Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder

Predicting the therapeutic result of repetitive transcranial magnetic stimulation (rTMS) treatment could save time and costs as ineffective treatment can be avoided. To this end, we presented a machine-learning-based strategy for classifying patients with major depression disorder (MDD) into respond...

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Detalles Bibliográficos
Autores principales: Ebrahimzadeh, Elias, Fayaz, Farahnaz, Rajabion, Lila, Seraji, Masoud, Aflaki, Fatemeh, Hammoud, Ahmad, Taghizadeh, Zahra, Asgarinejad, Mostafa, Soltanian-Zadeh, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034109/
https://www.ncbi.nlm.nih.gov/pubmed/36968455
http://dx.doi.org/10.3389/fnsys.2023.919977

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034109/
https://www.ncbi.nlm.nih.gov/pubmed/36968455
http://dx.doi.org/10.3389/fnsys.2023.919977

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