Next Article in Journal
Distinguishing between Clausius, Boltzmann and Pauling Entropies of Frozen Non-Equilibrium States
Next Article in Special Issue
Interpretation of Entropy Algorithms in the Context of Biomedical Signal Analysis and Their Application to EEG Analysis in Epilepsy
Previous Article in Journal
A New Model for Complex Dynamical Networks Considering Random Data Loss
Previous Article in Special Issue
EEG Characterization of the Alzheimer’s Disease Continuum by Means of Multiscale Entropies
Article

Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms

1
Centre for Biomedical Engineering, Department of Mechanical Engineering Sciences, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7XH, UK
2
Laboratorio de Neurociencia Cognitiva y Computacional, Universidad Politécnica de Madrid—Universidad Complutense de Madrid (UPM-UCM), 28223 Madrid, Spain
3
Departamento de Psicología Experimental, Procesos Cognitivos y Logopedia, Universidad Complutense de Madrid, 28223 Madrid, Spain
4
Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 28029 Madrid, Spain
5
Departamento de Medicina Legal, Psiquiatría y Patología, Universidad Complutense de Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(8), 798; https://doi.org/10.3390/e21080798
Received: 24 June 2019 / Revised: 12 August 2019 / Accepted: 13 August 2019 / Published: 15 August 2019
(This article belongs to the Special Issue Entropy Applications in EEG/MEG)
The analysis of resting-state brain activity recording in magnetoencephalograms (MEGs) with new algorithms of symbolic dynamics analysis could help obtain a deeper insight into the functioning of the brain and identify potential differences between males and females. Permutation Lempel-Ziv complexity (PLZC), a recently introduced non-linear signal processing algorithm based on symbolic dynamics, was used to evaluate the complexity of MEG signals in source space. PLZC was estimated in a broad band of frequencies (2–45 Hz), as well as in narrow bands (i.e., theta (4–8 Hz), alpha (8–12 Hz), low beta (12–20 Hz), high beta (20–30 Hz), and gamma (30–45 Hz)) in a sample of 98 healthy elderly subjects (49 males, 49 female) aged 65–80 (average age of 72.71 ± 4.22 for males and 72.67 ± 4.21 for females). PLZC was significantly higher for females than males in the high beta band at posterior brain regions including the precuneus, and the parietal and occipital cortices. Further statistical analyses showed that higher complexity values over highly overlapping regions than the ones mentioned above were associated with larger hippocampal volumes only in females. These results suggest that sex differences in healthy aging can be identified from the analysis of magnetoencephalograms with novel signal processing methods. View Full-Text
Keywords: permutation Lempel-Ziv complexity; magnetoencephalography; source space; healthy aging; sex differences permutation Lempel-Ziv complexity; magnetoencephalography; source space; healthy aging; sex differences
Show Figures

Figure 1

MDPI and ACS Style

Shumbayawonda, E.; Abásolo, D.; López-Sanz, D.; Bruña, R.; Maestu, F.; Fernández, A. Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms. Entropy 2019, 21, 798. https://doi.org/10.3390/e21080798

AMA Style

Shumbayawonda E, Abásolo D, López-Sanz D, Bruña R, Maestu F, Fernández A. Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms. Entropy. 2019; 21(8):798. https://doi.org/10.3390/e21080798

Chicago/Turabian Style

Shumbayawonda, Elizabeth, Daniel Abásolo, David López-Sanz, Ricardo Bruña, Fernando Maestu, and Alberto Fernández. 2019. "Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms" Entropy 21, no. 8: 798. https://doi.org/10.3390/e21080798

Find Other Styles
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