Victor Férat

Results 38 comments of Victor Férat

Hey, The way microstate analysis is performed on ERPs is quite different from spontaneous activity: one major difference is that polarity is not ignored for ERPs (more details here: [A...

Hey Matt, Unfortunately, I don't know when we'll have time to work on this. However, if your aim is to use MNE data in Cartool, I can advise you to...

I don't think there is a specific Cartool file format for `Evoked `or `Epoched `data. A workaround would be to transform your `evoked `data into `raw `(see example with MNE...

The usual formula used in MS analysis: ![global-field-power-eqn-300x75](https://github.com/vferat/pycrostates/assets/28844486/54e818bb-4206-4222-9933-3d0dfbc14cb4) which is equals to`np.std` From [Numpy documentation](https://numpy.org/doc/stable/reference/generated/numpy.std.html): _The standard deviation is the square root of the average of the squared deviations from...

We might also need to use RMS for MEG data in our computations

As suggested in [taits 2022](https://www.sciencedirect.com/science/article/pii/S1053811922001355?via%3Dihub) we could use RMS for GFP calculation as well as cosine instead of correlations The main issue ( and it is the same for #93...

As `RMS` and `std` are equivalent in case of centered data, we can change GFP computation to always use RMS, and ensure that in case of EEG data, the average...

Yes I agree, the current implementation enforce centered data, and so everything words well for EEG. However, when [tait 2022](https://www.sciencedirect.com/science/article/pii/S1053811922001355) extend the definition of EEG microstates to MEG microstates, they...

Hey @Winter-LabHub, Thanks a lot for your feedback ! Using the min/max segment durations could be an interesting metric to validate the number of cluster centers. However, the data used...

Hey @Winter-Bot, - **half window size**: A window of `2 * half window size + 1` around each sample will be used to smooth the segmentation. The window size is...