Network analysis of electrical activity in brain motor cortex during motor execution and motor imagery

被引：1
|
作者：
Pitsik, Elena [1 ]
Frolov, Nikita [1 ]
机构：
[1] Innopolis Univ, Neurosci & Cognit Technol Lab, Ctr Technol Robot & Mechatron Components, Innopolis 420500, The Republic Of, Russia
来源：
SARATOV FALL MEETING 2019: COMPUTATIONS AND DATA ANALYSIS: FROM NANOSCALE TOOLS TO BRAIN FUNCTIONS | 2020年 / 11459卷
关键词：
recurrence quantification analysis; electroencephalography; motor execution; motor imagery; recurrence-based measure of dependence; connectivity analysis;
D O I：
10.1117/12.2563976
中图分类号：
R445 [影像诊断学];
学科分类号：
100207 ;
摘要：
We conducted the functional connectivity analysis of EEG recordings corresponding to motor execution and motor imagery. This study aims at finding the relationship between motor actions and neuronal interactions in different low-frequency bands: mu/alpha (8-13 Hz) and beta (15-30 Hz). To reveal functional networks in mentioned frequency bands we develop and apply the novel model-free approach based on wavelet and recurrence analysis of multivariate time-series.
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页数：6
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