Accurate and representative atlases of brain hold the most promise for helping to create a comprehensive understanding of brain in health and disease. An enormous amount of efforts has been made to develop human brain atlas or database. However, most of these atlases focus on the brain structure rather than the brain function.
A collection of Brain atlases are distributed in good faith and to the best of our knowledge accurately represent brain structure, function and physiology.
- Brain Architecture Project: http://brainarchitecture.org
The Brain Architecture Project is a collaborative effort aimed at creating an integrated resource containing knowledge about nervous system architecture in multiple species, with a focus on mouse and human.
- McGill MNI152 atlas: http://www.bic.mni.mcgill.ca/ServicesAtlases/ICBM152NLin2009
MNI152 atlas consists of an average of T1-weighted MRIs of normal young adult brains, linearly and non-linearly (6 iterations) transformed to the Talairach space.
- LONI atlas: http://www.loni.usc.edu/atlases/
LONI atlases consist of a series of atlases including the diverse template and probabilistic maps of anatomic regions for human, monkey, and mouse brain.
- Allen Brain Atlas: http://www.brain-map.org/
The Allen Brain Atlases developed by the Allen Institute for Brain Science seek to combine genomics with neuroanatomy by creating gene expression maps for the mouse and human brain.
- Brain Map: http://www.brainmap.org/
BrainMap is a database of published functional and structural neuroimaging experiments with coordinate-based results (x,y,z) in Talairach or MNI space.
- BigBrain: https://bigbrain.loris.ca/main.php,
BigBrain a freely accessible high-resolution 3D digital atlas of the human brain
- Jubrain: https://www.jubrain.fz-juelich.de/
The JuBrain atlas contains probabilistic maps of cytoarchitectonically defined cortical areas and subcortical nuclei, and allow the interpretation of in vivo neuroimaging data on a sound microstructural basis.
- Brede Database: http://neuro.imm.dtu.dk/services/jerne/brede/
Brede Database is a neuroinformatics database with results from published neuroimaging studies. It features search on Talairach coordinates.
- SumsDB(Surface Management System Database) and WebCaret: http://sumsdb.wustl.edu
SumsDB is a repository of neuroimaging data (surfaces & volumes; structural & functional data), mainly from humans and macaques but also mouse, rat, and great apes. WebCaret is an online visualization tool for viewing SumsDB datasets. Visit the Tool/Resource Home Page for more information.
- OpenfMRI Project: https://openfmri.org/?
OpenfMRI.org is a project dedicated to the free and open sharing of functional magnetic resonance imaging (fMRI) datasets, including raw data.
- Neuroimaging Data Access Group (NIDAG): http://www.nidag.org/
The NeuroImaging Data Access Group (NIDAG) is an informal working group, dedicated to improving access to neuroimaging results in a free and open-access manner.
- Alzheimer’s Disease Neuroimaging Initiative (ADNI): http://www.adni-info.org/
The Alzheimer’s Disease Neuroimaging Initiative (ADNI) unites researchers with study data as they work to define the progression of Alzheimer’s disease. ADNI researchers collect, validate and utilize data such as MRI and PET images, genetics, cognitive tests, CSF and blood biomarkers as predictors for the disease.
- Open Access Series of Imaging Studies (OASIS): http://www.oasis-brains.org/
The Open Access Series of Imaging Studies (OASIS) is a project aimed at making MRI data sets of the brain freely available to the scientific community. By compiling and freely distributing MRI data sets.
- 1000 Functional Connectome Project (FCON1000): http://fcon_1000.projects.nitrc.org/
1000 Functional Connectome Project is a neuroimaging database of resting-state functional magnetic resonance imaging data.
- Human Connectome Project (HCP): http://www.humanconnectomeproject.org/
The Human Connectome Project is an effort to map the neural pathways that underlie human brain function. The purpose of the Project is to acquire and share data about the structural and functional connectivity of the human brain.