Dorsal-Ventral Visual Pathways and Object Characteristics:Beamformer Source Analysis of EEG

作     者：Akanksha Tiwari Ram Bilas Pachori Premjit Khanganba Sanjram 

作者机构：Department of Biosciences and Biomedical EngineeringIndian Institute of Technology IndoreIndore453552India Department of Electrical EngineeringIndian Institute of Technology IndoreIndore453552India Discipline of PsychologyIndian Institute of Technology IndoreIndore453552India Center for Electric Vehicles and Intelligent Transport SystemsIndian Institute of Technology IndoreIndore453552India 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第70卷第2期

页      面：2347-2363页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：A.T.was supported by DST-INSPIRE Program sponsored by Department of Science&Technology Government of India Fellowship ID:IF150444 URL:https://www.online-inspire.gov.in/ 

主　　题：Mental rotation EEG source localization DICS beamformer dorsal-ventral pathway 

摘      要：In performing a gaming task,mental rotation(MR)is one of the important aspects of visuospatial *** involves dorsal-ventral pathways of the *** objects/models used in computer-games play a crucial role in gaming experience of the *** visuospatial characteristics of the objects used in the computer-game influence the engagement of dorsal-ventral visual *** current study investigates how the objects’visuospatial characteristics(i.e.,angular disparity and dimensionality)in an MR-based computer-game influence the cortical activities in dorsalventral visual *** the factors have two levels,angular disparity:convex angle(CA)*** angle(RA)and dimensionality:2D *** healthy adults,aged,18-29 years(M=21.6)were recruited for the study and randomly assigned to four gaming conditions i.e.,15 participants in each *** multichannel electroencephalogram(EEG)data were recorded from 60 healthy adults while playing the *** source reconstruction was done for∼3000 sources inside the brain using the Dynamic Imaging of Coherent Sources(DICS)beamforming method forθ1(4-5.75),θ2(5.75-7.5),α1(7.5-9),α2(9-11),α3(11-13),β1(13-17.25),β2(17.25-21.5)Hz frequency *** reconstructed neuronal sources were segmented into 68 functionally parcellated brain regions,and the percentage of active sources for each region was ***,the differences across the 68 regions among the four gaming conditions were evaluated using the percentage of active *** differences in activation for the dorsal-ventral pathways and some additional brain regions were observed among the four *** game with 2D objects and CA showed higher activation than that with 3D objects and RA,*** dorsal pathway was found to be more active in contrast to the ventral *** findings suggest that angular disparity and dimensionality in MR influence the engagement of dorsal-ventral visual pathways in such a way that angular disparit