Parkinson’s disease: deep learning with a parameter-weighted structural connectome matrix for diagnosis and neural circuit disorder investigation

PURPOSE: To investigate whether Parkinson’s disease (PD) can be differentiated from healthy controls and to identify neural circuit disorders in PD by applying a deep learning technique to parameter-weighted and number of streamlines (NOS)–based structural connectome matrices calculated from diffusi...

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Detalles Bibliográficos
Autores principales: Yasaka, Koichiro, Kamagata, Koji, Ogawa, Takashi, Hatano, Taku, Takeshige-Amano, Haruka, Ogaki, Kotaro, Andica, Christina, Akai, Hiroyuki, Kunimatsu, Akira, Uchida, Wataru, Hattori, Nobutaka, Aoki, Shigeki, Abe, Osamu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Diagnostic Neuroradiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376710/
https://www.ncbi.nlm.nih.gov/pubmed/33481071
http://dx.doi.org/10.1007/s00234-021-02648-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376710/
https://www.ncbi.nlm.nih.gov/pubmed/33481071
http://dx.doi.org/10.1007/s00234-021-02648-4

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