Wide Range Multiscale Entropy Changes through Development

Entropy

Nicola R. Polizzotto¹  Tetsuya Takahashi²  Christopher P. Walker¹  Raymond Y. Cho¹ 

[1] Department of Psychiatry and Behavioral Studies, University of Texas Health Science Center at Houston, 1941 East Road, Houston, TX 77054, USA;Research Center for Child Mental Development, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8641, Japan;

关键词: multiscale entropy;    development;    complexity;    EEG;   

DOI  :  10.3390/e18010012

来源: mdpi

【 摘 要 】

How variability in the brain’s neurophysiologic signals evolves during development is important for a global, system-level understanding of brain maturation and its disturbance in neurodevelopmental disorders. In the current study, we use multiscale entropy (MSE), a measure that has been related to signal complexity, to investigate how this variability evolves during development across a broad range of temporal scales. We computed MSE, standard deviation (STD) and standard spectral analyses on resting EEG from 188 healthy individuals aged 8–22 years old. We found age-related increases in entropy at lower scales (<~20 ms) and decreases in entropy at higher scales (~60–80 ms). Decreases in the overall signal STD were anticorrelated with entropy, especially in the lower scales, where regression analyses showed substantial covariation of observed changes. Our findings document for the first time the scale dependency of developmental changes from childhood to early adulthood, challenging a parsimonious MSE-based account of brain maturation along a unidimensional, complexity measure. At the level of analysis permitted by electroencephalography (EEG), MSE could capture critical spatiotemporal variations in the role of noise in the brain. However, interpretations critically rely on defining how signal STD affects MSE properties.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.