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Eyes-Open and Eyes-Closed Resting States With Opposite Brain Activity in Sensorimotor and Occipital Regions: Multidimensional Evidences From Machine Learning Perspective
Wei, Jie1,2,3; Chen, Tong1,3,4; Li, Chuandong1,3; Liu, Guangyuan1,3; Qiu, Jiang5; Wei, Dongtao5
First AuthorWei, Jie
2018-10-18
Source PublicationFRONTIERS IN HUMAN NEUROSCIENCE
Correspondent Emailchuandong li cdli@swu.edu.cn ; guangyuan liu liugy@swu.edu.cn
ISSN1662-5161
SubtypeArticle
Volume12Pages:11
Contribution Rank4
Abstract

Studies have demonstrated that there are widespread significant differences in spontaneous brain activity between eyes-open (EO) and eyes-closed (EC) resting states. However, it remains largely unclear whether spontaneous brain activity is effectively related to EO and EC resting states. The amplitude, local functional concordance, inter-hemisphere functional synchronization, and network centrality of spontaneous brain activity were measured by the fraction amplitude of low frequency fluctuation (fALFF), regional homogeneity (ReHo), voxel-mirrored homotopic connectivity (VMHC) and degree centrality (DC), respectively. Using the public Eyes-open/Eyes-closed dataset, we employed the support vector machine (SVM) and bootstrap technique to establish linking models for the fALFF, ReHo, VMHC and DC dimensions. The classification accuracies of linking models are 0.72 (0.59, 0.82), 0.88 (0.79, 0.97), 0.82 (0.74, 0.91) and 0.70 (0.62, 0.79), respectively. Specifically, we observed that brain activity in the EO condition is significantly greater in attentional system areas, including the fusiform gyrus, occipital and parietal cortex, but significantly lower in sensorimotor system areas, including the precentral/postcentral gyrus, paracentral lobule (PCL) and temporal cortex compared to the EC condition from the four dimensions. The results consistently indicated that spontaneous brain activity is effectively related to EO and EC resting states, and the two resting states are of opposite brain activity in sensorimotor and occipital regions. It may provide new insight into the neural substrate of the resting state and help computational neuroscientists or neuropsychologists to choose an appropriate resting state condition to investigate various mental disorders from the resting state functional magnetic resonance imaging (fMRI) technique.

KeywordResting State Fmri Eyes-open Eyes-closed Falff Reho Vmhc Dc Brain Activity
DOI10.3389/fnhum.2018.00422
Indexed BySCIE
Language英语
Funding OrganizationNational Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities
Funding ProjectNational Natural Science Foundation of China[61472330] ; National Natural Science Foundation of China[61374078] ; National Natural Science Foundation of China[31571137] ; National Natural Science Foundation of China[61872301] ; National Natural Science Foundation of China[61502398] ; Fundamental Research Funds for the Central Universities[XDJK2013D026]
WOS Research AreaNeurosciences & Neurology ; Psychology
WOS SubjectNeurosciences ; Psychology
WOS IDWOS:000447602500001
PublisherFRONTIERS MEDIA SA
WOS KeywordLow-frequency Fluctuation ; Fmri Data-analysis ; Functional Connectivity ; Alzheimers-disease ; Visual-cortex ; Neural-network ; Global Signal ; Mri ; Regression ; Impact
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/27317
Collection认知与发展心理学研究室
Corresponding AuthorLi, Chuandong; Liu, Guangyuan
Affiliation1.Southwest Univ, Sch Elect & Informat Engn, Chongqing, Peoples R China
2.Southwest Univ, Sch Math & Stat, Chongqing, Peoples R China
3.Southwest Univ, Coll Elect & Informat Engn, Chongqing Key Lab Nonlinear Circuit & Intelligent, Chongqing, Peoples R China
4.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China
5.Southwest Univ, Dept Psychol, Chongqing, Peoples R China
Recommended Citation
GB/T 7714
Wei, Jie,Chen, Tong,Li, Chuandong,et al. Eyes-Open and Eyes-Closed Resting States With Opposite Brain Activity in Sensorimotor and Occipital Regions: Multidimensional Evidences From Machine Learning Perspective[J]. FRONTIERS IN HUMAN NEUROSCIENCE,2018,12:11.
APA Wei, Jie,Chen, Tong,Li, Chuandong,Liu, Guangyuan,Qiu, Jiang,&Wei, Dongtao.(2018).Eyes-Open and Eyes-Closed Resting States With Opposite Brain Activity in Sensorimotor and Occipital Regions: Multidimensional Evidences From Machine Learning Perspective.FRONTIERS IN HUMAN NEUROSCIENCE,12,11.
MLA Wei, Jie,et al."Eyes-Open and Eyes-Closed Resting States With Opposite Brain Activity in Sensorimotor and Occipital Regions: Multidimensional Evidences From Machine Learning Perspective".FRONTIERS IN HUMAN NEUROSCIENCE 12(2018):11.
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