Taleei Tahereh, Nazem-Zadeh Mohammad-Reza, Amiri Mahmood, Keliris Georgios A
Medical Biology Research Center, Institute of Health Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Research Center for Molecular and Cellular Imaging, Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Cogn Neurodyn. 2023 Aug;17(4):921-940. doi: 10.1007/s11571-022-09876-1. Epub 2022 Sep 26.
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.
The online version contains supplementary material available at 10.1007/s11571-022-09876-1.
触觉感觉和感知涉及大脑不同部位之间的协作。粗糙度辨别是纹理识别的一个重要阶段。在本研究中，我们调查了不同粗糙度水平如何影响脑网络特征。我们记录了9名右利手健康受试者触摸三种不同粗糙度表面时的脑电图信号。对于静态和动态触摸，每只手的实验分别重复108次。为了估计脑区之间的功能连接性，采用了相位滞后指数法。在研究的δ、θ、α和β频段中，在与感兴趣手同侧和对侧半球观察到了频率特异性连接模式。在静态触摸中左手和动态触摸中右手的α和β频段，确定了许多负责表面辨别的连接。此外，对于静态触摸的α频段和动态触摸的θ频段，两只手在所有三种粗糙度下都确定了共同连接。对于静态触摸的β频段和动态触摸的δ和α频段，确定了光滑表面的共同连接。如在α频段的静态触摸和θ频段的动态触摸中观察到的，随着表面粗糙度的增加，两只手之间的共同连接数量减少。本研究结果将扩展当前关于大脑中触觉信息处理的知识。
在线版本包含可在10.1007/s11571-022-09876-1获取的补充材料。
