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年龄可预测视觉诱发电位的峰值伽马频率和N1波幅。

Age predicts peak gamma frequency and N1 amplitude of visual evoked potential.

作者信息

Dawood Abdullah Bin

机构信息

Department of Psychology, King Saud University, Riyadh, Saudi Arabia.

出版信息

BMC Neurosci. 2025 Jan 24;26(1):7. doi: 10.1186/s12868-024-00917-5.

Abstract

The current study investigated whether the age of healthy adults could predict the peak gamma frequency and the peak amplitudes of VEP components (N1, P2). 49 healthy participants (aged between 19 and 52 years) underwent EEG recordings during a visual task eliciting clear gamma frequency oscillations and VEP activities. After eliminating noisy and outlier data, data from 41 participants were analysed using simple linear regression. The results indicated that age was a significant predictor of peak gamma frequency and the peak amplitude of VEP-N1 but not the peak amplitude of VEP-P2. Age was negatively associated with peak gamma frequency and the peak amplitude of VEP-N1. These findings support previous research indicating that ageing is associated with decreased cortical inhibition, highlighting the importance of GABA in maintaining cortical E-I balance.

摘要

当前的研究调查了健康成年人的年龄是否能够预测伽马频率峰值以及视觉诱发电位成分(N1、P2)的峰值幅度。49名健康参与者(年龄在19岁至52岁之间)在一项视觉任务中接受了脑电图记录,该任务能引发清晰的伽马频率振荡和视觉诱发电位活动。在剔除噪声和异常数据后,使用简单线性回归分析了41名参与者的数据。结果表明,年龄是伽马频率峰值和视觉诱发电位N1峰值幅度的显著预测因子,但不是视觉诱发电位P2峰值幅度的预测因子。年龄与伽马频率峰值和视觉诱发电位N1峰值幅度呈负相关。这些发现支持了先前的研究,表明衰老与皮质抑制降低有关,突出了γ-氨基丁酸在维持皮质兴奋-抑制平衡中的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac42/11763129/2a55786fd913/12868_2024_917_Fig1_HTML.jpg

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