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A novel method for spatio-temporal pattern analysis of brain fMRI data
Authors:Liu?Yadong  Zhou?Zongtan  Email author" target="_blank">Hu?Dewen?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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