Dynamic graphics for high-density EEG data using R

Authors

GERŠLOVÁ Zdeňka LAMOŠ Martin KATINA Stanislav

Year of publication 2024
Type Conference abstract
Citation
Description The presentation introduces some possibilities of making dynamic and interactive graphics in HD-EEG filed using statistical software R. The interactive elements can be applied at every step of the data analysis from preprocessing and exploratory analysis to model results. An animation enables to follow the change in brain activity (on the head model or on its projection) both in time and space. The developed methods are illustrated on the examples of HD-EEG recordings during a simple visual motor task in Parkinson’s disease patients and a healthy controls. Subjects were instructed to press the response button in case of target visual stimulus presentation. The activity of the brain motor circuits are then evaluated and compared between subject groups.
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