%0 Journal Article
%T Sex Differences in the Complexity of Healthy Older Adults＊ Magnetoencephalograms
%J Entropy | An Open Access Journal from MDPI
%D 2019
%R https://doi.org/10.3390/e21080798
%X 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每45 Hz), as well as in narrow bands (i.e., theta (4每8 Hz), alpha (8每12 Hz), low beta (12每20 Hz), high beta (20每30 Hz), and gamma (30每45 Hz)) in a sample of 98 healthy elderly subjects (49 males, 49 female) aged 65每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-Tex
%U https://www.mdpi.com/1099-4300/21/8/798