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Switching of brain networks across different cerebral perfusion states: insights from EEG dynamic microstate analyses.
Qi, Xiaoying; Zhang, Xin; Shen, Hao; Su, Jiabin; Gao, Xinjie; Li, Yanjiang; Yang, Heng; Gao, Chao; Ni, Wei; Lei, Yu; Gu, Yuxiang; Mao, Ying; Yu, Yuguo.
Afiliação
  • Qi X; Department of Physiology, School of Medicine, Yan'an University, Yan'an 716000, China.
  • Zhang X; School of Life Science and Human Phenome Institute, Research Institute of Intelligent Complex Systems and Institute of Science and Technology for Brain-Inspired Intelligence Fudan University, Shanghai 200433, China.
  • Shen H; Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
  • Su J; National Center for Neurological Disorders, Fudan University, Shanghai 200433, China.
  • Gao X; School of Life Science and Human Phenome Institute, Research Institute of Intelligent Complex Systems and Institute of Science and Technology for Brain-Inspired Intelligence Fudan University, Shanghai 200433, China.
  • Li Y; Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
  • Yang H; National Center for Neurological Disorders, Fudan University, Shanghai 200433, China.
  • Gao C; Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
  • Ni W; National Center for Neurological Disorders, Fudan University, Shanghai 200433, China.
  • Lei Y; Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
  • Gu Y; National Center for Neurological Disorders, Fudan University, Shanghai 200433, China.
  • Mao Y; Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
  • Yu Y; National Center for Neurological Disorders, Fudan University, Shanghai 200433, China.
Cereb Cortex ; 34(2)2024 01 31.
Article em En | MEDLINE | ID: mdl-38342687
ABSTRACT
The alteration of neural interactions across different cerebral perfusion states remains unclear. This study aimed to fulfill this gap by examining the longitudinal brain dynamic information interactions before and after cerebral reperfusion. Electroencephalogram in eyes-closed state at baseline and postoperative 7-d and 3-month follow-ups (moyamoya disease 20, health controls 23) were recorded. Dynamic network analyses were focused on the features and networks of electroencephalogram microstates across different microstates and perfusion states. Considering the microstate features, the parameters were disturbed of microstate B, C, and D but preserved of microstate A. The transition probabilities of microstates A-B and B-D were increased to play a complementary role across different perfusion states. Moreover, the microstate variability was decreased, but was significantly improved after cerebral reperfusion. Regarding microstate networks, the functional connectivity strengths were declined, mainly within frontal, parietal, and occipital lobes and between parietal and occipital lobes in different perfusion states, but were ameliorated after cerebral reperfusion. This study elucidates how dynamic interaction patterns of brain neurons change after cerebral reperfusion, which allows for the observation of brain network transitions across various perfusion states in a live clinical setting through direct intervention.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article