Identification of different MRI atrophy progression trajectories in epilepsy by subtype and stage inference

Artificial intelligence (AI)-based tools are widely employed, but their use for diagnosis and prognosis of neurological disorders is still evolving. Here we analyse a cross-sectional multicentre structural MRI dataset of 696 people with epilepsy and 118 control subjects. We use an innovative machine...

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Detalles Bibliográficos
Autores principales: Xiao, Fenglai, Caciagli, Lorenzo, Wandschneider, Britta, Sone, Daichi, Young, Alexandra L, Vos, Sjoerd B, Winston, Gavin P, Zhang, Yingying, Liu, Wenyu, An, Dongmei, Kanber, Baris, Zhou, Dong, Sander, Josemir W, Thom, Maria, Duncan, John S, Alexander, Daniel C, Galovic, Marian, Koepp, Matthias J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629797/
https://www.ncbi.nlm.nih.gov/pubmed/37807084
http://dx.doi.org/10.1093/brain/awad284

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629797/
https://www.ncbi.nlm.nih.gov/pubmed/37807084
http://dx.doi.org/10.1093/brain/awad284

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