Literature DB >> 22138125

The time course of symbolic number adaptation: oscillatory EEG activity and event-related potential analysis.

Yi-Fang Hsu1, Dénes Szűcs.   

Abstract

Several functional magnetic resonance imaging (fMRI) studies have used neural adaptation paradigms to detect anatomical locations of brain activity related to number processing. However, currently not much is known about the temporal structure of number adaptation. In the present study, we used electroencephalography (EEG) to elucidate the time course of neural events in symbolic number adaptation. The numerical distance of deviants relative to standards was manipulated. In order to avoid perceptual confounds, all levels of deviants consisted of perceptually identical stimuli. Multiple successive numerical distance effects were detected in event-related potentials (ERPs). Analysis of oscillatory activity further showed at least two distinct stages of neural processes involved in the automatic analysis of numerical magnitude, with the earlier effect emerging at around 200ms and the later effect appearing at around 400ms. The findings support for the hypothesis that numerical magnitude processing involves a succession of cognitive events. Crown
Copyright © 2011. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 22138125     DOI: 10.1016/j.neuroimage.2011.11.017

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  6 in total

1.  Tones and numbers: a combined EEG-MEG study on the effects of musical expertise in magnitude comparisons of audiovisual stimuli.

Authors:  Evangelos Paraskevopoulos; Anja Kuchenbuch; Sibylle C Herholz; Nikolaos Foroglou; Panagiotis Bamidis; Christo Pantev
Journal:  Hum Brain Mapp       Date:  2014-06-11       Impact factor: 5.038

2.  Electrophysiological evidence for the involvement of the approximate number system in preschoolers' processing of spoken number words.

Authors:  Michal Pinhas; Sarah E Donohue; Marty G Woldorff; Elizabeth M Brannon
Journal:  J Cogn Neurosci       Date:  2014-04-04       Impact factor: 3.225

3.  Neural adaptation to non-symbolic number and visual shape: an electrophysiological study.

Authors:  Fruzsina Soltész; Dénes Szűcs
Journal:  Biol Psychol       Date:  2014-09-23       Impact factor: 3.251

4.  Oscillatory brain activity reveals linguistic prints in the quantity code.

Authors:  Elena Salillas; Paulo Barraza; Manuel Carreiras
Journal:  PLoS One       Date:  2015-04-15       Impact factor: 3.240

5.  The integration between nonsymbolic and symbolic numbers: Evidence from an EEG study.

Authors:  Ruizhe Liu; Christian D Schunn; Julie A Fiez; Melissa E Libertus
Journal:  Brain Behav       Date:  2018-03-08       Impact factor: 2.708

6.  The Force of Numbers: Investigating Manual Signatures of Embodied Number Processing.

Authors:  Alex Miklashevsky; Oliver Lindemann; Martin H Fischer
Journal:  Front Hum Neurosci       Date:  2021-01-11       Impact factor: 3.169

  6 in total

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