Progress of tic disorders based on EEG data analysis
10.3760/cma.j.issn.1673-4408.2024.10.006
- VernacularTitle:抽动障碍的脑电数据分析研究进展
- Author:
Yuxin XIANG
1
;
Dan SUN
;
Zhisheng LIU
Author Information
1. 华中科技大学同济医学院附属武汉儿童医院神经内科430016
- Keywords:
Tic disorders;
EEG;
Brain connectivity;
Brain network;
Time-frequency analysis
- From:
International Journal of Pediatrics
2024;51(10):674-679
- CountryChina
- Language:Chinese
-
Abstract:
Tic disorders（TD）are common neurodevelopmental disorders whose pathogenesis is unknown.As a non-invasive examination，electroencephalography（EEG）is widely used in the diagnosis of TD.Due to the high temporal resolution of the EEG signal，when combined with standardized analysis techniques，it can not only be used to understand the physiological functions of the subject，but also to reflect the pathophysiological changes of the disease.Based on the data analysis technology of EEG，this paper reviews the progress of brain connectivity and brain network analysis，time-frequency analysis，and EEG complexity of TD，summarizes the shortcomings of existing research，and provides new ideas for further in-depth study of its pathophysiological mechanism.
