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A novel method for spatio-temporal pattern analysis of brain fMRI data

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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.

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Authors and Affiliations

  1. College of Mechatronics and Automation, National University of Defense Technology, 410073, Changsha, China

    Liu Yadong, Zhou Zongtan, Hu Dewen & Yan Lirong

  2. Department of Radiology, the Second Xiangya Hospital of Center South University, 410011, Changsha, China

    Tan Changlian

  3. Research Center of Psychology, the Second Xiangya Hospital of Center South University, 410011, Changsha, China

    Wu Daxing & Yao Shuqiao

  4. Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 100101, Beijing, China

    Hu Dewen & Yao Shuqiao

Authors
  1. Liu Yadong
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  2. Zhou Zongtan
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  3. Hu Dewen
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  4. Yan Lirong
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  5. Tan Changlian
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  6. Wu Daxing
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  7. Yao Shuqiao
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Corresponding author

Correspondence to Hu Dewen.

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Liu, Y., Zhou, Z., Hu, D. et al. A novel method for spatio-temporal pattern analysis of brain fMRI data. Sci China Ser F 48, 151–160 (2005). https://doi.org/10.1360/03yf0530

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  • DOI: https://doi.org/10.1360/03yf0530

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