Title
A novel method for spatio-temporal pattern analysis of brain fMRI data
Abstract
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.
Year
DOI
Venue
2005
10.1360/03yf0530
SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
Keywords
Field
DocType
functional magnetic resonance imaging (fMRI),temporal independent component analysis (tICA),multitaper spectral analysis (MTM)
Voxel,Data mining,Data processing,Spectral density estimation,Multitaper,Computer science,Pattern analysis,Robustness (computer science),Independent component analysis,Spatial distribution
Journal
Volume
Issue
ISSN
48
2
1009-2757
Citations 
PageRank 
References 
7
0.58
5
Authors
7
Name
Order
Citations
PageRank
Yadong Liu110514.04
Zongtan Zhou241233.89
Dewen Hu31290101.20
Lirong Yan480.95
Changlian Tan570.58
Daxing Wu670.58
Shuqiao Yao770.58