Altered resting-state electroencephalography microstate characteristics in young male smokers
The development of nicotine addiction was associated with the abnormalities of intrinsic functional networks during the resting state in young adult smokers. As a whole-brain imaging approach, EEG microstate analysis treated multichannel EEG recordings as a series of quasi-steady microscopic states...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1008007/full |
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| author | Xiaojian Li Fang Dong Yunmiao Zhang Juan Wang Zhengxi Wang Yaning Sun Ming Zhang Ting Xue Yan Ren Xiaoqi Lv Kai Yuan Kai Yuan Dahua Yu |
| author_facet | Xiaojian Li Fang Dong Yunmiao Zhang Juan Wang Zhengxi Wang Yaning Sun Ming Zhang Ting Xue Yan Ren Xiaoqi Lv Kai Yuan Kai Yuan Dahua Yu |
| author_sort | Xiaojian Li |
| collection | DOAJ |
| description | The development of nicotine addiction was associated with the abnormalities of intrinsic functional networks during the resting state in young adult smokers. As a whole-brain imaging approach, EEG microstate analysis treated multichannel EEG recordings as a series of quasi-steady microscopic states which were related to the resting-state networks (RSNs) found by fMRI. The aim of this study was to examine whether the resting-state EEG microstate analysis may provide novel insights into the abnormal temporal properties of intrinsic brain activities in young smokers. We used 64-channel resting-state EEG datasets to investigate alterations in microstate characteristics between twenty-five young smokers and 25 age- and gender-matched non-smoking controls. Four classic EEG microstates (microstate A, B, C, and D) were obtained, and the four temporal parameters of each microstate were extracted, i.e., duration, occurrence, coverage, and transition probabilities. Compared with non-smoking controls, young smokers showed decreased occurrence of microstate C and increased duration of microstate D. Furthermore, both the duration and coverage of microstate D were significantly negatively correlated with Fagerstrom Test of Nicotine Dependence (FTND) in young smoker group. The complex changes in the microstate time-domain parameters might correspond to the abnormalities of RSNs in analyses of FC measured with fMRI in the previous studies and indicate the altered specific brain functions in young smokers. Microstate D could be potentially represented as a selective biomarker for predicting the dependence degree of adolescent smokers on cigarettes. These results suggested that EEG microstate analysis might detect the deviant functions of large-scale cortical activities in young smokers and provide a new perspective for the study of brain networks of adolescent smokers. |
| first_indexed | 2024-04-12T13:56:21Z |
| format | Article |
| id | doaj.art-d9c3dcbd5cf14f3fa11ffc824d3616d6 |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-04-12T13:56:21Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-d9c3dcbd5cf14f3fa11ffc824d3616d62022-12-22T03:30:21ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402022-10-011310.3389/fpsyt.2022.10080071008007Altered resting-state electroencephalography microstate characteristics in young male smokersXiaojian Li0Fang Dong1Yunmiao Zhang2Juan Wang3Zhengxi Wang4Yaning Sun5Ming Zhang6Ting Xue7Yan Ren8Xiaoqi Lv9Kai Yuan10Kai Yuan11Dahua Yu12Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, ChinaInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, ChinaInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, ChinaInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, ChinaInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, ChinaInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, ChinaInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, ChinaInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, ChinaInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, ChinaCollege of Information Engineering, Inner Mongolia University of Technology, Hohhot, ChinaInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, ChinaSchool of Life Sciences and Technology, Xidian University, Xi’an, Shaanxi, ChinaInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, ChinaThe development of nicotine addiction was associated with the abnormalities of intrinsic functional networks during the resting state in young adult smokers. As a whole-brain imaging approach, EEG microstate analysis treated multichannel EEG recordings as a series of quasi-steady microscopic states which were related to the resting-state networks (RSNs) found by fMRI. The aim of this study was to examine whether the resting-state EEG microstate analysis may provide novel insights into the abnormal temporal properties of intrinsic brain activities in young smokers. We used 64-channel resting-state EEG datasets to investigate alterations in microstate characteristics between twenty-five young smokers and 25 age- and gender-matched non-smoking controls. Four classic EEG microstates (microstate A, B, C, and D) were obtained, and the four temporal parameters of each microstate were extracted, i.e., duration, occurrence, coverage, and transition probabilities. Compared with non-smoking controls, young smokers showed decreased occurrence of microstate C and increased duration of microstate D. Furthermore, both the duration and coverage of microstate D were significantly negatively correlated with Fagerstrom Test of Nicotine Dependence (FTND) in young smoker group. The complex changes in the microstate time-domain parameters might correspond to the abnormalities of RSNs in analyses of FC measured with fMRI in the previous studies and indicate the altered specific brain functions in young smokers. Microstate D could be potentially represented as a selective biomarker for predicting the dependence degree of adolescent smokers on cigarettes. These results suggested that EEG microstate analysis might detect the deviant functions of large-scale cortical activities in young smokers and provide a new perspective for the study of brain networks of adolescent smokers.https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1008007/fullyoung smokersmicrostateresting stateelectroencephalography (EEG)nicotine addiction |
| spellingShingle | Xiaojian Li Fang Dong Yunmiao Zhang Juan Wang Zhengxi Wang Yaning Sun Ming Zhang Ting Xue Yan Ren Xiaoqi Lv Kai Yuan Kai Yuan Dahua Yu Altered resting-state electroencephalography microstate characteristics in young male smokers Frontiers in Psychiatry young smokers microstate resting state electroencephalography (EEG) nicotine addiction |
| title | Altered resting-state electroencephalography microstate characteristics in young male smokers |
| title_full | Altered resting-state electroencephalography microstate characteristics in young male smokers |
| title_fullStr | Altered resting-state electroencephalography microstate characteristics in young male smokers |
| title_full_unstemmed | Altered resting-state electroencephalography microstate characteristics in young male smokers |
| title_short | Altered resting-state electroencephalography microstate characteristics in young male smokers |
| title_sort | altered resting state electroencephalography microstate characteristics in young male smokers |
| topic | young smokers microstate resting state electroencephalography (EEG) nicotine addiction |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1008007/full |
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