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

• Published in: Scientific data Vol. 8; no. 1; pp. 227 - 15
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 30.08.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/378/3920; 692/53/2421; 692/699/375; 692/699/476; Adult; Brain - diagnostic imaging; Brain mapping; Data Descriptor; Databases, Factual; Datasets; Female; Functional magnetic resonance imaging; Humanities and Social Sciences; Humans; Learning algorithms; Machine Learning; Magnetic Resonance Imaging; Male; Medical imaging; Mental disorders; Mental Disorders - diagnostic imaging; Middle Aged; multidisciplinary; Neural networks; Neuroimaging; Patients; Science; Science (multidisciplinary); Young Adult

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...