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A list of brain imaging datasets with multiple scans per subject. Feel free to update the list via 'pull requests'!

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multiBrain

A list of brain imaging databases with multiple scans per subject. Feel free to update the list via 'pull requests'.

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.

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).

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.

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).

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)

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