A novel method for spatio-temporal pattern analysis of brain fMRI data
文献类型：期刊论文
| 作者 | Liu, YD; Zhou, ZT; Hu, DW; Yan, LR; Tan, CL; Wu, DX; Yao, SQ; D. W. Hu |
| 刊名 | SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
 |
| 出版日期 | 2005-04-01 |
| 卷号 | 48期号:2页码:151-160 |
| 关键词 | functional magnetic resonance imaging (fMRI) temporal independent component analysis (tICA) multitaper spectral analysis (MTM) |
| ISSN号 | 1009-2757 |
| 文献子类 | Article |
| 英文摘要 | A novel data processing procedure for fMRI was suggested in this paper, by which spatial and temporal characteristics of stimuli-induced signal dynamic responses can be investigated simultaneously. First the multitaper spectral estimation was utilized to estimate the spectrum of each voxel; the significance of the line frequency components at the interested frequency was tested to detect the task-related cortex areas; the temporal independent component analysis (tICA) was then applied to the activated voxels to obtain stimuli-induced signal dynamic responses. The advantages of this procedure are: few assumptions are needed for the cerebral hemodynamics and spatial distribution of task-related areas, problems which often appear in tICA analysis of fMRI data, such as the lack of stability, reliability and robustness, are overcome by the suggested method.; A novel data processing procedure for fMRI was suggested in this paper, by which spatial and temporal characteristics of stimuli-induced signal dynamic responses can be investigated simultaneously. First the multitaper spectral estimation was utilized to estimate the spectrum of each voxel; the significance of the line frequency components at the interested frequency was tested to detect the task-related cortex areas; the temporal independent component analysis (tICA) was then applied to the activated voxels to obtain stimuli-induced signal dynamic responses. The advantages of this procedure are: few assumptions are needed for the cerebral hemodynamics and spatial distribution of task-related areas, problems which often appear in tICA analysis of fMRI data, such as the lack of stability, reliability and robustness, are overcome by the suggested method. |
| 学科主题 | 认知神经科学 |
| 语种 | 英语 |
| WOS记录号 | WOS:000229230300002 |
| 公开日期 | 2011-08-22 |
| 源URL | [http://ir.psych.ac.cn/handle/311026/5133]  |
| 专题 | 心理研究所_中国科学院心理研究所回溯数据库(1956-2010) |
| 通讯作者 | D. W. Hu |
| 作者单位 | 1.Natl Univ Def Technol, Coll Mechatron & Automat, Changsha 410073, Peoples R China 2.Ctr S Univ, Xiangya Hosp 2, Dept Radiol, Changsha 410011, Peoples R China 3.Ctr S Univ, Xiangya Hosp 2, Res Ctr Psychol, Changsha 410011, Peoples R China 4.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, YD,Zhou, ZT,Hu, DW,et al. A novel method for spatio-temporal pattern analysis of brain fMRI data[J]. SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,2005,48(2):151-160. |
| APA | Liu, YD.,Zhou, ZT.,Hu, DW.,Yan, LR.,Tan, CL.,...&D. W. Hu.(2005).A novel method for spatio-temporal pattern analysis of brain fMRI data.SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,48(2),151-160. |
| MLA | Liu, YD,et al."A novel method for spatio-temporal pattern analysis of brain fMRI data".SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES 48.2(2005):151-160. |
入库方式： OAI收割
来源：心理研究所
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