Entropy | |
Characterizing Motif Dynamics of Electric Brain Activity Using Symbolic Analysis | |
Massimiliano Zanin1  | |
[1] Faculdade de Ciências e Tecnologia, Departamento de Engenharia Electrotécnica, Universidade Nova de Lisboa, 2829-516 Caparica, Lisbon, |
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关键词: motifs; entropy; forbidden patterns; electroencephalogram (EEG); time scales; | |
DOI : 10.3390/e16115654 | |
来源: mdpi | |
【 摘 要 】
Motifs are small recurring circuits of interactions which constitute the backbone of networked systems. Characterizing motif dynamics is therefore key to understanding the functioning of such systems. Here we propose a method to define and quantify the temporal variability and time scales of electroencephalogram (EEG) motifs of resting brain activity. Given a triplet of EEG sensors, links between them are calculated by means of linear correlation; each pattern of links (
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
Files | Size | Format | View |
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RO202003190020655ZK.pdf | 21583KB | download |