Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition

Fiorenzo Artoni , Arnaud Delorme (1, 2) , Scott Makeig (3)

1 CERCO - Centre de recherche cerveau et cognition
2 Swartz Center for Computational Neurosciences
3 Swartz Center for Computational Neuroscience

Domaines: Neurosciences

Fiorenzo Artoni, Arnaud Delorme, Scott Makeig. Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition. NeuroImage, 2018, 175, pp.176--187. ⟨10.1016/j.neuroimage.2018.03.016⟩. ⟨hal-02341930⟩