Disparity level identification using the voxel-wise Gabor model of fMRI data
文献类型：期刊论文
| 作者 | Li, Yuan1; Hou, Chunping1; Yao, Li2,3,4; Zhang, Chuncheng5; Zheng, Hongna4; Zhang, Jiacai4; Long, Zhiying2,3 |
| 刊名 | HUMAN BRAIN MAPPING
 |
| 出版日期 | 2019-06-15 |
| 卷号 | 40期号:9页码:2596-2610 |
| ISSN号 | 1065-9471 |
| 关键词 | disparity fMRI Gabor identify voxel-wise encoding model |
| DOI | 10.1002/hbm.24547 |
| 通讯作者 | Long, Zhiying(friskying@163.com) |
| 英文摘要 | Perceiving 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. |
| WOS关键词 | HORIZONTAL DISPARITY ; VISUAL-CORTEX ; 3D SHAPE ; FUNCTIONAL-ORGANIZATION ; BINOCULAR DISPARITY ; PARIETAL CORTEX ; DEPTH ; AREAS ; NEURONS ; REGIONS |
| 资助项目 | Key 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 |
| WOS研究方向 | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:000467570300004 |
| 资助机构 | Key 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 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/24577]  |
| 专题 | 类脑智能研究中心_神经计算及脑机交互 |
| 通讯作者 | Long, Zhiying |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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