From 703a678c6fdacfdcb67f35952227e3106bf8bfcb Mon Sep 17 00:00:00 2001 From: Kate Date: Sun, 31 May 2026 19:27:37 +0400 Subject: [PATCH] Add 16 missing datasets: Asian cohorts, traveling-subjects, ultra-high-field, global New entries covering previously absent regions and categories: Asian cohorts: - SRPBS Traveling Subject MRI (Japan, 9 subjects x 12 scanners x 143 sessions) - SRPBS Multi-disorder MRI (Japan, 993 patients + 1421 HC, 12 sites) - J-ADNI (Japan, 537 subjects, ADNI protocol longitudinal) - KBASE (Korea, ~500 CN/MCI/AD, single-center longitudinal) - CHIMGEN (China, 7000+ subjects, 33 sites, imaging genetics) - CCNP / devCCNP (China, 1520 target, lifespan accelerated longitudinal) - SLIM (China, ~600 students, 3 longitudinal timepoints) Traveling-subjects / multi-site: - ON-Harmony 2025 (20 subjects x 6 scanners x 3 vendors, OpenNeuro, BIDS) Motion / reliability: - MR-ART (148 adults x 3 T1: still / low-motion / high-motion, OpenNeuro) - MICA-MICs (50 adults, 2 T1 + qT1 per subject, 3T, OpenNeuro) Ultra-high field / ex-vivo: - AHEAD (105 subjects, 7T submillimeter qMRI, 18-80 yr, open figshare) - Edlow 100-micron ex-vivo (1 cadaver brain, 100 um iso, 7T, 100h scan, open) Global coverage: - BrainLat (780 participants, 5 Latin American countries, open Sci Data 2023) - Nigerian Clinical-MRI (88 subjects HC/dementia/PD, open Sci Data 2025) - IBID (Iran, 300 healthy, 20-70 yr, ENIGMA member, multimodal) - Czech Brain Aging Study (longitudinal, Prague, multi-site) --- README.md | 216 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 216 insertions(+) diff --git a/README.md b/README.md index ae50eb1..e7dc09d 100644 --- a/README.md +++ b/README.md @@ -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