Aging amplifies sex differences in low alpha and low beta EEG oscillations

Chuanliang Han, Vincent C.K. Cheung*, Rosa H.M. Chan*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

1 Citation (Scopus)
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Abstract

Biological sex profoundly shapes brain function, yet its precise influence on neural oscillations was poorly understood. Despite decades of research, studies investigating sex-based variations in electroencephalographic (EEG) signals have yielded inconsistent findings that obstructs what may be a potentially crucial source of inter-individual variability in brain function. To address this, we analyzed five publicly available resting-state datasets, comprising EEG data (n = 445) and iEEG data (n = 103). Three age ranges were defined, young adult (YA, 18–30 years), middle-aged adult (MA, 30–55 years) and older adult (OA, 55–80 years). Our results revealed striking age-dependent sex differences: OA group exhibited robust sex differences, with males showing heightened low alpha (8–9 Hz) activity in temporal regions and attenuated low beta (16–20 Hz) oscillations in parietal-occipital areas compared to females. Intriguingly, these sex-specific patterns were absent in YA group, suggesting a complex interplay between sex and aging in shaping brain dynamics. The MA groups fall in between YA and OA group. The increase of low beta band activity in older female adults is strongly associated with hip size and BMI. Furthermore, we identified consistent sex-related activity in the precentral gyrus with the results of scalp EEG, potentially driving the observed scalp EEG differences. This multi-level analysis allowed us to bridge the gap between cortical and scalp-level observations, providing a more comprehensive picture of sex-related neural dynamics. The distinct associations between sex-specific oscillatory patterns and several lifestyle factors demonstrates the complex interplay between sex, age, and neural oscillations, revealing the variability in brain dynamics. Our findings highlight the importance of careful demographic consideration in EEG research design to ensure fairness in capturing the full spectrum of neurophysiological diversity. © 2025 Published by Elsevier Inc. 
Original languageEnglish
Article number121231
JournalNeuroImage
Volume312
Online published17 Apr 2025
DOIs
Publication statusPublished - 15 May 2025

Funding

This work was funded by the Research Grants Council of the Hong Kong Special Administrative Region, China (Project Nos. R4022\u201318, N_CUHK456/21, 14114721, 14119022, and STG1_M-401_24-N to V.C.K.C. Project No. 9042986 to R.H.M.C.), grants from The Chinese University of Hong Kong (Project Nos. 2020095, 2021.065 for Faculty of Medicine, and project \"Impact Case C7\" for Research Committee, to V.C.K.C.), and funding from City University of Hong Kong (No. 7005641, 7005857 and 7006091 to R.H.M.C.)

Research Keywords

  • Aging
  • Anthropometry
  • EEG
  • Neural oscillations
  • Sex differences

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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