Skip to content

MICA-MNI/hippomaps

 
 

Repository files navigation

Documentation Status Version

HippoMaps🍤

This is a toolbox and repository for open source mapping and contextualization of hippocampal data, paralleling surface-based mapping of the neocortex. This is partnered with a repository of mapped data at OSF.

Documentation📝

See here for installation instructions, details on all tools provided, and tutorial walkthroughs.

Overview👁️

HippoMaps provides tools for mapping data the folded and unfolded hippocampus are designed to work seamlessly with outputs generated by HippUnfold.

In the tutorials, we provide examples for mapping:

  • laminar ex-vivo histology at the microscale
  • structural MRI at 3T and 7T
  • resting state fMRI properties and connectivity
  • spatially scattered intracranial EEG (iEEG) recodings
  • task-fMRI data mapping with nilearn
  • comparison between maps and dimensionality reduction

These tutorials provide clear examples of how the tools here can be used, but for shorter examples and usage notes, see also demos.

Updates🛠️

Surfaces from Hippunfold version 2 are now supported and can be interpolated between version 1 ('0p5mm', '1mm', '2mm', 'unfoldiso') and 2 ('2k', '8k', '18k') densities using the density_interp function

Other relevant repositories🗂️

hippunfold

hippunfold_toolbox

Hippo_Spin_Testing

BrainSpace

micapipe

Eigenstrapping

Citing HippoMaps📝

DeKraker, J., Cabalo, D. G., Royer, J., Khan, A. R., Karat, B., Benkarim, O., ... & Bernhardt, B. C. (2024). HippoMaps: Multiscale cartography of the human hippocampal formation. bioRxiv, 2024-02. link

For use of additional data in the OSF repo, please cite the original authors of each map.

Join the Open Source Adventure!🚀

No contribution is too small! Whether you're fixing a bug, adding a feature, or improving documentation, every contribution counts!

About

Toolbox and data repository for hippocampal surface data

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.9%
  • Other 0.1%