Skip to content

Add 16 missing datasets: Asian cohorts, traveling-subjects, ultra-high-field, global coverage #8

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
kondratevakate wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Add 16 missing datasets: Asian cohorts, traveling-subjects, ultra-high-field, global coverage #8

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
216 changes: 216 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -494,3 +494,219 @@ A list of brain imaging databases with multiple (e.g., more than 3) scans per su
* T1/T2/FLAIR/PD
* each subject has 4 ~ 6 time-point scans
* Carass, A., Roy, S., et al. (2017). Longitudinal multiple sclerosis lesion segmentation: Resource and challenge. NeuroImage, 148, 77–102

---
*The following datasets were added in 2026 to expand coverage of Asian cohorts, traveling-subject harmonization resources, ultra-high-field references, and previously missing entries from Latin America, Africa, and Eastern Europe.*

### SRPBS Traveling Subject MRI Dataset (Japan, ATR)
* Asia primary traveling-subjects harmonization resource — 9 healthy subjects scanned at 12 sites (143 sessions total)
* https://bicr-resource.atr.jp/srpbsts/
* Subjects
* N = 9 (traveling)
* male
* age range: 24-32 y; mean age: 27 +/- 2.6 y
* Data
* sMRI, rsfMRI
* 143 sessions at 12 facilities across Japan
* GE, SIEMENS, Philips (mixed field strengths)
* Application (same form as SRPBS Multi-disorder dataset)
* Tanaka, S.C., et al. "A multi-site, multi-disorder resting-state magnetic resonance image database." Scientific Data 8 (2021): 227. https://doi.org/10.1038/s41597-021-00897-9

### SRPBS Multi-disorder MRI Dataset (Japan, ATR)
* 993 patients + 1421 healthy controls across 12 Japanese sites; MDD, SCZ, ASD, OCD
* https://bicr-resource.atr.jp/srpbsopen/
* Subjects
* N = 2414 (993 patients: MDD, SCZ, ASD, OCD + 1421 HC)
* mixed sex
* adults
* Data
* sMRI, rsfMRI
* 12 sites across Japan
* GE, SIEMENS, Philips
* Application (non-commercial) via https://bicr-resource.atr.jp/decnefpro/
* Tanaka, S.C., et al. "A multi-site, multi-disorder resting-state magnetic resonance image database." Scientific Data 8 (2021): 227. https://doi.org/10.1038/s41597-021-00897-9

### J-ADNI (Japanese Alzheimer Disease Neuroimaging Initiative)
* Japanese mirror of ADNI protocol; longitudinal T1 + PET + CSF biomarkers
* https://humandbs.dbcls.jp/en/hum0043-v1
* Subjects
* N = 537 (HC + MCI + AD)
* mixed sex
* older adults
* Data
* sMRI, PET (amyloid/FDG), CSF
* multi-year longitudinal (ADNI protocol)
* 3T
* Application via NBDC Human Database (Japan Science and Technology Agency)

### KBASE (Korean Brain Aging Study)
* Korean ADNI equivalent; single-center (Seoul National University Hospital), T1 + PET longitudinal
* https://dss.niagads.org/cohorts/korean-brain-aging-study-for-the-early-diagnosis-and-prediction-of-ad-kbase/
* Subjects
* N = ~500 (CN + MCI + AD)
* mixed sex
* age range: 20-90 years old
* Data
* sMRI, PET (amyloid, tau, FDG), blood biomarkers
* multi-year longitudinal
* 3T (single center, reduces inter-site variance)
* Application via NIAGADS / SNU
* Byun, M.S., et al. "Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease." Psychiatry Investigation 14.6 (2017): 851-863.

### CHIMGEN (Chinese Imaging Genetics cohort)
* Largest Chinese neuroimaging genetics cohort; 33 sites across China
* https://www.nature.com/articles/s41380-019-0627-6
* Subjects
* N = 7000+ (target 10,000) healthy Chinese Han adults
* mixed sex
* age range: 18-30 years old
* Data
* sMRI, DTI, rsfMRI, DKI, ASL
* cross-sectional; longitudinal recall planned
* 3T, 33 centers
* Consortium collaboration application
* Xu, Q., et al. "CHIMGEN: a Chinese imaging genetics cohort to enhance cross-ethnic and cross-geographic brain research." Molecular Psychiatry 25 (2020): 517-529. https://doi.org/10.1038/s41380-019-0627-6

### Chinese Color Nest Project (CCNP) -- devCCNP
* Accelerated longitudinal lifespan cohort; 6-90 years; three waves; naturalistic viewing included
* https://www.nature.com/articles/s41597-023-02377-8
* Subjects
* N = 1520 target (devCCNP: 6-18 yr N=369 enrolled; matCCNP: 20-60 yr; ageCCNP: 60-84 yr)
* mixed sex
* age range: 6-90 years old
* Data
* sMRI, rsfMRI, dMRI, naturalistic viewing fMRI (devCCNP)
* 3 repeated measurements (accelerated longitudinal design)
* 3T (BNU + CAS sites)
* National Science Data Bank (data sharing on request)
* Liu, S.Y., et al. "A longitudinal resource for population neuroscience of school-age children and adolescents in China." Scientific Data 10 (2023): 545. https://doi.org/10.1038/s41597-023-02377-8

### SLIM (Southwest University Longitudinal Imaging Multimodal)
* 3 longitudinal timepoints on Chinese university students; structural + resting-state
* http://fcon_1000.projects.nitrc.org/indi/retro/southwestuni_qiu_index.html
* Subjects
* N = ~600 students
* mixed sex
* college age
* Data
* sMRI, rsfMRI
* 3 timepoints
* 3T
* Open via INDI

### ON-Harmony (2025) -- multi-site multi-modal traveling-heads
* 20 traveling subjects x 6 scanners x 3 vendors; newest open traveling-heads resource
* https://openneuro.org/datasets/ds004712
* Subjects
* N = 20
* mixed sex
* adults
* Data
* T1w, T2w, SWI, fMRI, dMRI
* 6 x 3T scanners (GE, Siemens, Philips)
* BIDS on OpenNeuro
* Open (OpenNeuro, BIDS)
* Published in Nature Scientific Data 2025. https://doi.org/10.18112/openneuro.ds004712.v2.0.1

### MR-ART (Movement-Related ARTefacts dataset)
* 148 healthy adults x 3 T1 scans: still / low-motion / high-motion -- controlled artifact study
* https://openneuro.org/datasets/ds004173
* Subjects
* N = 148
* mixed sex
* adult lifespan
* Data
* T1-weighted structural MRI (3 scans per subject: STAND / HM1 / HM2)
* 3T; BIDS on OpenNeuro
* Open (OpenNeuro)
* Published in Scientific Data 2022. https://doi.org/10.1038/s41597-022-01694-8

### MICA-MICs (Microstructure-Informed Connectomics)
* 50 healthy adults; 2 T1 + quantitative qT1 per subject; high-res multimodal
* https://openneuro.org/datasets/ds003634
* Subjects
* N = 50
* 23 females, 27 males
* mean age: 29.54 +/- 5.62 years
* Data
* T1w x 2 per subject, qT1, rsfMRI, dMRI
* 3T; BIDS on OpenNeuro
* Open (OpenNeuro)
* Published in Scientific Data 2022. https://doi.org/10.1038/s41597-022-01682-y

### AHEAD (Amsterdam Ultra-high field Adult Lifespan Database)
* 105 subjects x 7T submillimeter quantitative MRI; 18-80 years
* https://uvaauas.figshare.com/articles/dataset/_/10007840
* Subjects
* N = 105
* mixed sex
* age range: 18-80 years old
* Data
* T1 quantitative (MP2RAGE), 0.7 mm iso; v2: 0.5 mm slab covering subcortex
* 7T
* Open (figshare)
* Alkemade, A., et al. "The Amsterdam Ultra-high field adult lifespan database (AHEAD)." NeuroImage 221 (2020): 117200.

### Edlow 100-micron ex-vivo brain (7T)
* Single postmortem brain at 100 um isotropic resolution; 100 hours of scanning
* https://www.nature.com/articles/s41597-019-0254-8
* Subjects
* N = 1 (female cadaver, 58 years old)
* Data
* T1-weighted (FLASH, 100 um isotropic)
* 7T; 100 hours scan time (25 h x 4 flip angles)
* Open (figshare + IDC via NCI)
* Edlow, B.L., et al. "7 Tesla MRI of the ex vivo human brain at 100 micron resolution." Scientific Data 6 (2019): 244. https://doi.org/10.1038/s41597-019-0254-8

### BrainLat (Latin America) -- multimodal neurodegeneration
* 780 participants x 5 Latin American countries; first open multimodal neuroimaging dataset from the region
* https://www.nature.com/articles/s41597-023-02806-8
* Subjects
* N = 780 (530 patients: AD, bvFTD, MS, PD; 250 HC)
* mixed sex
* adults
* Data
* sMRI, rsfMRI, dMRI, high-density EEG
* multi-site (Argentina, Chile, Colombia, Brazil, Ecuador)
* 3T
* Open (Scientific Data 2023)
* Parra, M.A., et al. "The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds." Scientific Data 10 (2023): 889.

### Nigerian Clinical-MRI Dataset
* 88 clinical-grade MRI scans from Nigeria; first open labeled African brain MRI dataset
* https://www.nature.com/articles/s41597-025-04743-0
* Subjects
* N = 88 (35 HC, 31 dementia, 22 PD)
* mixed sex
* older adults
* Data
* T1w, T2w, FLAIR (clinical quality)
* 1.5T/3T
* Open (Scientific Data 2025)
* Ogbole, G.I., et al. "A labeled Clinical-MRI dataset of Nigerian brains." Scientific Data 12 (2025). https://doi.org/10.1038/s41597-025-04743-0

### IBID (Iranian Brain Imaging Database)
* 300 healthy Iranians (20-70 yr), balanced by decade; multimodal; ENIGMA member
* http://niag.tums.ac.ir/
* Subjects
* N = 300
* 50% female
* age range: 20-70 years old (equal per decade)
* Data
* sMRI, rsfMRI, dMRI, cognitive tests
* 3T
* Application via NBML (National Brain Mapping Lab, Tehran)
* Ekhtiari, H., et al. "Iranian Brain Imaging Database: A Neuropsychiatric Database of Healthy Brain." Frontiers in Neuroinformatics 15 (2021). https://doi.org/10.3389/fninf.2021.672370

### Czech Brain Aging Study (CBAS)
* Longitudinal MRI study of brain atrophy and white matter changes; only longitudinal study of its kind in Czech Republic
* http://www.cbas.cz/
* Subjects
* N = growing (multi-site Prague recruitment)
* mixed sex
* adults
* Data
* sMRI, dMRI, rsfMRI (subset)
* longitudinal
* 3T (Charles University / Motol University Hospital)
* Application via Charles University, Prague