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Short description and the goals for the OHBM BrainHack
Classical approaches to studying neuroanatomy rely on statistical inferences at individual points (voxels or vertices), clusters of points, or a priori regions-of-interest (ROIs) and thus, they are restricted to a single spatial resolution scale. We develop an approach, called mode-based morphometry (MBM), that can be used to describe any empirical map of anatomical variations in terms of the fundamental, resonant modes––eigenmodes––of brain anatomy. This approach naturally yields a multiscale characterization of the empirical map, affording new opportunities for investigating the spatial frequency content of neuroanatomical variability.
We have developed a toolbox for this approach in Matlab. Depending on the expertise of participants, our goals for BrainHack are to make the toolbox more user-friendly, add more features, and translate it to Python.
Coding skills
They will be tasks for different skills ranging from just starting coding on Matlab, wanting to try GUI on Matlab, to Premier League. Pythoneers are also welcomed.
Non-coding skills
It is not all about coding! Are you someone with a good flair for good visualization? Someone with more experience who can make a good user interface? Someone who knows how to develop good, tidy and clear documentation?
@TrangCMonash can you provide the content and/or figure for this project to be added to Brainhack Proceeding 2023 by 15th May? Also, please remember to fill out your team member's details using this form: https://forms.gle/Ku3AVHcXvpUqVVkV7 . Cheers
Title
Mode-based morphometry (MBM)
Short description and the goals for the OHBM BrainHack
Classical approaches to studying neuroanatomy rely on statistical inferences at individual points (voxels or vertices), clusters of points, or a priori regions-of-interest (ROIs) and thus, they are restricted to a single spatial resolution scale. We develop an approach, called mode-based morphometry (MBM), that can be used to describe any empirical map of anatomical variations in terms of the fundamental, resonant modes––eigenmodes––of brain anatomy. This approach naturally yields a multiscale characterization of the empirical map, affording new opportunities for investigating the spatial frequency content of neuroanatomical variability.
We have developed a toolbox for this approach in Matlab. Depending on the expertise of participants, our goals for BrainHack are to make the toolbox more user-friendly, add more features, and translate it to Python.
Link to the Project
https://github.com/NSBLab/MBM
Image for the OHBM brainhack website
No response
Project lead
Name: Trang Cao
GitHub: https://github.com/NSBLab
Discord: trangcao.
Main Hub
Montreal
Other Hub covered by the leaders
Skills
Coding skills
They will be tasks for different skills ranging from just starting coding on Matlab, wanting to try GUI on Matlab, to Premier League. Pythoneers are also welcomed.
Non-coding skills
It is not all about coding! Are you someone with a good flair for good visualization? Someone with more experience who can make a good user interface? Someone who knows how to develop good, tidy and clear documentation?
Recommended tutorials for new contributors
Good first issues
No response
Twitter summary
No response
Short name for the Discord chat channel (~15 chars)
MBM
Please read and follow the OHBM Code of Conduct
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