Visualization of significant ERD/ERS patterns in multichannel EEG and ECoG data.

By Bernhard Graimann, J. Huggins, S.P. Levine, Gert Pfurtscheller. Clinical Neurophysiology, 2002

312 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b86262560073a9c752e45de07fcc564169865a99

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In Cognitive Neuroscience

Citations in the corpus

Seperability of four-class motor imagery data using independent components analysis (2006, methodology): “In order to find optimal feature sets, components extracted by the ICA algorithms were visually examined with the help of timefrequency maps (Graimann et al 2002) and topographic maps (Delorme and Makeig 2004) with the goal of finding important and unnecessary components.”
Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. (2005, methodology): “In a first step of analysis, the EEG data were subjected to an ERD/ERS time–frequency analysis [10] for purpose of convenient data inspection.”
Motor imagery and action observation: modulation of sensorimotor brain rhythms during mental control of a brain-computer interface. (2009, background): “The resulting ERD/ERS maps represent plots of significant ERD (percentage band power decrease) and ERS (power increase) in narrow bands within a given frequency range (e.g., 6–40 Hz; for further details see Graimann et al., 2002).”
Theta and Gamma Oscillations during Encoding Predict Subsequent Recall (2003, methodology): “…estimate of the type I error rate using a bootstrap procedure (Efron, 1979), a method often used to handle correlations among statistical comparisons of electrophysiological measures (Lachaux et al., 1999; De Gennaro et al., 2000; Graimann et al., 2002; Howard et al., 2003; Rizzuto et al., 2003).”
Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks (2006, methodology): “This procedure was carried out for overlapping (by 1 Hz) 2-Hz bands in the frequency range between 6 and 42 Hz (for details, see Graimann et al., 2002).”
Two-dimensional movement control using electrocorticographic signals in humans (2008, result): “The results were consistent with current understanding of the effects of different tasks on ECoG [23– 28, 31, 32].”
ERD/ERS patterns reflecting sensorimotor activation and deactivation. (2006, methodology): “…stimulation-induced) vs. longlasting processes (i.e., movement execution and motor imagery), we used in this study a combined approach of (i) ERD/ERS time frequency analysis (Graimann et al., 2002) and (ii) analyses of taskrelated power decreases/increases (TRPD/TRPI; Gerloff and Hallett, 1999).”