A novel method for spatio-temporal pattern analysis of brain fMRI data
Liu, YD; Zhou, ZT; Hu, DW; Yan, LR; Tan, CL; Wu, DX; Yao, SQ; D. W. Hu
2005-04-01
发表期刊SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
ISSN1009-2757
文章类型Article
卷号48期号:2页码:151-160
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.
关键词functional magnetic resonance imaging (fMRI) temporal independent component analysis (tICA) multitaper spectral analysis (MTM)
学科领域认知神经科学
收录类别SCI
语种英语
WOS记录号WOS:000229230300002
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/5133
专题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
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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.
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