Literature DB >> 29908164

Bilateral cortical representation of tactile roughness.

C Genna1, C Oddo1, C Fanciullacci1, C Chisari2, S Micera3, F Artoni4.   

Abstract

Roughness is the most important feature for texture discrimination. Here we investigate how the bilateral cortical representation of touch is modulated by tactile roughness by analyzing the neural responses elicited by stimuli with various coarseness levels ranging from fine to medium. A prolonged stimulation was delivered to 10 healthy subjects by passively sliding tactile stimuli under the fingertip while recording the EEG to study the modulation of Somatosensory Evoked Potentials (SEPs) as well as activity in the theta and alpha bands. Elicited long-latency SEPs, namely bilateral P100-N140 and frontal P240 were consistent across stimuli. On the contrary, the temporal lag N140 - P240 was nonlinearly modulated both in contralateral and ipsilateral sides, in agreement with literature. Using a time-frequency analysis approach, we identified a theta band power increase in the [0 0.5]s interval and a partially overlapped power decrease in the alpha band which lasted throughout the stimulation. The estimated time these two phenomena were overlapped was comparable across stimuli, whereas a linear decrease in alpha band amplitude was reported when increasing the stimulus roughness in both contralateral and ipsilateral sides. This study showed that the selected tactile stimuli generated physiological bilateral responses that were modulated in a diversified way according to the stimulus roughness and side. Specifically, we identified sensory processing features (i.e., theta and alpha time overlap) invariant to the stimulus roughness (i.e., associated to a basic cortical mechanism of touch) and roughness-dependent cortical outputs comparable in the contralateral and ipsilateral sides that confirm a bilateral processing of tactile information.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Bilateral; EEG; Roughness; Somatosensory cortex; Touch

Mesh:

Year:  2018        PMID: 29908164     DOI: 10.1016/j.brainres.2018.06.014

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  4 in total

1.  EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks.

Authors:  Ozan Özdenizci; Safaa Eldeeb; Andaç Demir; Deniz Erdoğmuş; Murat Akçakaya
Journal:  Biomed Signal Process Control       Date:  2021-03-05       Impact factor: 3.880

2.  Risk Factors for Unilateral Trigeminal Neuralgia Based on Machine Learning.

Authors:  Xiuhong Ge; Luoyu Wang; Lei Pan; Haiqi Ye; Xiaofen Zhu; Qi Feng; Zhongxiang Ding
Journal:  Front Neurol       Date:  2022-04-08       Impact factor: 4.003

3.  Neural dynamics of illusory tactile pulling sensations.

Authors:  Jack De Havas; Sho Ito; Sven Bestmann; Hiroaki Gomi
Journal:  iScience       Date:  2022-08-26

4.  EEG-based trial-by-trial texture classification during active touch.

Authors:  Safaa Eldeeb; Douglas Weber; Jordyn Ting; Andac Demir; Deniz Erdogmus; Murat Akcakaya
Journal:  Sci Rep       Date:  2020-11-27       Impact factor: 4.379

  4 in total

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