G Shahaf1, T Fisher2, J Aharon-Peretz3, H Pratt4. 1. Neurology Department, Rambam Health Care Campus, Haifa, Israel. Electronic address: godeds@gmail.com. 2. Cognitive Neurology Unit, Rambam Health Care Campus, Haifa, Israel; Evoked Potentials Laboratory, Technion Israel Institute of Technology, Haifa, Israel. 3. Neurology Department, Rambam Health Care Campus, Haifa, Israel; Cognitive Neurology Unit, Rambam Health Care Campus, Haifa, Israel. 4. Evoked Potentials Laboratory, Technion Israel Institute of Technology, Haifa, Israel.
Abstract
BACKGROUND: Current basic or more advanced methods for analysis of averaged EEG/ERP are based on assumptions on the underlying processes, which are not necessarily precise. NEW METHOD: In this work we present the findings of a method which obviates such assumptions and aims at a comprehensive analysis of the averaged EEG/ERP signal. RESULTS: For the sake of demonstration we chose the established go/no-go paradigm in the context of ADHD. Our analysis method characterized two spatiotemporally distinct neurophysiologic processes which underlie the sampled signal: one which may be related to attention and the other which may be more related to perception. COMPARISON WITH EXISTING METHOD(S): We show how these processes accord with and provide insight on the waveforms reported in the literature. CONCLUSIONS: Finally we suggest that application of our method on averaged EEG/ERP data sampled from other paradigms may point at a similarly parsimonious set of underlying neurophysiologic processes which underlie the signal.
BACKGROUND: Current basic or more advanced methods for analysis of averaged EEG/ERP are based on assumptions on the underlying processes, which are not necessarily precise. NEW METHOD: In this work we present the findings of a method which obviates such assumptions and aims at a comprehensive analysis of the averaged EEG/ERP signal. RESULTS: For the sake of demonstration we chose the established go/no-go paradigm in the context of ADHD. Our analysis method characterized two spatiotemporally distinct neurophysiologic processes which underlie the sampled signal: one which may be related to attention and the other which may be more related to perception. COMPARISON WITH EXISTING METHOD(S): We show how these processes accord with and provide insight on the waveforms reported in the literature. CONCLUSIONS: Finally we suggest that application of our method on averaged EEG/ERP data sampled from other paradigms may point at a similarly parsimonious set of underlying neurophysiologic processes which underlie the signal.
Authors: Gadi Bartur; Katherin Joubran; Sara Peleg-Shani; Jean-Jacques Vatine; Goded Shahaf Journal: Biomed Res Int Date: 2017-09-24 Impact factor: 3.411
Authors: Christoph Berger; Juliane Müller-Godeffroy; Ivo Marx; Olaf Reis; Johannes Buchmann; Alexander Dück Journal: Brain Behav Date: 2018-11-12 Impact factor: 2.708