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Due to system maintenance, the application system, application review by the Data Access Committee will be unavailable during the following period.
Schedule: October 5th (Mon), 2026, 9:00 - October 7th (Wed), 2026, 15:00 (JST)
We apologize for any inconvenience this may cause and appreciate your understanding.

We are currently receiving a large number of applications for data submission, and the review process is taking longer than usual.We sincerely apologize for the delay and kindly ask for your understanding. When submitting an application, we would greatly appreciate it if you could allow sufficient time for the processing.

Following a change to our organizational structure effective April 1, 2026, this division has been renamed from the "Database Center for Life Science, Joint Support-Center for Data Science Research" to the "Database Division for Life Science (DBCLS), BioData Science Initiative (BSI), National Institute of Genetics (NIG)". Where the former name still appears in the guidelines, please read it as the new name.

Research ID

hum0031-v1Release info

Latest

Research title

Constructing database of magnetic resonance imaging of the brain and the ancillary clinical information for multisite collaboration studies

Research overview

Aims
Constructing database of magnetic resonance imaging of the brain and the ancillary clinical information for multisite collaboration studies
Methods
T1-weighted whole-brain structural images with clinical information of individuals with schizophrenia, mood disorders (unipolar and bipolar disorders) and healthy controls were acquired at three clinical sites in Japan. The data were anonymized and checked for quality.
Participants/materials
176 cases (normal control: 129; schizophrenia: 37; unipolar disorder: 8; biporlar disorder: 2)
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000042Brain T1WI MRI and phantom MRI of normal control cases, together with clinical information such as age, gender, height, weight, period of education, handedness, and socioeconomic status.
  • MRI imaging
Controlled-access (Type I)2020-09-28
JGAD000043Brain T1WI MRI and phantom MRI of schizophrenia cases, together with clinical information such as age, gender, PANSS, duration of illness, and chlorpromazine equivalent dose.
  • MRI imaging
Controlled-access (Type I)2020-09-28
JGAD000044Brain T1WI MRI and phantom MRI of unipolar depression cases, together with clinical information such as age, gender, and Hamilton Depression Rating Scale.
  • MRI imaging
Controlled-access (Type I)2020-09-28
JGAD000045Brain T1WI MRI of bipolar disorder cases, together with clinical information such as age, gender, and Hamilton Depression Rating Scale.
  • MRI imaging
Controlled-access (Type I)2020-09-28
NHA000005Information on MRI equipments
  • MRI imaging
Unrestricted-access2015-11-20

Data provider

Principal investigator
Kiyoto Kasai
Affiliation
Department of Neuropsychiatry, Graduate School of Medicine, the University of Tokyo

Research projects

NameURL
Comprehensive Brain Science Network (CBSN)

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas
Comprehensive Brain Science Network
  • 221S0003
Life Science Database Integration Project (Database Integration Coordination Program) of Japan Science and Technology Agency
Study on integration of the human brain related diseases imaging data
N/A

Related publications

No related publications.

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
Yasuda Mikihiro理工学研究科 作元研究室, 関西学院大学JapanConstruction of a method for analyzing brain networks based on fMRI data2023-08-25 – 2025-01-23