Electrophysiological Brain Connectivity: Theory and Implementation
In this tutorial paper, we describe the theoretical basis, computational algorithms, and applications of dynamic functional brain connectivity analysis from electromagnetic measurements, including electroencephalography (EEG), magnetoencephalography (MEG), electrocorticography (ECoG), and stereoelectroencephalography (SEEG). Various connectivity estimators are discussed, and algorithms introduced. The merits, limitations, and needs for future development are also discussed. The tutorial will serve both new comers and practitioners working on brain connectivity analysis.
Time-Frequency Strategies for Increasing High-Frequency Oscillation Detectability in Intracerebral EEG
High-frequency oscillations (HFOs) are considered to be a good marker of the tissues which have to be removed. We investigated several methods to flatten (i.e. whiten) the spectrum to improve HFO detectability. Our method, the H0 z-score, provides an optimal framework for representing and detecting HFOs, independent of a baseline and a priori frequency bands.