Default mode network in healthy elders: A pilot research on independent component analysis combined with correlation analysis

Zhi Gang Qi, Xiao Yi Wang, Xing Wang, Xia Wu, Kun Cheng Li*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To investigate the consistency between independent component analysis (ICA) and correlation analysis of default mode network (DMN) in healthy elderly. Methods: Resting-state fMR examination was performed with 3.0T MR scanner and 8-channel head coil. After pre-process of fMRI data with SPM, ICA was performed with GIFT and correlation analysis was performed with AFNI. Functional areas of DMN in healthy elderly were compared between the two methods. Results: Except for hippocampal formation, consistent results of DMN were observed between ICA and correlation analysis. Functional connectivity was found between posterior cingulated cortex (PCC) and most of the functional areas in DMN. Conclusion: ICA and correlation analysis has consistent results for DMN. Combination of these two methods may contribute to the further study of brain function on resting-state fMRI.

Original languageEnglish
Pages (from-to)1636-1639
Number of pages4
JournalChinese Journal of Medical Imaging Technology
Volume26
Issue number9
Publication statusPublished - Sept 2010
Externally publishedYes

Keywords

  • Aged
  • Functional connectivity
  • Independent component analysis
  • Magnetic resonance imaging

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