A list of brain imaging databases with multiple (e.g., more than 3) scans per subject. Feel free to update the list via 'pull requests'.
- a densely sampled longitudinal dataset with 210 serial MRI scans from 43 healthy infants, with each infant being scheduled to have 7 longitudinal scans at around 1, 3, 6, 9, 12, 18, and 24 mo of age
- https://doi.org/10.1073/pnas.1821523116
- Subjects
- N = 43
- males & females
- age range: 1-24 month
- Data
- MRI
- 7 repetitions, at around 1, 3, 6, 9, 12, 18, and 24 mo of age
- Siemens 3T
- Data not open, https://doi.org/10.1073/pnas.1821523116
A large single-participant fMRI dataset for probing brain responses to naturalistic stimuli in space and time
- A large single-participant fMRI dataset for probing brain responses to naturalistic stimuli in space and time
- https://www.biorxiv.org/content/10.1101/687681v1
- Subjects
- N = 1
- male
- age range: 27.5
- Data
- MRI, fMRI
- 22 repetitions, between April 2017 and December 2017
- Siemens 3T MAGNETOM Prisma
- https://doi.org/10.1101/687681
- A longitudinal human phantom reliability study of multi-center T1-weighted, DTI, and resting state fMRI data
- https://www.sciencedirect.com/science/article/pii/S0925492717302883
- Subjects
- N = 4
- male
- age range: 34-59
- Data
- MRI, dMRI, rsfMRI
- 3/6/6/9 scans on 5 scaners in 3 years
- various scanners
- Hawco, Colin, et al. "A longitudinal human phantom reliability study of multi-center T1-weighted, DTI, and resting state fMRI data." Psychiatry Research: Neuroimaging 282 (2018): 134-142.
- TRAVELING SUBJECTS DATA
- https://bicr-resource.atr.jp/decnefpro/
- Subjects
- N = 9
- male
- age range: 24–32 y; mean age: 27 ± 2.6 y
- Data
- MRI, rsfMRI
- scanned at each of 12 sites
- GE, SIEMENS, Philips
- Yamashita, Ayumu, et al. "Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias." PLOS Biology 17.4 (2019): e3000042.
- Quantified Scientist: Tracking Myself
- https://www.pintofscience.nl/nijmegen-quantified-scientist-track
- Subjects
- N = 1
- male
- a PhD student
- Data
- Brain MRI, EEG
- Rob started about 1.5 years ago and has spent about 11 hours a week measuring things
- https://www.evernote.com/l/ALvoejuj8OdPpos0YVuCKS9iIaiAUIupnn0
- a sample of convenience of one healthy male aged between 29 and 46 years old, scanned in 73 sessions at multiple sites and with various scanner models
- http://fcon_1000.projects.nitrc.org/indi/retro/SIMON.html
- Subjects
- N = 1
- male
- 29-46 years old
- Data
- multiple sites and with various scanner models
- sMRI, rsfMRI, dMRI, ASL, ...
- scanned in 73 sessions at
- http://fcon_1000.projects.nitrc.org/indi/retro/SIMON.html
- A single individual over 2.5 years, 13 sites and 3 vendors
- No link so far
- Subjects
- N = 1
- male
- 42 years old
- Data
- 13 sites, 3T Philips, Siemens and GE
- sMRI, rsfMRI
- 25 scanning sessions
- Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors, doi: https://doi.org/10.1101/497743
- Maclaren test-retest brain volume dataset
- https://openfmri.org/dataset/ds000239/
- Subjects
- N = 3
- 1 female, 2 males
- 26, 30, 31 years old
- Data
- 3T GE
- sMRI
- 20 scans
- Maclaren, Julian, et al. "Reliability of brain volume measurements: A test-retest dataset." Scientific data 1 (2014): 140037.
- Day2day: investigating daily variability of magnetic resonance imaging measures over half a year
- Email to authors of https://bmcneurosci.biomedcentral.com/articles/10.1186/s12868-017-0383-y
- Subjects
- N = 8
- 6 female, 2 males
- 24-32 years old
- Data
- 3T Siemens
- sMRI, rsfMRI, T2 Hippocampus, DTI, MRS
- 11-50 scans
- Filevich, Elisa, et al. "Day2day: investigating daily variability of magnetic resonance imaging measures over half a year." BMC neuroscience 18.1 (2017): 65.
- Center for Cognition and Brain Disorders (CCBD) at Hangzhou Normal University
- 10.6084/m9.figshare.2007483
- Subjects
- N = 30
- 15 females, 15 males
- 20 to 30 years old
- Data
- 3T GE
- sMRI, rsfMRI
- 10 scans
- Chen, Bing, et al. "Individual variability and test-retest reliability revealed by ten repeated resting-state brain scans over one month." PLoS One 10.12 (2015): e0144963.
- Healthy Brain Network Serial Scanning Initiative (HBN-SSI)
- http://fcon_1000.projects.nitrc.org/indi/hbn_ssi/index.html
- Subjects
- N = 13
- 8 females, 5 males
- 21 to 42 years old (18-45 years old)
- Data
- 1.5T Siemens
- sMRI, rsfMRI, task fMRI, DKI
- -14 scans
- O’Connor, David, et al. "The Healthy Brain Network Serial Scanning Initiative: a resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions." GigaScience 6.2 (2017): 1-14.
- The MyConnectome project
- http://myconnectome.org/wp/
- Subjects
- N = 1
- Male
- 45 years old
- Data
- 3T Siemens
- sMRI, rsfMRI, task fMRI, T2
- 104 scans
- Poldrack, Russell A., et al. "Long-term neural and physiological phenotyping of a single human." Nature communications 6 (2015): 8885.
- Single-subject Resting state fMRI Reproducibility Resource
- http://www.nitrc.org/projects/kirbyweekly
- Subjects
- N = 1
- Male
- 40 years old
- Data
- 3T Philips
- sMRI, rsfMRI
- 158 scans
- Choe, Ann S., et al. "Reproducibility and temporal structure in weekly resting-state fMRI over a period of 3.5 years." PloS one 10.10 (2015): e0140134.
- Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation
- http://www.massive-data.org/
- Subjects
- N = 1
- Female
- 25 years old
- Data
- 3 Tesla system (Philips Achieva)
- sMRI, dMRI
- 18 different occasions
- Froeling, Martijn, et al. "“MASSIVE” brain dataset: Multiple acquisitions for standardization of structural imaging validation and evaluation." Magnetic resonance in medicine 77.5 (2017): 1797-1809.
- National Taiwan University Hospital
- No download link
- Subjects
- N = 34
- 19 females, 15 males
- 34-85 years old
- Data
- 1.5T & 3T, GE & Siemens
- sMRI
- 10-24 scans
- Yang, Chung-Yi, et al. "Reproducibility of brain morphometry from short-term repeat clinical MRI examinations: a retrospective study." PloS one 11.1 (2016): e0146913.
- ?
- No download link
- Subjects
- N = 8
- 4 females, 4 males
- 26.9 ± 4.3 years
- Data
- 8 3 T MR scanners with 3 different machine models across the United States and Canada
- sMRI, rsfMRI
- 16 scans
- Cao, Hengyi, et al. "Toward Leveraging Human Connectomic Data in Large Consortia: Generalizability of fMRI-Based Brain Graphs Across Sites, Sessions, and Paradigms." Cerebral Cortex (2018).
- Sites
- Emory University
- Harvard University
- University of Calgary
- University of California Los Angeles (UCLA)
- University of California San Diego (UCSD)
- University of North Carolina Chapel Hill (UNC)
- Yale University
- Zucker Hillside Hospital (ZHH)
- ?
- No download link
- Subjects
- N = 8
- Data
- 3T scanners/ 8 healthy adults acted as traveling phantoms, and were scanned twice at each of the four sites
- 1.5 T Siemens Sonata at UA, 3 T Siemens Trio at QU and UM, and 3 T Philips Intera at UBC
- Long, Xiangyu, et al. "Sensorimotor network alterations in children and youth with prenatal alcohol exposure." Human brain mapping (2018).
- Sites
- University of Alberta (UA)
- Queen's University (QU)
- University of Manitoba (UM)
- University of British Columbia (UBC)
- The Midnight Scan Club (MSC) dataset
- https://openfmri.org/dataset/ds000224/
- Subjects
- N = 10
- 5 females, 5 males
- 24-34 years old
- Data
- 3T Siemens
- sMRI, T2, MRA, MRV, rsfMRI, task fMRI
- 4 scans for sMRI/T2/MRA, 8 scans for MRV, 10 scans for rsfMRI/task fMRI
- Gordon, Evan M., et al. "Precision Functional Mapping of Individual Human Brains." Neuron (2017).
- Yale Test-Retest Dataset
- http://fcon_1000.projects.nitrc.org/indi/retro/yale_trt.html
- Subjects
- N = 12
- Data
- T1 and rsfMRI
- 144 min of functional data was collected for each subject (4 sessions/subject × 6 runs/session × 6 min/run)
- Noble, S., Spann, M. N., Tokoglu, F., Shen, X., Constable, R. T., & Scheinost, D. (2017). Influences on the test–retest reliability of functional connectivity MRI and its relationship with behavioral utility. Cerebral Cortex, 27(11), 5415-5429.
- Yale High-Resolution Controls Dataset
- http://fcon_1000.projects.nitrc.org/indi/retro/yale_hires.html
- Subjects
- N = 120
- Data
- T1 and rsfMRI
- 717 functional scans (120 subjects x 6 runs/subject - 3 missing runs)
- 240 anatomical scans (120 subjects x 2 scans/subject)
- Finn, E. S., Shen, X., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., ... & Constable, R. T. (2015). Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nature neuroscience, 18(11), 1664.
- Yale Low-Resolution Controls Dataset
- http://fcon_1000.projects.nitrc.org/indi/retro/yale_lowres.html
- Subjects
- N = 100
- Data
- T1 and rsfMRI
- 800 functional scans (100 subjects x 8 runs/subject)
- 200 anatomical scans (100 subjects x 2 scans/subject)
- BOLD5000: A public fMRI dataset of 5000 images
- https://bold5000.github.io/index.html
- Subjects
- N = 4
- Data
- 3T Siemens
- 15 fMRI sessions + 1 T1 and diffusion session
- fMRI dataset collected on 4 subjects, each observing 5,254 images
- https://arxiv.org/abs/1809.01281
- Reproducibility of quantitative structural and physiological MRI measurements
- Subjects
- N = 25
- 5 females, 20 males
- 18-41 years old
- Data
- 3T Siemens
- sMRI, dMRI, T2, ASL, MRS
- 3 scans
- McGuire, Stephen A., et al. "Reproducibility of quantitative structural and physiological MRI measurements." Brain and Behavior (2017).
- This repository contains neuroimaging data of Taylor Hanayik since 2015 (age 24).
- https://github.com/hanayik/Taylor-Hanayik-Brain-Scans
- Subjects
- N = 1
- Data
- plan to collect at least one structural image per month
- ref?
- Subject
- N = 1, female
- One patient with the diagnosis of migraine
- Data
- 3 T MRI scanner
- fMRI + T1
- Schulte, Laura H., and Arne May. "The migraine generator revisited: continuous scanning of the migraine cycle over 30 days and three spontaneous attacks." Brain 139.7 (2016): 1987-1993.
- Longitudinal project, from Leiden University
- https://www.biorxiv.org/content/early/2018/08/06/278358
- Subjects
- N = 240+, both male and female
- One patient with the diagnosis of migraine
- Data
- 3 T MRI scanner
- T1
- three scans, with ~2 year intervals
- Klapwijk, Eduard T., et al. "Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data."
- This data package contains single-trial ERPs from 4 participants, each tested in 10 sessions on 10 different days.
- https://figshare.com/articles/A_dataset_for_the_test-retest_reliability_assessment_of_EEG_ERP_quantities/2068626
- Subject
- N = 4
- Data
- Biosemi data in BDF format were recorded from 128 electrodes at 512 Hz.
- Single subject fMRI test–retest reliability metrics and confounding factors
- https://www.sciencedirect.com/science/article/pii/S1053811912010890?via%3Dihub
- Subject
- N = 10, 50-58 years
- 2 sessions, T1 and 4 tasks in each session
- Data
- GE 1.5T
- T1 & task fMRI
- two/three days apart
- Gorgolewski, Krzysztof J., et al. "Single subject fMRI test–retest reliability metrics and confounding factors." Neuroimage 69 (2013): 231-243.
- Multi-parametric neuroimaging reproducibility: A 3-T resource study
- Subject
- N = 21, 11M/10F
- 22-61 years old
- Data
- multiple paramatric scanning
- T1, DTI, rs-fMRI, ASL, & QT1, QT2, et al.
- Landman, Bennett A., et al. "Multi-parametric neuroimaging reproducibility: a 3-T resource study." Neuroimage 54.4 (2011): 2854-2866.
A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures
- A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures
- http://openscience.cbs.mpg.de/7t_trt/
- Subject
- N = 22, 12M/10F
- 21-30
- Data
- 7T scanner
- T1, rs-fMRI, and prefrontal submillimeter (0.75mm, TR=4s) rs-fMRI scan
- two sessions, multiple scans per session
- Gorgolewski, Krzysztof J., et al. "A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures." Scientific data 2 (2015): 140054.
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3782252/
- Subject
- N = 23, 9 females
- mean age 23.3, sd = 3.3
- Data
- 3T scanner
- T1
- 4 scans, 7-9 days apart between 1-2 and 3-4
- Morey, Rajendra A., et al. "Scan–rescan reliability of subcortical brain volumes derived from automated segmentation." Human brain mapping 31.11 (2010): 1751-1762.
- Open Access Series of Imaging Studies (OASIS), cross-sectional MRI data
- https://www.oasis-brains.org/
- Subject
- N = 416, 20 with re-scans in 90 days
- 18-96 years old
- Data
- 1.5 T
- T1
- 3-4 scanns in each sessions, 20 subjects with two sessions
- Marcus, Daniel S., et al. "Open Access Series of Imaging Studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults." Journal of cognitive neuroscience 19.9 (2007): 1498-1507.
- OASIS Longitudinal
- https://www.oasis-brains.org/
- Subject
- N = 150
- 60-96 years old
- Data
- 1.5 T scanner
- T1
- two or more scans, at least one year (183-1707 day intervals)
- Marcus, Daniel S., et al. "Open access series of imaging studies: longitudinal MRI data in nondemented and demented older adults." Journal of cognitive neuroscience 22.12 (2010): 2677-2684.
- OASIS-3: Longitudinal Neuroimaging, Clinical, and Cognitive Dataset for Normal Aging and Alzheimer’s Disease
- https://www.oasis-brains.org/
- Subject
- N = 1098
- 42-95 years old
- Data
-
2000 sessions
- T1, DTI, rs-fMRI, ASL, PET
-
- https://www.oasis-brains.org/
- A test–retest reliability analysis of diffusion measures
- http://www.nitrc.org/projects/dwi_test-retest/.
- Subject
- N = 34, 18 females
- 19.17-35.67 years old
- Data
- 3T scanner
- T1, DWI
- scanned twice on a single day, subsample of N = 15 had a third session in same day and a 2-week follow-up
- Boekel, W., B. U. Forstmann, and M. C. Keuken. "A test‐retest reliability analysis of diffusion measures of white matter tracts relevant for cognitive control." Psychophysiology 54.1 (2017): 24-33.
- Collected with high diffusion-weighting angular resolution and repeated measurements at multiple diffusion-weighting strengths
- https://purl.stanford.edu/ng782rw8378
- Subjects
- N =2
- 2 males, age 27 and 36
- Data
- 3T GE
- dMRI
- 2 scans in each of b=1000, 2000, 4000
- Rokem et al. (2015) "Evaluating the Accuracy of Diffusion MRI Models in White Matter" http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0123272
- Three subjects were scanned on a General Electric 3T MRI scanner. All subjects underwent 100 functional runs
- https://openneuro.org/datasets/ds001553/versions/1.0.0
- Subjects
- N =3
- 1 males, 2 females
- age= 27(2.5) years
- right handed
- Data
- General Electric 3T MRI scanner
- task and resting-state fMRI
- 100 functional runs, which consisted of five blocks of stimulation (20 s: flickering checkerboard at 8 Hz + letter/number discrimination task) and 40 s of rest
- Gonzalez-Castillo, Javier, et al. "Whole-brain, time-locked activation with simple tasks revealed using massive averaging and model-free analysis." Proceedings of the National Academy of Sciences (2012): 201121049.
- Individual brain charting: high resolution mapping of 12 human brains
- https://project.inria.fr/IBC/
- https://openfmri.org/dataset/ds000244/
- Subjects
- N = 12
- 10 males, 2 females
- age between 26 and 40 years old (median = 34.5 years)
- Data
- Siemens 3T
- T1/T2/dMRI/task fMRI
- multiple tasks for each subject, Spatial, Standard, Social, Emotional, Emotion, Gambling, Motor, Language, Relational, WM
- Pinho, Ana Luísa, et al. "Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping." Scientific data 5 (2018).