Multidisorder MRI
The 3T MRI imaging data from 1410 participants
collected at 11 sites.


The dataset contains the following files.

(1) Brain imaging dataset (data/sub-*/{rsfmri, t1, fmap}) [NIFTI format]
- Resting-state functional image
- T1-weighted structural image
- Fieldmap (optional)

- Explanation of dataset

(3) Participant demographic information (participants.tsv)
- Including ID, age, sex, hand, diagnosis, clinical rating scales

(4) Supplemental demographic information for each site (sup*.tsv)
- Including ID, age, sex, hand, diagnosis, additional clinical rating scales

(5) MRI protocols (MRI_protocols_{rsMRI, T1w}.tsv)
- Scanning parameters for rs-fMRI and T1w

(6) QC results (group_{bold, T1w}.tsv)
- Outputs of MRIQC for rs-fMRI and T1w

(7) Evaluation of deface quality (deface_QC.tsv)
- Rating scales of quality of defaced T1w

├── data
│    ├── sub-*
│    │   ├── rsfmri
│    │   ├── t1
│    │   └── fmap
│    ...
├── README.txt
├── participants.tsv
├── sup1.tsv
├── sup2.tsv
├── sup3.tsv
├── sup4.tsv
├── sup5.tsv
├── sup6.tsv
├── sup8.tsv
├── sup9.tsv
├── MRI_protocols_rsMRI.tsv
├── MRI_protocols_T1w.tsv
├── group_bold.tsv
├── group_T1w.tsv
└── deface_QC.tsv


Please refer to our published paper for detailed methods;
- Tanaka, S.C., Yamashita, A., Yahata, N. et al. A multi-site, multi-disorder resting-state magnetic resonance image database. Sci Data 8, 227 (2021).


Data Download

* MD5 hash : 3b5b3746c3a68e8cd86870288dab9a94
* As file size is large ( 75.4GB ), downloading takes time.
* This file is stored in Amazon S3 Service.


Program code of deface (face-masking) for anatomical MRI images

To avoid identifying individual participant by reconstruction of face surface from the structural MRI data of our datasets, we performed face-masking calculation. This code removes the subject's face from the MRI structure image (NIfTI format: .nii). This is written in MATLAB and internally uses SPM8 and mri_deface.

Github page :

History of update


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