CASIA OpenIR
Disparity level identification using the voxel-wise Gabor model of fMRI data
Li, Yuan1; Hou, Chunping1; Yao, Li2,3,4; Zhang, Chuncheng5; Zheng, Hongna4; Zhang, Jiacai4; Long, Zhiying2,3
Source PublicationHUMAN BRAIN MAPPING
ISSN1065-9471
2019-06-15
Volume40Issue:9Pages:2596-2610
Corresponding AuthorLong, Zhiying(friskying@163.com)
AbstractPerceiving disparities is the intuitive basis for our understanding of the physical world. Although many electrophysiology studies have revealed the disparity-tuning characteristics of the neurons in the visual areas of the macaque brain, neuron population responses to disparity processing have seldom been investigated. Many disparity studies using functional magnetic resonance imaging (fMRI) have revealed the disparity-selective visual areas in the human brain. However, it is unclear how to characterize neuron population disparity-tuning responses using fMRI technique. In the present study, we constructed three voxel-wise encoding Gabor models to predict the voxel responses to novel disparity levels and used a decoding method to identify the new disparity levels from population responses in the cortex. Among the three encoding models, the fine-coarse model (FCM) that used fine/coarse disparities to fit the voxel responses to disparities outperformed the single model and uncrossed-crossed model. Moreover, the FCM demonstrated high accuracy in predicting voxel responses in V3A complex and high accuracy in identifying novel disparities from responses in V3A complex. Our results suggest that the FCM can better characterize the voxel responses to disparities than the other two models and V3A complex is a critical visual area for representing disparity information.
Keyworddisparity fMRI Gabor identify voxel-wise encoding model
DOI10.1002/hbm.24547
WOS KeywordHORIZONTAL DISPARITY ; VISUAL-CORTEX ; 3D SHAPE ; FUNCTIONAL-ORGANIZATION ; BINOCULAR DISPARITY ; PARIETAL CORTEX ; DEPTH ; AREAS ; NEURONS ; REGIONS
Indexed BySCI
Language英语
Funding ProjectKey Program of National Natural Science Foundation of China[61731003] ; National Natural Science Foundation of China[61671067] ; National Natural Science Foundation of China[61471262] ; National Natural Science Foundation of China[61520106002] ; Fundamental Research Fund for the Central Universities[2017XTCX04] ; Interdiscipline Research Fund of Beijing Normal University
Funding OrganizationKey Program of National Natural Science Foundation of China ; National Natural Science Foundation of China ; Fundamental Research Fund for the Central Universities ; Interdiscipline Research Fund of Beijing Normal University
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000467570300004
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24578
Collection中国科学院自动化研究所
Corresponding AuthorLong, Zhiying
Affiliation1.Tianjin Univ, Sch Elect & Informat Engn, Tianjin, Peoples R China
2.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing, Peoples R China
3.Beijing Normal Univ, IDG McGovern Inst Brain Res, Beijing, Peoples R China
4.Beijing Normal Univ, Coll Informat Sci & Technol, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Li, Yuan,Hou, Chunping,Yao, Li,et al. Disparity level identification using the voxel-wise Gabor model of fMRI data[J]. HUMAN BRAIN MAPPING,2019,40(9):2596-2610.
APA Li, Yuan.,Hou, Chunping.,Yao, Li.,Zhang, Chuncheng.,Zheng, Hongna.,...&Long, Zhiying.(2019).Disparity level identification using the voxel-wise Gabor model of fMRI data.HUMAN BRAIN MAPPING,40(9),2596-2610.
MLA Li, Yuan,et al."Disparity level identification using the voxel-wise Gabor model of fMRI data".HUMAN BRAIN MAPPING 40.9(2019):2596-2610.
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