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

IF 4.7 2区 医学 Q1 NEUROIMAGING
Chuanliang Han , Vincent C.K. Cheung , Rosa H.M. Chan
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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.
衰老放大了低α和低β脑电图振荡的性别差异
生物性别深刻地塑造了大脑功能,但它对神经振荡的确切影响却知之甚少。尽管进行了数十年的研究,但对脑电图(EEG)信号的性别差异的研究得出了不一致的发现,这可能阻碍了脑功能个体间差异的潜在关键来源。为了解决这个问题,我们分析了5个公开可用的静息状态数据集,包括脑电图数据(n = 445)和脑电图数据(n = 103)。年龄范围分为青年(YA, 18-30岁)、中年(MA, 30-55岁)和老年(OA, 55-80岁)。我们的研究结果揭示了显著的年龄依赖性性别差异:OA组表现出强烈的性别差异,与女性相比,男性在颞区表现出较高的低α (8 - 9hz)活动,而在顶枕区表现出较弱的低β (16 - 20hz)振荡。有趣的是,这些性别特异性模式在YA组中不存在,这表明性别和衰老在形成大脑动力学方面存在复杂的相互作用。MA组位于YA组和OA组之间。老年女性低β带活动的增加与臀部大小和身体质量指数密切相关。此外,我们确定了与头皮脑电图结果一致的中央前回的性相关活动,这可能导致观察到的头皮脑电图差异。这种多层次的分析使我们能够弥合皮层和头皮水平观察之间的差距,提供更全面的性相关神经动力学图像。性别特异性振荡模式与几种生活方式因素之间的明显关联表明,性别、年龄和神经振荡之间存在复杂的相互作用,揭示了大脑动力学的可变性。我们的研究结果强调了在脑电图研究设计中仔细考虑人口统计学因素的重要性,以确保公平地捕捉神经生理多样性的全部频谱。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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