This atlas gives the probability of finding various cortical folds or gray nuclei across a population.
- Probability maps
- Probability maps corresponding to a few anatomical landmarks (cortical folds) overlaid on a T1 template
- Outlines
- The outline at 50% of all the structures
- Labels location
- Location of sulcal labels mapped on a 3D representation of a refined version of the anatomical atlas (after a sulcuswise non-linear registration scheme).
- HBM 2011 poster
- A high-resolution full-brain probabilistic atlas of regions based on cortical folds
- Atlas of Sulci with nomenclature table
- Location of sulci named by their Brainvisa acronyms or their full anatomical names
Download the Atlas (nii.gz file, 71Mo, in MNI space, 2mm isotropic voxels): link
Table giving the names of the anatomical structures (csv file): link
References
Atlas estimationM. Perrot, D. Riviere, A. Tucholka, J.-F. Mangin: Joint Bayesian Cortical Sulci Recognition and Spatial Normalization, IPMI 2009 link
M. Perrot, D. Rivière, and J.-F. Mangin. Cortical sulci recognition and spatial normalization. Medical Image Analysis 2011 link
Applications
Defining anatomo-functional parcelsAlan Tucholka, Bertrand Thirion, Matthieu Perrot, Philippe Pinel, Jean-François Mangin and Jean-Baptiste Poline: Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions?, MICCAI 2008 link
Refining functional MRI analysis
Merlin Keller, Marc Lavielle, Matthieu Perrot and Alexis Roche. Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis. MICCAI 2009 link
Functional connectivity
Gaël Varoquaux, Alexandre Gramfort, Jean-Baptiste Poline, Bertrand Thirion. Brain covariance selection: better individual functional connectivity models using population prior. NIPS 2010
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