Multi-scale convolutional recurrent neural network for psychiatric disorder identification in resting-state EEG

BACKGROUND: Accurate classification based on affordable objective neuroimaging biomarkers are important steps toward designing individualized treatment. METHODS: In this work, we investigated a deep learning classification model, multi-scale convolutional recurrent neural network (MCRNN), to explore...

Descripción completa

Detalles Bibliográficos
Autores principales: Yan, Weizheng, Yu, Linzhen, Liu, Dandan, Sui, Jing, Calhoun, Vince D., Lin, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333510/
https://www.ncbi.nlm.nih.gov/pubmed/37441141
http://dx.doi.org/10.3389/fpsyt.2023.1202049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333510/
https://www.ncbi.nlm.nih.gov/pubmed/37441141
http://dx.doi.org/10.3389/fpsyt.2023.1202049

Ejemplares similares