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This repository is for the study of AEC vs wPLI and their relation to the classification of consciousness

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AEC & wPLI Comparison

This repository is for the study of AEC and wPLI functional connectivity metric and their relation to the classification of consciousness. The code found here has been iteratively improved and each iteration representing a milestone in the analysis journey.

  • Milestone #0 First Attempt at Classification : This is the first minimal viable analysis that was bootstrapped with the data we had and initial iteration of the analysis techniques.
  • Milestone #1 MAIN 2019 Poster Presentation : This is the first outreach initiative for this analysis. We augmented the fist attempt with a graph theory analysis. The abstract that was submitted was selected for a 2 min student talk.
  • Milestone #2 OHBM 2020 Poster Presentation : The analysis presented at the MAIN 2019 conference was augmented and pushed even further. The conference was remote so we could present the result in a video. Two were produced: a short one of about 3 minute and a longer one of about 25 minutes.
  • Milestone #3 Yacine final Pipeline : This milestone contains a full analysis pipeline for the exploration of wPLI, AEC, different parameters and thresholding methods
  • Milestone #4 Neuroimage_submission_2021 : This milestone contains the pipeline used for the most recent submission at Neuroimage journal. It only contains code and material used for this submission. Earlier experimentations, further parameters and methods can be found in milestone 3.

Supporting documents like abstract, paper or posters can be found in each of the milestone under the /doc directory.

Repository Structure

In this repository we have adopted a iterative milestone approach. Meaning that the code was built and improved by trying to hit a clear objecive that make the analysis better. The most up to date analysis is the one with the highest integer prefix, but all previous iteration are present to ensure that all prior experiments are available without going back into the git history.

Each milestone code contains a README.md file that explains in greater details how the analysis function and how to make it run.

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This repository is for the study of AEC vs wPLI and their relation to the classification of consciousness

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