Abstract

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.

Measurement(s)

mental or behavioural disorder • brain measurement • Demographic Data

Technology Type(s)

functional magnetic resonance imaging • magnetic resonance imaging • Resting State Functional Connectivity Magnetic Resonance Imaging

Factor Type(s)

age • sex • site • disorder

Sample Characteristic - Organism

Homo sapiens

Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14716329

Details

Title
A multi-site, multi-disorder resting-state magnetic resonance image database
Author
Tanaka, Saori C 1   VIAFID ORCID Logo  ; Yamashita Ayumu 2   VIAFID ORCID Logo  ; Yahata Noriaki 3 ; Itahashi Takashi 4   VIAFID ORCID Logo  ; Lisi Giuseppe 5 ; Yamada, Takashi 6 ; Ichikawa Naho 7   VIAFID ORCID Logo  ; Takamura Masahiro 7   VIAFID ORCID Logo  ; Yoshihara Yujiro 8 ; Kunimatsu Akira 9   VIAFID ORCID Logo  ; Okada Naohiro 10 ; Hashimoto Ryuichiro 11   VIAFID ORCID Logo  ; Okada Go 12 ; Sakai Yuki 13 ; Morimoto, Jun 14 ; Narumoto Jin 15 ; Shimada Yasuhiro 16   VIAFID ORCID Logo  ; Mano Hiroaki 17 ; Yoshida Wako 18 ; Seymour, Ben 19 ; Shimizu Takeshi 20   VIAFID ORCID Logo  ; Hosomi Koichi 20 ; Saitoh Youichi 20 ; Kasai Kiyoto 10 ; Kato Nobumasa 4 ; Takahashi, Hidehiko 21 ; Okamoto Yasumasa 12 ; Yamashita Okito 22 ; Kawato Mitsuo 23   VIAFID ORCID Logo  ; Imamizu Hiroshi 24   VIAFID ORCID Logo 

1  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan 
2  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan; Boston University School of Medicine, Department of Psychiatry, Massachusetts, USA (GRID:grid.189504.1) (ISNI:0000 0004 1936 7558) 
3  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.189504.1); The University of Tokyo, Department of Neuropsychiatry, Graduate School of Medicine, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); National Institutes for Quantum and Radiological Science and Technology, Institute for Quantum Life Science, Chiba, Japan (GRID:grid.482503.8) (ISNI:0000 0004 5900 003X) 
4  Showa University, Medical Institute of Developmental Disabilities Research, Tokyo, Japan (GRID:grid.410714.7) (ISNI:0000 0000 8864 3422) 
5  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.410714.7) 
6  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.410714.7); Showa University, Medical Institute of Developmental Disabilities Research, Tokyo, Japan (GRID:grid.410714.7) (ISNI:0000 0000 8864 3422) 
7  Hiroshima University, Brain, Mind and KANSEI Sciences Research Center, Hiroshima, Japan (GRID:grid.257022.0) (ISNI:0000 0000 8711 3200) 
8  Kyoto University Graduate School of Medicine, Department of Psychiatry, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
9  The University of Tokyo, Department of Radiology, IMSUT Hospital, Institute of Medical Science, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); The University of Tokyo, Department of Radiology, Graduate School of Medicine, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
10  The University of Tokyo, Department of Neuropsychiatry, Graduate School of Medicine, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); The International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
11  Showa University, Medical Institute of Developmental Disabilities Research, Tokyo, Japan (GRID:grid.410714.7) (ISNI:0000 0000 8864 3422); Tokyo Metropolitan University, Department of Language Sciences, Tokyo, Japan (GRID:grid.265074.2) (ISNI:0000 0001 1090 2030) 
12  Hiroshima University, Department of Psychiatry and Neurosciences, Graduate School of Biomedical and Health Sciences, Hiroshima, Japan (GRID:grid.257022.0) (ISNI:0000 0000 8711 3200) 
13  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.257022.0); Kyoto Prefectural University of Medicine, Department of Psychiatry, Graduate School of Medical Science, Kyoto, Japan (GRID:grid.272458.e) (ISNI:0000 0001 0667 4960) 
14  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.272458.e); Kyoto University, Department of Systems Science, Graduate School of Informatics, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
15  Kyoto Prefectural University of Medicine, Department of Psychiatry, Graduate School of Medical Science, Kyoto, Japan (GRID:grid.272458.e) (ISNI:0000 0001 0667 4960) 
16  Brain Activity Imaging Center, ATR-Promotions Inc., Kyoto, Japan (GRID:grid.418163.9) (ISNI:0000 0001 2291 1583) 
17  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.418163.9); National Institute of Information and Communications Technology (NICT), Center for Information and Neural Networks (CiNet), Osaka, Japan (GRID:grid.28312.3a) (ISNI:0000 0001 0590 0962); Osaka University, Laboratory of Single Molecule Imaging, WPI Immunology Frontier Research Center, Osaka, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971) 
18  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.136593.b); Kyoto University, Department of Systems Science, Graduate School of Informatics, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
19  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.258799.8); National Institute of Information and Communications Technology (NICT), Center for Information and Neural Networks (CiNet), Osaka, Japan (GRID:grid.28312.3a) (ISNI:0000 0001 0590 0962); Osaka University, Laboratory of Single Molecule Imaging, WPI Immunology Frontier Research Center, Osaka, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971); University of Oxford, The Wellcome Centre for Integrative Neuroimaging, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
20  Osaka University Graduate School of Medicine, Department of Neuromodulation and Neurosurgery, Osaka, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971); Osaka University Graduate School of Medicine, Department of Neurosurgery, Osaka, Japan (GRID:grid.136593.b) (ISNI:0000 0004 0373 3971) 
21  Tokyo Medical and Dental University, Department of Psychiatry and Behavioral Sciences, Tokyo, Japan (GRID:grid.265073.5) (ISNI:0000 0001 1014 9130) 
22  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.257022.0); Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan (GRID:grid.7597.c) (ISNI:0000000094465255) 
23  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.7597.c); Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan (GRID:grid.7597.c) (ISNI:0000000094465255) 
24  Advanced Telecommunications Research Institutes International, Brain Information Communication Research Laboratory Group, Kyoto, Japan (GRID:grid.7597.c); The University of Tokyo, Department of Psychology, Graduate School of Humanities and Sociology, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41597-021-01004-8
ProQuest document ID
2566145510
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.