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EduCortex is an educational browser-based visualization tool that allows the user to enter any functional or anatomical term (e.g., "visual", "face", "motion", "precuneus") and visualize the parts of the brain that are most associated with that term. The process can also be reversed, where the user can click anywhere on the brain to see what terms are most associated with the selected brain region. Using principal components analysis, we also display the functional terms that explained the most variance across all activation maps. This tool works through the combination of Neurosynth, a large-scale, automated database of fMRI papers, and PyCortex, an interactive 3D brain visualizer.
EduCortex can be accessed without installation as an online webviewer, see EduCortexViewer.
If you want to use EduCortex locally, take the following steps:
- clone repository
git clone https://github.com/PaulScotti/educortex
- move into the cloned repository
cd educortex
- install the list of required dependencies (see https://github.com/gallantlab/pycortex if having trouble with pycortex)
pip install -r requirements.txt
- follow steps in runMappingViz.ipynb
This project repository is set up in the following way:
runMappingViz.ipynbis a Jupyter Notebook that details the steps used to load Neurosynth data and project maps onto fsaverage brain using Pycortexmy_template.htmlis the html template used by runMappingViz.ipynb to add CSS & javascript elements to the Pycortex viewerindex.htmlis the final webpage that hosts the viewer--note that if you create your own index.html via runMappingViz.ipynb, it will lack some features contained in the index.html hosted on this github repository (e.g., no welcome pop-up, no enable/disable wordcloud buttons, etc.)data/contains .png files, each of which is a meta-analysis map from Neurosynth which gets projected onto the fsaverage 3D brain in EduCortexatlases/contains annotation files which can be used to create anatomical labels in EduCortex (from Glasser et al. (2016) and Huth et al., (2016))PCA/containsPCA_extraction.ipynb(the code used to create the PCA components across Neurosynth meta-analysis maps) and pngs for the three wordclouds used in EduCortexpaper/contains files used for our manuscript submission to the Journal of Open Source Education (https://jose.theoj.org/)
Contributions are welcome, feel free to open an issue or do a pull request. Please use the GitHub issue tracker for filing bugs and asking questions.
Paul Scotti, Arman Kulkarni, Matan Mazor, Eduard Klapwijk, Tal Yarkoni, Alex Huth