دورية أكاديمية
EEG-based functional connectivity for tactile roughness discrimination.
العنوان: | EEG-based functional connectivity for tactile roughness discrimination. |
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المؤلفون: | Taleei T; Medical Biology Research Center, Institute of Health Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran., Nazem-Zadeh MR; Research Center for Molecular and Cellular Imaging, Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences (TUMS), Tehran, Iran.; Medical Physics and Biomedical Engineering Department, Tehran University of Medical Sciences (TUMS), Tehran, Iran., Amiri M; Medical Technology Research Center, Institute of Health Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran., Keliris GA; Bio-Imaging Lab, University of Antwerp, Antwerp, Belgium. |
المصدر: | Cognitive neurodynamics [Cogn Neurodyn] 2023 Aug; Vol. 17 (4), pp. 921-940. Date of Electronic Publication: 2022 Sep 26. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Springer Country of Publication: Netherlands NLM ID: 101306907 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1871-4080 (Print) Linking ISSN: 18714080 NLM ISO Abbreviation: Cogn Neurodyn Subsets: PubMed not MEDLINE |
أسماء مطبوعة: | Original Publication: Dordrecht : Springer |
مستخلص: | Tactile sensation and perception involve cooperation between different parts of the brain. Roughness discrimination is an important phase of texture recognition. In this study, we investigated how different roughness levels would influence the brain network characteristics. We recorded EEG signals from nine right-handed healthy subjects who underwent touching three surfaces with different levels of roughness. The experiment was separately repeated in 108 trials for each hand for both static and dynamic touch. For estimation of the functional connectivity between brain regions, the phase lag index method was employed. Frequency-specific connectivity patterns were observed in the ipsilateral and contralateral hemispheres to the hand of interest, for delta, theta, alpha, and beta frequency bands under the study. A number of connections were identified to be in charge of discrimination between surfaces in both alpha and beta frequency bands for the left hand in static touch and for the right hand in dynamic touch. In addition, common connections were determined in both hands for all three roughness in alpha band for static touch and in theta band for dynamic touch. The common connections were identified for the smooth surface in beta band for static touch and in delta and alpha bands for dynamic touch. As observed for static touch in alpha band and for dynamic touch in theta band, the number of common connections between the two hands was decreased by increasing the surface roughness. The results of this research would extend the current knowledge about tactile information processing in the brain. Supplementary Information: The online version contains supplementary material available at 10.1007/s11571-022-09876-1. Competing Interests: Conflict of interestThe authors declared that they have no competing interests. (© The Author(s), under exclusive licence to Springer Nature B.V. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.) |
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فهرسة مساهمة: | Keywords: EEG; Functional connectivity; Roughness discrimination; Static and dynamic touch; Tactile sensation |
تواريخ الأحداث: | Date Created: 20230731 Latest Revision: 20240802 |
رمز التحديث: | 20240802 |
مُعرف محوري في PubMed: | PMC10374498 |
DOI: | 10.1007/s11571-022-09876-1 |
PMID: | 37522039 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1871-4080 |
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DOI: | 10.1007/s11571-022-09876-1 |