phase of carbon monoxide poisoning and coma duration. Results: We identified four morphological patterns of brain functional network connectivity. During the acute phase of carbon monoxide poisoning, patients spent more time in State 2, which is characterized by positive correlation between SMN and CEN, and negative correlation between DMN and SMN. In addition, the fractional window and mean dwell time of State 2 were positively correlated with coma duration. The subgroup analysis results demonstrated that the acute phase of childhood carbon monoxide poisoning had greater dFNC time variability than adult carbon monoxide poisoning. Conclusion: Our findings reveal that patients in the acute phase of carbon monoxide poisoning exhibit dynamic functional abnormalities. Furthermore, children have greater dFNC instability following carbon monoxide poisoning than adults. This advances our understanding of the pathophysiological mechanisms underlying acute carbon monoxide poisoning.
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spelling pubmed-86360302021-12-02 Abnormal Brain Functional Network Dynamics in Acute CO Poisoning Zheng, Hongyi Liu, Hongkun Zhang, Gengbiao Zhuang, Jiayan Li, Weijia Zheng, Wenbin Front Neurosci Neuroscience Aims: Carbon monoxide poisoning is a common condition that can cause severe neurological sequelae. Previous studies have revealed that functional connectivity in carbon monoxide poisoning is abnormal under the assumption that it is resting during scanning and have focused on studying delayed encephalopathy in carbon monoxide poisoning. However, studies of functional connectivity dynamics in the acute phase of carbon monoxide poisoning may provide a more insightful perspective for understanding the neural mechanisms underlying carbon monoxide poisoning. To our knowledge, this is the first study that explores abnormal brain network dynamics in the acute phase of carbon monoxide poisoning. Methods: Combining the sliding window method and k-means algorithm, we identified four recurrent dynamic functional cognitive impairment states from resting-state functional magnetic resonance imaging data from 29 patients in the acute phase of carbon monoxide poisoning and 29 healthy controls. We calculated between-group differences in the temporal properties and intensity of dFC states, and we also performed subgroup analyses to separately explore the brain network dynamics characteristics of adult vs. child carbon monoxide poisoning groups. Finally, these differences were correlated with patients’ cognitive performance in the acute phase of carbon monoxide poisoning and coma duration. Results: We identified four morphological patterns of brain functional network connectivity. During the acute phase of carbon monoxide poisoning, patients spent more time in State 2, which is characterized by positive correlation between SMN and CEN, and negative correlation between DMN and SMN. In addition, the fractional window and mean dwell time of State 2 were positively correlated with coma duration. The subgroup analysis results demonstrated that the acute phase of childhood carbon monoxide poisoning had greater dFNC time variability than adult carbon monoxide poisoning. Conclusion: Our findings reveal that patients in the acute phase of carbon monoxide poisoning exhibit dynamic functional abnormalities. Furthermore, children have greater dFNC instability following carbon monoxide poisoning than adults. This advances our understanding of the pathophysiological mechanisms underlying acute carbon monoxide poisoning. Frontiers Media S.A. 2021-11-11 /pmc/articles/PMC8636030/ /pubmed/34867160 http://dx.doi.org/10.3389/fnins.2021.749887 Text en Copyright © 2021 Zheng, Liu, Zhang, Zhuang, Li and Zheng. 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
Zheng, Hongyi
Liu, Hongkun
Zhang, Gengbiao
Zhuang, Jiayan
Li, Weijia
Zheng, Wenbin
Abnormal Brain Functional Network Dynamics in Acute CO Poisoning
title Abnormal Brain Functional Network Dynamics in Acute CO Poisoning
title_full Abnormal Brain Functional Network Dynamics in Acute CO Poisoning
title_fullStr Abnormal Brain Functional Network Dynamics in Acute CO Poisoning
title_full_unstemmed Abnormal Brain Functional Network Dynamics in Acute CO Poisoning
title_short Abnormal Brain Functional Network Dynamics in Acute CO Poisoning
title_sort abnormal brain functional network dynamics in acute co poisoning
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636030/
https://www.ncbi.nlm.nih.gov/pubmed/34867160
http://dx.doi.org/10.3389/fnins.2021.749887
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