Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain dataset.
Frontiers in aging neuroscience(2022)
摘要
The architecture and training method of the proposed deep convolutional neural networks (DCNN) improve state-of-the-art metrics in the age prediction task using raw resting-state EEG data by 13%. Given that brain age prediction might be a potential biomarker of numerous brain diseases, inexpensive and precise EEG-based estimation of brain age will be in demand for clinical practice.
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关键词
brain aging,deep learning,human brain,relative loss,resting-state EEG
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