Decoding Accelerated Brain Aging: A Deep Learning Approach to Electroencephalography-Based Brain Age Prediction and Its Implications for Personalized Cognitive Longevity
基于静息态脑电深度学习模型的脑龄预测:揭示个体神经老化速率异质性与认知衰退风险的精准评估框架
This study validates a deep learning model using resting-state EEG to compute brain age gap (BAG), establishing it as a robust biomarker for accelerated neuroaging and preclinical cognitive decline.