Abstract
The aim of this study was to analyse the high density EEG during movement execution guided by visual attention to reveal the detailed topographic distributions of delta and theta oscillations. Twenty right-handed young subjects performed a finger tapping task, paced by a continuously transited repeating visual stimuli. Baseline corrected power of scalp current density transformed EEG was statistically assessed with cluster-based permutation testing. Delta and theta activities revealed differences in their spatial properties at the time of finger tapping execution. Theta synchronization showed a contralateral double activation in the parietal and fronto-central regions, while delta activity appeared in the central contralateral channels. Differences in the spatiotemporal topography between delta and theta activity in the course of movement execution were identified on high density EEG.
Highlights
The relationship between voluntary movements and the corresponding bioelectric activities reflects fundamental mechanisms of cortical functions (Harmony 2013; Klimesch et al 2007; Pfurtscheller and Lopes da Silva 1999)
Event-related potentials (ERPs) potentials evoked by execution of voluntary movements are occasionally called movementrelated cortical potentials (Hallett 1994), or movementrelated potentials (MRP) (Georgiev et al 2016)
Two types of motion-induction are widely applied, i.e., self-induced voluntary tapping (Brunia et al 2012) where the EEG data are triggered to the movement onset, and Go/NoGo paradigms (Kirmizi-Alsan et al 2006) where the triggering event is the onset of the Go/ NoGo stimulus
Summary
The relationship between voluntary movements and the corresponding bioelectric activities reflects fundamental mechanisms of cortical functions (Harmony 2013; Klimesch et al 2007; Pfurtscheller and Lopes da Silva 1999). Two types of motion-induction are widely applied, i.e., self-induced voluntary tapping (Brunia et al 2012) where the EEG data are triggered to the movement onset, and Go/NoGo paradigms (Kirmizi-Alsan et al 2006) where the triggering event is the onset of the Go/ NoGo stimulus. The ERP can be regarded as a superposition of oscillations with different amplitude and phase aligned to the event (Pfurtscheller and Lopes da Silva 1999). To examine the detailed bioelectric characteristics of the oscillations, frequency decomposition separates the parallel activities superimposed in a well-defined time domain
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