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OpenFMRI
Serves as a repository for the open sharing and dissemination of task-based functional magnetic resonance imaging (fMRI) data. OpenFMRI allows user to share uncurated datasets (clearly labeled as such) while they are in the process of curation. It can be used as a repository for neuroimaging data. Most of the datasets in the database are associated with publications. The database uses the Brain Imaging Data Structure (BIDS) format as its standard format for shared and curated datasets.
UK Biobank
Collects extensive phenotypic and genotypic detail about a very large, population-based prospective study. UK Biobank aims to encourage and provide as wide access as possible to its data and samples for health-related research in the public interest by all bona fide researchers from the academic, charity, public, and commercial sectors. The database aims to improve the prevention, diagnosis and treatment of a wide range of serious and life-threatening illnesses – including cancer, heart diseases, stroke, diabetes, arthritis, osteoporosis, eye disorders, depression and forms of dementia.
DICCCOL / Dense Individualized and Common Connectivity-based Cortical Landmarks
Consists of a dense and consistent map of 358 cortical landmarks. Each DICCCOL is defined by group-wise consistent white-matter fiber connection patterns derived from diffusion tensor imaging (DTI) data. These 358 landmarks are remarkably reproducible over more than one hundred human brains and possess accurate intrinsically established structural and functional cross-subject correspondences validated by large-scale functional magnetic resonance imaging data. In particular, these 358 cortical landmarks can be accurately and efficiently predicted in a new single brain with DTI data. Thus, this set of 358 DICCCOL landmarks comprehensively encodes the common structural and functional cortical architectures, providing opportunities for many applications in brain science including mapping human brain connectomes.
MRM NeAt / Magnetic Resonance Microimaging Neurological Atlas
Consists of an adult male C57BL/6J mouse brain atlas database based on T2*-weighted 3D magnetic resonance microscopy images. MRM NeAt includes multiple brain samples with T2*-weighted 3D magnetic resonance microscopy images, individual 3D digital anatomical atlases and associated quantitative structural information, probabilistic atlases, minimal Deformation (Average Shape) Atlas, a visualization tool, as well as 3D in vivo MRM based C57BL/6J atlases.
BRAINS Imagebank / Brain Images of Normal Subjects Imagebank
A collection of anonymised images and associated clinical data. BRAINS Imagebank includes ‘normal’ individuals at all ages (from prenatal to old age). The data were collected from individuals participating in healthy volunteer studies, or control groups. The imagebank is a searchable database of integrated data sets already collected as part of research studies which include healthy (or control) subjects. New data will be added as they become available. These studies include detailed MRI using a range of sequences, and associated data, e.g. pregnancy details (for neonatal data), demographic details, current and prior socioeconomic status, education, health, medication use and cognitive tests.
Neurodevelopmental MRI Database
Consists of average magnetic resonance imaging (MRI) templates, segmented partial volume estimate volumes for GM, WM, T2W-derived CSF. Neurodevelopmental MRI Database is a database of average MRIs and associated MRI volumes for developmental MRI work. The database is separated into head-based and brain-based averages. The templates are grouped into first year (2 weeks through 12 months), early childhood (15 months through 4 years), childhood (4 years through 10 years), adolescence (10.5 years through 17.5 years) and adults (18 years through 89 years).
The MRI Standard Brain of Japanese Macaque Monkey
Is used for spatially normalising Japanese macaque brains into a standard space. The MRI Standard Brain of Japanese Macaque Monkey template is based on T1/T2 weighted, high-resolution 4 T Magnetic resonance (MR) images obtained from 16 male adult Japanese macaque monkeys. T1/T2* images were used to correct the signal inequalities resulting from the use of a surface coil. Based on these images, population-averaged probability maps were created for grey matter, white matter and cerebrospinal fluid. This database would be useful for other possible applications in which accurate registration of the individual data to a species-specific template is required, such as for voxel-based morphometry (VBM) analyses, for accurate electrode tip placements both for recording and stimulation of the brain, and for three dimensional registration of fMRI data using surface brain maps.
Huntington's Disease Animal Models
An MRI database for animal models of Huntington disease. The Cambridge MRI repository comprising 400 datasets to date from mouse models of Huntington disease. The data include raw images as well as segmented grey and white matter images with maps of cortical thickness. All images and phenotypic data for each subject are freely-available without restriction, software and anatomical population templates optimised for animal brain analysis with MRI are also available.
Radiogenomics
A comprehensive radiogenomic study to explore the association between multi-platform genomic profiles and MRI-based tumor phenotypes for breast invasive carcinoma. Radiogenomics integrates data from The Cancer Genome Atlas with MRI data from The Cancer Imaging Archive for 91 breast invasive carcinomas. Quantitative MRI phenotypes of tumors (such as tumor size, shape, margin, and blood flow kinetics) were associated with their corresponding molecular profiles (including DNA mutation, miRNA expression, protein expression, pathway gene expression and copy number variation). Transcriptional activities of various genetic pathways were positively associated with tumor size, blurred tumor margin, and irregular tumor shape and that miRNA expressions were associated with the tumor size and enhancement texture, but not with other types of radiomic phenotypes. These findings pave potential paths for the discovery of genetic mechanisms regulating specific tumor phenotypes and for improving MRI techniques as potential non-invasive approaches to probe the cancer molecular status.
Longitudinal MR image database of Multiple Sclerosis patients with white matter lesion change segmentation
Provides a database of brain images. "Longitudinal Magnetic Resonance (MR) images of patients with Multiple Sclerosis (MS) with corresponding ground truth segmentations of white matter lesion change segmentation" is a database where images are grouped into folders for each patient. It also offers an objective evaluation of the main steps (computation of DM, segmentation of DM and postprocessing) common to intensity-based change detection methods.
Day2day
Provides a large number of scans for multiple individuals. Day2day contains additional sequences and further behavioural covariates. It was created thanks to 8 volunteers that were scanned 40-50 times over the course of 6-8 months. This dataset is comparable and complementary to the MyConnectome project and others of this nature. It was constructed with the aim to quantify intra-individual variability in different measures of brain structure and function, characterize its time course, and identify its potential sources.
SCMR Consensus Contour Data / Society for Cardiovascular Magnetic Resonance Consensus Contour Data
Provides a picture library of cardiovascular magnetic resonance (CMR) images. SCMR Consensus Contour Data is composed of images from healthy volunteers, patients with myocardial infarction, heart failure, and Left ventricular (LV) hypertrophy. The database intends to provide a resource for the assessment of new readers on contouring CMR images for both multi-center analyses and benchmarking automated methods.
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