Time-frequency microstructure of event-related electro-encephalogram desynchronisation and synchronisation

A new method is presented for the analysis of event-related EEG phenomena, in particular event related desynchronisation (ERD) and event related synch ronisation (ERS) related to a voluntary movement; the method offers: high t ime-frequency resolution and, hence, increased ERD/ERS sensitivity (especia lly in the gamma band, where improvement can exceed an order of magnitude); the ability to analyse the whole picture of energy changes at once, withou t setting a priori the analysed frequency bands; and a parametric descripti on of the signal's structures. The main idea is based upon averaging energy distributions of single EEG trials in the time-frequency plane. As the est imator for the signal's energy density, matching pursuit is chosen, with st ochastic Gabor dictionaries. Other possible estimates are presented on a si mulated signal and discussed briefly. The consistency of the results with p revious findings is evaluated on the data from a classical voluntary finger movement experiment.