A multi-site, multi-disorder resting-state magnetic resonance image database

Machine learning classifiers for psychiatric disorders using resting-state functional magnetic resonance imaging (rs-fMRI) have recently attracted attention as a method for directly examining relationships between neural circuits and psychiatric disorders. To develop accurate and generalizable class...

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Detalles Bibliográficos
Autores principales: Tanaka, Saori C., Yamashita, Ayumu, Yahata, Noriaki, Itahashi, Takashi, Lisi, Giuseppe, Yamada, Takashi, Ichikawa, Naho, Takamura, Masahiro, Yoshihara, Yujiro, Kunimatsu, Akira, Okada, Naohiro, Hashimoto, Ryuichiro, Okada, Go, Sakai, Yuki, Morimoto, Jun, Narumoto, Jin, Shimada, Yasuhiro, Mano, Hiroaki, Yoshida, Wako, Seymour, Ben, Shimizu, Takeshi, Hosomi, Koichi, Saitoh, Youichi, Kasai, Kiyoto, Kato, Nobumasa, Takahashi, Hidehiko, Okamoto, Yasumasa, Yamashita, Okito, Kawato, Mitsuo, Imamizu, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405782/
https://www.ncbi.nlm.nih.gov/pubmed/34462444
http://dx.doi.org/10.1038/s41597-021-01004-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405782/
https://www.ncbi.nlm.nih.gov/pubmed/34462444
http://dx.doi.org/10.1038/s41597-021-01004-8

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