Next Article in Journal
Improvement of the k-nn Entropy Estimator with Applications in Systems Biology
Next Article in Special Issue
Using Wearable Accelerometers in a Community Service Context to Categorize Falling Behavior
Previous Article in Journal
Improving Fraudster Detection in Online Auctions by Using Neighbor-Driven Attributes
Previous Article in Special Issue
Multiscale Entropy Analysis on Human Operating Behavior
Open AccessArticle

Wide Range Multiscale Entropy Changes through Development

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
Author to whom correspondence should be addressed.
Academic Editor: Anne Humeau-Heurtier
Entropy 2016, 18(1), 12;
Received: 24 October 2015 / Revised: 20 December 2015 / Accepted: 21 December 2015 / Published: 29 December 2015
(This article belongs to the Special Issue Multiscale Entropy and Its Applications in Medicine and Biology)
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. View Full-Text
Keywords: multiscale entropy; development; complexity; EEG multiscale entropy; development; complexity; EEG
Show Figures

Figure 1

MDPI and ACS Style

Polizzotto, N.R.; Takahashi, T.; Walker, C.P.; Cho, R.Y. Wide Range Multiscale Entropy Changes through Development. Entropy 2016, 18, 12.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop