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:	Hongyi Zheng, Hongkun Liu, Gengbiao Zhang, Jiayan Zhuang, Weijia Li, Wenbin Zheng
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	independent component analysis adult children acute carbon monoxide poisoning dynamic functional network connectivity (dFNC) fMRI Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/02a2efac49424de8a8c2b9616ed91c07
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spelling	oai:doaj.org-article:02a2efac49424de8a8c2b9616ed91c072021-11-11T10:17:00ZAbnormal Brain Functional Network Dynamics in Acute CO Poisoning1662-453X10.3389/fnins.2021.749887https://doaj.org/article/02a2efac49424de8a8c2b9616ed91c072021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnins.2021.749887/fullhttps://doaj.org/toc/1662-453XAims: 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.Hongyi ZhengHongkun LiuGengbiao ZhangJiayan ZhuangWeijia LiWenbin ZhengFrontiers Media S.A.articleindependent component analysisadultchildrenacute carbon monoxide poisoningdynamic functional network connectivity (dFNC)fMRINeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Neuroscience, Vol 15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	independent component analysis adult children acute carbon monoxide poisoning dynamic functional network connectivity (dFNC) fMRI Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	independent component analysis adult children acute carbon monoxide poisoning dynamic functional network connectivity (dFNC) fMRI Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Hongyi Zheng Hongkun Liu Gengbiao Zhang Jiayan Zhuang Weijia Li Wenbin Zheng Abnormal Brain Functional Network Dynamics in Acute CO Poisoning
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.
format	article
author	Hongyi Zheng Hongkun Liu Gengbiao Zhang Jiayan Zhuang Weijia Li Wenbin Zheng
author_facet	Hongyi Zheng Hongkun Liu Gengbiao Zhang Jiayan Zhuang Weijia Li Wenbin Zheng
author_sort	Hongyi Zheng
title	Abnormal Brain Functional Network Dynamics in Acute CO Poisoning
title_short	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_sort	abnormal brain functional network dynamics in acute co poisoning
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/02a2efac49424de8a8c2b9616ed91c07
work_keys_str_mv	AT hongyizheng abnormalbrainfunctionalnetworkdynamicsinacutecopoisoning AT hongkunliu abnormalbrainfunctionalnetworkdynamicsinacutecopoisoning AT gengbiaozhang abnormalbrainfunctionalnetworkdynamicsinacutecopoisoning AT jiayanzhuang abnormalbrainfunctionalnetworkdynamicsinacutecopoisoning AT weijiali abnormalbrainfunctionalnetworkdynamicsinacutecopoisoning AT wenbinzheng abnormalbrainfunctionalnetworkdynamicsinacutecopoisoning
_version_	1718439187957415936

Abnormal Brain Functional Network Dynamics in Acute CO Poisoning

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