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Probing the Functional and Structural Connectivity Underlying EEG Traveling Waves.
Qin, Yun; Zhang, Nan; Chen, Yan; Tan, Yue; Yang, Zhenglin; Shi, Yi; Luo, Cheng; Liu, Tiejun; Yao, Dezhong.
Afiliação
  • Qin Y; MOE Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.
  • Zhang N; Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu, P.R. China.
  • Chen Y; MOE Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.
  • Tan Y; MOE Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.
  • Yang Z; MOE Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.
  • Shi Y; School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China.
  • Luo C; School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China.
  • Liu T; MOE Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.
  • Yao D; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China.
Brain Topogr ; 35(1): 66-78, 2022 01.
Article em En | MEDLINE | ID: mdl-34291338
ABSTRACT
Neural oscillations play an important role in the maintenance of brain function by regulating multi-scale neural activity. Characterizing the traveling properties of EEG is helpful for understanding the spatiotemporal dynamics of neural oscillations. However, traveling EEG based on non-invasive approach has little been investigated, and the relationship with brain intrinsic connectivity is not well known. In this study, traveling EEG of different frequency bands on the scalp in terms of the center of mass (EEG-CM) was examined. Then, two quantitative indexes describing the spatiotemporal features of EEG-CM were proposed, i.e., the traveling lateralization and velocity of EEG-CM. Further, based on simultaneous EEG-MRI approach, the relationship between traveling EEG-CM and the resting-state functional networks, as well as the microstructural connectivity of white matter was investigated. The results showed that there was similar spatial distribution of EEG-CM under different frequency bands, while the velocity of rhythmic EEG-CM increased in higher frequency bands. The lateralization of EEG-CM in low frequency bands (< 30 Hz) demonstrated negative relationship with the basal ganglia network (BGN). In addition, the velocity of the traveling EEG-CM was associated with the fractional anisotropy (FA) in corpus callosum and corona radiate. These results provided valid quantitative EEG index for understanding the spatiotemporal characteristics of the scalp EEG, and implied that the EEG dynamics were representations of functional and structural organization of cortical and subcortical structures.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Eletroencefalografia / Substância Branca Limite: Humans Idioma: En Revista: Brain Topogr Assunto da revista: CEREBRO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Eletroencefalografia / Substância Branca Limite: Humans Idioma: En Revista: Brain Topogr Assunto da revista: CEREBRO Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China