Brain age prediction, as a significant approach for assessing brain health and early diagnosing neurodegenerative diseases, has garnered widespread attention in recent years. Electroencephalogram (EEG), an non-invasive, convenient, and cost-effective neurophysiological signal, offers unique advantages for brain age prediction due to its high temporal resolution and strong correlation with brain functional states. Despite substantial progress in enhancing prediction accuracy and generalizability, challenges remain in data quality and model interpretability. This review comprehensively examined the advancements in EEG-based brain age prediction, detailing key aspects of data preprocessing, feature extraction, model construction, and result evaluation. It also summarized the current applications of machine learning and deep learning methods in this field, analyzed existing issues, and explored future directions to promote the widespread application of EEG-based brain age prediction in both clinical and research settings.
Humans ; Electroencephalography/methods* ; Brain/physiology* ; Machine Learning ; Aging/physiology* ; Deep Learning ; Signal Processing, Computer-Assisted

Objective To compare the contents of alkaloid in Aconiti Kusnezoffii Radix with different degrees of processing and their effects on electrocardiogram and vagus nerve action potential in SD rats;To establish a toxicity evaluation method for Aconiti Kusnezoffii Radix and its processed products.Methods HPLC was used to determine the contents of six alkaloid components,including benzoyl neoaconitine,benzoyl aconitine,benzoyl subeaconitine,neoaconitine,subeaconitine and aconitine in Aconiti Kusnezoffii Radix and Aconiti Kusnezoffii Radix Cocta of soaking and boiled for 30 minutes,boiled for 4 h without soaking,soaking and boiled for 4 h,and soaking and boiled for 8 h.SD rats were subjected to sublingual drainage with Aconiti Kusnezoffii Radix and four types of processed products.The vagus nerve action potential and electrocardiogram of rats before and after administration were recorded,and the correlation analysis between alkaloid content and vagus nerve action potential and heart rate was conducted.Results The contents of alkaloid of the four processed products showed that the content of diester alkaloids was soaking and boiled for 30 min>boiled for 4 h without soaking>soaking and boiled for 4 h>soaking and boiled for 8 h;monoester alkaloid content:boiled for 4 h without soaking>soaking and boiled for 30 min>soaking and boiled for 4 h>soaking and boiled for 8 h.After the administration of each sample,compared with the basal discharge,the vagus nerve discharge of rats with different processed products was changed by sublingual administration,heart rate increased,the degree of arrhythmia increased,and it varied with the degree of processing;the results of correlation analysis showed that there was a significant correlation between the nerve discharge area and the contents of diester alkaloids and total alkaloids.Conclusion The action potential of the vagus nerve and electrocardiogram of rats after sublingual drainage administration can reflect the degree of numbness in the tongue,which can provide reference for the study of tongue sensation of Aconiti Kusnezoffii Radix.