A Time-Warping Method for the Concentration of Nearly Periodic Signals in EEG Frequency Spectra.

Abstract

Event Abstract Back to Event A Time-Warping Method for the Concentration of Nearly Periodic Signals in EEG Frequency Spectra. Baptiste Chemin1*, Gan Huang1, 2 and André Mouraux1 1 Université catholique de Louvain, Institute of Neuroscience, Belgium 2 Sun Yat Sen University, China The frequency-tagging approach is a technique that is increasingly used to study the cortical activities related to rhythmic processes: the periodic activities appear as clear peaks in the EEG spectrum. However, many rhythms are not strictly periodic and rather have a period that fluctuates over time. The nearly periodic activities are blurred in the EEG spectrum, as the peaks are spread out to neighboring frequencies. Here, we introduce a time-warping method to align nearly-periodic EEG signals on a constant period and therefore concentrate the signal in the frequency spectrum. We applied this method to signals recorded in participants performing a repetitive finger tapping movement. When the signals are not time-warped, no peak significantly stand out from the background noise. In contrast, when the signals are time-warped, clear peaks are identified in the frequency spectrum with a topography contralateral to the tapping finger. Furthermore, we used the time-warping method to disentangle concurrent stream of auditory and motor signals recorded in participants tapping in synchrony with an acoustic rhythm. This was rendered possible by the fact that the neural activity related to the production of movements presents a unique pattern of period fluctuations that distinguishes it from the neural activity related to the processing of the auditory rhythm. The proposed time warping procedure thus appears as a simple and effective tool to study non strictly periodic neural processes related to rhythmic movement production, auditory rhythm perception and, more generally, sensorimotor synchronization. Keywords: SS-EP, EEG, frequency tagging, Rhythm perception, sensorimotor synchronization Conference: 12th National Congress of the Belgian Society for Neuroscience, Gent, Belgium, 22 May - 22 May, 2017. Presentation Type: Poster Presentation Topic: Sensory and Motor Systems Citation: Chemin B, Huang G and Mouraux A (2019). A Time-Warping Method for the Concentration of Nearly Periodic Signals in EEG Frequency Spectra.. Front. Neurosci. Conference Abstract: 12th National Congress of the Belgian Society for Neuroscience. doi: 10.3389/conf.fnins.2017.94.00066 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 24 Apr 2017; Published Online: 25 Jan 2019. * Correspondence: MD. Baptiste Chemin, Université catholique de Louvain, Institute of Neuroscience, Brussels, Belgium, baptiste.chemin@uclouvain.be Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Baptiste Chemin Gan Huang André Mouraux Google Baptiste Chemin Gan Huang André Mouraux Google Scholar Baptiste Chemin Gan Huang André Mouraux PubMed Baptiste Chemin Gan Huang André Mouraux Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.