Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms

Impacto

Downloads

Downloads per month over past year

Shumbayawonda, Elizabeth and Abásolo, Daniel and López Sanz, David and Bruña Fernández, Ricardo and Maestú Unturbe, Fernando and Fernández Lucas, Alberto Amable (2019) Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms. Entropy, 21 (8). p. 798. ISSN 1099-4300

[thumbnail of entropy-21-00798.pdf]
Preview
PDF
Creative Commons Attribution.

1MB

Official URL: https://doi.org/10.3390/e21080798




Abstract

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.


Item Type:Article
Uncontrolled Keywords:permutation Lempel-Ziv complexity; magnetoencephalography; source space; healthy aging; sex differences
Subjects:Medical sciences > Medicine > Neurosciences
ID Code:65751
Deposited On:25 May 2021 15:01
Last Modified:26 May 2021 06:29

Origin of downloads

Repository Staff Only: item control page