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

• 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

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

• 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

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

• 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

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

• 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

• 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

• 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

• 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?

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

• 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.

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

• 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

• 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

• 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

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).