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bioRxiv · 10.1101/2022.09.14.507986

Age-related complexity of the resting state MEG signals: a multiscale entropy analysis

Makani, A.·Akhavan, A.·Shahbazi, F.·Noruzi, M.·Zare, M.
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Abstract

The effects of aging on the brain can be studied by examining the changes in complexity of brain signals and fluid cognitive abilities. This paper is a relatively large-scale study in which the complexity of the resting-state MEG (rsMEG) signal was investigated in 602 healthy participants (298 females and 304 males) aged 18 to 87. In order to quantify the brain signals complexity, the multiscale entropy is applied. This study investigates the relationship between age and fluid intelligence with brain complexity and the variations of the complexity asymmetry between the left-right brain hemispheres across the life span. In the analysis of the brain signals, the gender difference was considered. The results showed that the complexity of rsMEG decreases across the lifespan. However, the complexity difference between the left-right brain hemispheres positively correlates with age. Furthermore, the results demonstrated that fluid intelligence and age have a positive correlation. Finally, the frequency analysis revealed a significant increase in the relative power of low and high gamma rhythms in females compared to males in all age groups.

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Makani, A., Akhavan, A., Shahbazi, F., Noruzi, M., Zare, M.. 2022-09-17. Age-related complexity of the resting state MEG signals: a multiscale entropy analysis. https://doi.org/10.1101/2022.09.14.507986

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