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A novel method for spatio-temporal pattern analysis of brain fMRI data
Authors:Liu?Yadong,Zhou?Zongtan,Hu?Dewen?  author-information"  >  author-information__contact u-icon-before"  >  mailto:dwhu@nudt.edu.cn"   title="  dwhu@nudt.edu.cn"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Yan?Lirong,Tan?Changlian,Wu?Daxing,Yao?Shuqiao
Affiliation:1.College of Mechatronics and Automation,National University of Defense Technology,Changsha,China;2.Department of Radiology,the Second Xiangya Hospital of Center South University,Changsha,China;3.Research Center of Psychology,the Second Xiangya Hospital of Center South University,Changsha,China;4.Key Laboratory of Mental Health, Institute of Psychology,Chinese Academy of Sciences,Beijing,China
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.
Keywords:functional magnetic resonance imaging (fMRI)   temporal independent component analysis (tICA)   multitaper spectral analysis (MTM).
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