Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms
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 complexit...
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MDPI AG
2019-08-01
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Online Access: | https://www.mdpi.com/1099-4300/21/8/798 |
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author | Elizabeth Shumbayawonda Daniel Abásolo David López-Sanz Ricardo Bruña Fernando Maestu Alberto Fernández |
author_facet | Elizabeth Shumbayawonda Daniel Abásolo David López-Sanz Ricardo Bruña Fernando Maestu Alberto Fernández |
author_sort | Elizabeth Shumbayawonda |
collection | DOAJ |
description | 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. |
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institution | Directory Open Access Journal |
issn | 1099-4300 |
language | English |
last_indexed | 2024-04-14T06:56:39Z |
publishDate | 2019-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Entropy |
spelling | doaj.art-f6eb80ad17894977987ea7a4382824082022-12-22T02:06:52ZengMDPI AGEntropy1099-43002019-08-0121879810.3390/e21080798e21080798Sex Differences in the Complexity of Healthy Older Adults’ MagnetoencephalogramsElizabeth Shumbayawonda0Daniel Abásolo1David López-Sanz2Ricardo Bruña3Fernando Maestu4Alberto Fernández5Centre for Biomedical Engineering, Department of Mechanical Engineering Sciences, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7XH, UKCentre for Biomedical Engineering, Department of Mechanical Engineering Sciences, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7XH, UKLaboratorio de Neurociencia Cognitiva y Computacional, Universidad Politécnica de Madrid—Universidad Complutense de Madrid (UPM-UCM), 28223 Madrid, SpainLaboratorio de Neurociencia Cognitiva y Computacional, Universidad Politécnica de Madrid—Universidad Complutense de Madrid (UPM-UCM), 28223 Madrid, SpainLaboratorio de Neurociencia Cognitiva y Computacional, Universidad Politécnica de Madrid—Universidad Complutense de Madrid (UPM-UCM), 28223 Madrid, SpainLaboratorio de Neurociencia Cognitiva y Computacional, Universidad Politécnica de Madrid—Universidad Complutense de Madrid (UPM-UCM), 28223 Madrid, SpainThe 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.https://www.mdpi.com/1099-4300/21/8/798permutation Lempel-Ziv complexitymagnetoencephalographysource spacehealthy agingsex differences |
spellingShingle | Elizabeth Shumbayawonda Daniel Abásolo David López-Sanz Ricardo Bruña Fernando Maestu Alberto Fernández Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms Entropy permutation Lempel-Ziv complexity magnetoencephalography source space healthy aging sex differences |
title | Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms |
title_full | Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms |
title_fullStr | Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms |
title_full_unstemmed | Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms |
title_short | Sex Differences in the Complexity of Healthy Older Adults’ Magnetoencephalograms |
title_sort | sex differences in the complexity of healthy older adults magnetoencephalograms |
topic | permutation Lempel-Ziv complexity magnetoencephalography source space healthy aging sex differences |
url | https://www.mdpi.com/1099-4300/21/8/798 |
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