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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 (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.

A densely sampled longitudinal dataset from healthy infants

A large single-participant fMRI dataset for probing brain responses to naturalistic stimuli in space and time

Travelling Human Phantoms

Decoded Neurofeedback (DecNef) Project

Quantified Scientist: Tracking Myself

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

Canadian subject dataset (Csub)

Maclaren test-retest brain volume dataset

Day2day

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

MyConnectome

Kirby Weekly

MASSIVE

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

Yale Test-Retest Dataset

Yale High-Resolution Controls Dataset

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

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

A dataset with T1 and multiple task fMRI

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

Duke ScanRescanData

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 OASIS-3

A test–retest reliability analysis of diffusion measures

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

ISBI2015 Longitudinal Multiple Sclerosis Lesion Segmentation

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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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