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2 years ago Dear @ViniciusLima94, we added your project on the BHM2021 website. :tada: Please check if all the information are correct, and tell us if you would like to change something. Ruggero
Project info
Title: Integration of the single-trial time-resolved spectral connectivity (coherence; PLV) in Frites
Project lead and collaborators: Lima, Vinicius; Combrisson, Etienne (@kNearNeighbors)(@EtienneCmb)
Description: The synchronization of the activity from distinct brain areas has been proposed to be one of the mechanisms by which them integrate while processing similar inputs in order to exchange information or encode the stimulus (Buzsaki G.,2006; Fries P., 2015). Based on this hypothesis, the time-course of the functional connectivity (dFC) can be measured from brain signals using metrics that capture their phase-relation such as the cross-spectra, the phase-locking value (PLV), and the coherence (Bastos A.M., Schoffelen J.M. 2006). Additionally, apart from estimating those metrics in a time-resolved manner, in order to be able to relate the dynamics of the phase-coupling and task-related behavioral events, it is also relevant to assess the dFC at single-trial level, hence, avoiding averaging out non-phase-locked bursts of synchronization that are present in the dFC and may correspond to brain states relevant to determining, for instance, whether the information is being encoded during cognitive tasks by the coordinated activity of multiple cortical areas.
Currently, xfrites - the testing repository associated to Frites (https://brainets.github.io/frites/) - has a function that estimates dFC in terms of the aforementioned metrics. For the present project, we aim to integrate it with FRITES and, more specifically, we aim to improve the documentation of the function, refine the current implementation and include code for unit testing. Other goals are to implement notebooks with examples that allow the user to have a better understanding of how to first, set the parameters to estimate the spectral connectivity and seconds, to interpret the metric's outcome, what are its advantages and drawbacks.
keywords: Communication through coherence; spectral analysis; wavelet coherence; dynamic functional connectivity.
Goals for Brainhack Marseille
Skills:
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Project submission
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