Comments (2)
patrk
commented on June 12, 2024
Hi,
for any kind of significance testing you may need to calculate a sufficient number of connectivity matrices. For this you will need to use data from an experiment with multiple subjects.
Shuffling of edges does not make any sense but I would suggest you can also run multiple calculations varying some parameters.
Regarding permutation tests I admit I was not working in this field for too long, but spontaneously I believe the following paper is a good read:
https://par.nsf.gov/servlets/purl/10166206
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ErnestJohnston
commented on June 12, 2024
Thank you for this explanation. I'll look into it!
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Related Issues (17)
- Dimensions switched in documentation of code HOT 2
- Divide by zero in entropy calculations HOT 7
- Raise awareness on delay calculation HOT 1
- Raise awareness on issues and drawbacks by examples HOT 2
- Make use of numpy iterators in PTE calculation
- Update Readme, Documentation, gh-pages
- Publish code on PyPi
- Is get_delay correct? HOT 6
- Correctness of TE calculation
- IndexError HOT 3
- the definition of bin width HOT 7
- Delay Estimation Methods to Support Per-Channel Analysis and Explore More Robust Metrics
- Explore / implement more approaches to phase based TE
- Enhancements: NMM Examples, PTE Significance Testing, and More Sanity Checks
- Bug: Axes are switched HOT 8
- Semantic Release does not work in GH Actions
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