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multiBrain

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 single female subject that was scanned for 30 consecutive days.

  • Functional reorganization of brain networks across the human menstrual cycle https://doi.org/10.1101/866913
  • Subjects
    • N = 1
    • female
    • age: 23 years old
  • Data
    • MRI/fMRI/Behavioral assessments/Endocrine procedures
    • The participant underwent daily testing for 30 consecutive days
    • Siemens 3T Prisma
  • MRI data, code, and daily behavioral assessments will be publicly accessible upon publication.
  • https://doi.org/10.1101/866913

A densely sampled longitudinal dataset from healthy infants

  • 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

Travelling Human Phantoms

  • 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.

Decoded Neurofeedback (DecNef) Project

  • 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

The Single Individual volunteer for Multiple Observations across Networks (SIMON) MRI dataset

Canadian subject dataset (Csub)

  • 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

  • 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

  • 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.

CCBD

  • 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.

HBN-SSI

  • 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.

MyConnectome

  • 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.

Kirby Weekly

  • 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.

MASSIVE

  • 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

  • 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.

A sample of 8 healthy traveling subjects

  • ?
  • 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)

8 healthy traveling subjects

  • ?
  • 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)

MSC

  • 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

  • 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

  • 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

BOLD5000

Reproducibility of quantitative structural and physiological MRI measurements

  • 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).

The brain scans of Taylor Hanayik

Continuous scanning of the migraine cycle over 30 days

  • 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.

The BrainTime study

  • 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."

A dataset for the test-retest reliability assessment of EEG & ERP quantities

A dataset with T1 and multiple task fMRI

  • 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

  • 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.

Duke ScanRescanData

  • 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)

  • 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

  • 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 Longitudinal OASIS-3

A test–retest reliability analysis of diffusion measures

  • 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.

Human brain diffusion-weighted MRI

100 runs at 3T

  • 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

  • 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).