@article{oai:repo.qst.go.jp:00084729,
 author = {C Tanaka, Saori and Yamashita, Ayumu and Yahata, Noriaki and Itahashi, Takashi and Lisi, Giuseppe and Yamada, Takashi and Ichikawa, Naho and Takamura, Masahiro and Yoshihara, Yujiro and Kunimatsu, Akira and Okada, Naohiro and Hashimoto, Ryuichiro and Okada, Go and Sakai, Yuki and Morimoto, Jun and Narumoto, Jin and Shimada, Yasuhiro and Mano, Hiroaki and Yoshida, Wako and Seymour, Ben and Shimizu, Takeshi and Hosomi, Koichi and Saitoh, Youichi and Kasai, Kiyoto and Kato, Nobumasa and Takahashi, Hidehiko and Okamoto, Yasumasa and Yamashita, Okito and Kawato, Mitsuo and Imamizu, Hiroshi and Noriaki, Yahata},
 issue = {1},
 journal = {Scientific data},
 month = {Jan},
 note = {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 classifiers, we compiled a large-scale, multi-site, multi-disorder neuroimaging database. The database comprises resting-state fMRI and structural images of the brain from 993 patients and 1,421 healthy individuals, as well as demographic information such as age, sex, and clinical rating scales. To harmonize the multi-site data, nine healthy participants ("traveling subjects") visited the sites from which the above datasets were obtained and underwent neuroimaging with 12 scanners. All participants consented to having their data shared and analyzed at multiple medical and research institutions participating in the project, and 706 patients and 1,122 healthy individuals consented to having their data disclosed. Finally, we have published four datasets: 1) the SRPBS Multi-disorder Connectivity Dataset 2), the SRPBS Multi-disorder MRI Dataset (restricted), 3) the SRPBS Multi-disorder MRI Dataset (unrestricted), and 4) the SRPBS Traveling Subject MRI Dataset.},
 title = {A multi-site, multi-disorder resting-state magnetic resonance image database.},
 volume = {8},
 year = {2021}
}