Next Article in Journal
The Criterion for the Crystallization Ability Assessment as Applied to Borate Glass Powders and Monoliths
Previous Article in Journal
Entropic Divergence and Entropy Related to Nonlinear Master Equations
Previous Article in Special Issue
An Effective Bearing Fault Diagnosis Technique via Local Robust Principal Component Analysis and Multi-Scale Permutation Entropy
Open AccessArticle

A Study of Brain Neuronal and Functional Complexities Estimated Using Multiscale Entropy in Healthy Young Adults

Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(10), 995; https://doi.org/10.3390/e21100995
Received: 5 September 2019 / Revised: 4 October 2019 / Accepted: 10 October 2019 / Published: 12 October 2019
(This article belongs to the Special Issue Multiscale Entropy Approaches and Their Applications)
Brain complexity estimated using sample entropy and multiscale entropy (MSE) has recently gained much attention to compare brain function between diseased or neurologically impaired groups and healthy control groups. Using resting-state functional magnetic resonance imaging (rfMRI) blood oxygen-level dependent (BOLD) signals in a large cohort (n = 967) of healthy young adults, the present study maps neuronal and functional complexities estimated by using MSE of BOLD signals and BOLD phase coherence connectivity, respectively, at various levels of the brain’s organization. The functional complexity explores patterns in a higher dimension than neuronal complexity and may better discern changes in brain functioning. The leave-one-subject-out cross-validation method is used to predict fluid intelligence using neuronal and functional complexity MSE values as features. While a wide range of scales was selected with neuronal complexity, only the first three scales were selected with functional complexity. Fewer scales are advantageous as they preclude the need for long BOLD signals to calculate good estimates of MSE. The presented results corroborate with previous findings and provide a baseline for other studies exploring the use of MSE to examine changes in brain function related to aging, diseases, and clinical disorders. View Full-Text
Keywords: brain complexity; dynamic functional connectivity; edge complexity; fluid intelligence; multiscale entropy; node complexity; resting-state functional magnetic resonance imaging; sample entropy brain complexity; dynamic functional connectivity; edge complexity; fluid intelligence; multiscale entropy; node complexity; resting-state functional magnetic resonance imaging; sample entropy
Show Figures

Figure 1

MDPI and ACS Style

Menon, S.S.; Krishnamurthy, K. A Study of Brain Neuronal and Functional Complexities Estimated Using Multiscale Entropy in Healthy Young Adults. Entropy 2019, 21, 995.

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

1
Back to TopTop