Skip to content

Latest commit

 

History

History
52 lines (30 loc) · 3.15 KB

index.md

File metadata and controls

52 lines (30 loc) · 3.15 KB

Extrinsic Connectivity Based Atlas

Guillermo Gallardo, Athena Team, INRIA.

guillermo dot gallardo-diez at inria dot fr

Atlas

We recently presented a technique to parcellate the human cortex based on its extrinsic connectivity (Gallardo et al 2016, Gallardo et al 2017) . Using this tehcnique, we computed a novel atlas of the human cortex. Here you can find our atlas and other resources related to it.

Gallardo G, Wells W III, Deriche R, Wassermann D (2016). Groupwise Structural Parcellation of the Cortex: A Sound Approach Based on Logistic Models. MICCAI 2016 Workshop on Computational Diffusion MRI, Oct 2016, Athens, Greece.

Gallardo G, Wells W III, Deriche R, Wassermann D (2017) Groupwise Structural Parcellation of the Cortex: A Sound Approach Based on Logistic Models. arxiv Prerpint arXiv:1701.01315

CIFTI VOLUME LABEL FILE over Colin27 Template

The Colin27 Template is a stereotaxic average of 27 T1-weighted MRI scans of the same individual.

Here you can download our parcellation projected over Colin27's T1 image:

The above image was created using fslview .

Parcellation on Colin27

These files can be opened using any software compatible with the NIFTI format

CIFTI VOLUME LABEL FILE over HCP's Subject 100307 (MNI Space)

To obtain brain connectivity maps of the highest quality, the Human Connectome Project (HCP) is using cutting-edge MR hardware, including new 3T and 7T MR scanners and customized head coils. MR data acquisition has been optimized through refinements to our pulse sequences and key pre-processing steps. Here you can download our parcellation projected over the T1 of subject 100307 from the HCP.

These files can be opened using any software compatible with the NIFTI format

CIFTI SURFACES (32k) and CIFTI LABEL FILE

CIFTI (Connectivity Informatics Technology Initiative) standardizes file formats for the storage of connectivity data. These formats are developed by the Human Connectome Project and other interested parties.

These files can be opened using Human Connectome's workbench