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Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain dataset
INTRODUCTION: Brain age prediction has been shown to be clinically relevant, with errors in its prediction associated with various psychiatric and neurological conditions. While the prediction from structural and functional magnetic resonance imaging data has been feasible with high accuracy, whethe...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764861/ https://www.ncbi.nlm.nih.gov/pubmed/36561135 http://dx.doi.org/10.3389/fnagi.2022.1019869 |