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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
Source PublicationSCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
ISSN1009-2757
SubtypeArticle
Volume48Issue:2Pages:151-160
AbstractA 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.
Keywordfunctional magnetic resonance imaging (fMRI) temporal independent component analysis (tICA) multitaper spectral analysis (MTM)
Subject Area认知神经科学
Indexed BySCI
Language英语
WOS IDWOS:000229230300002
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/5133
Collection中国科学院心理研究所回溯数据库(1956-2010)
Corresponding AuthorD. W. Hu
Affiliation1.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
Recommended Citation
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.
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