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The base scale entropy analysis of fMRI

Liu Tie-Bing Yao Wen-Po Ning Xin-Bao Ni Huang-Jing Wang Jun

The base scale entropy analysis of fMRI

Liu Tie-Bing, Yao Wen-Po, Ning Xin-Bao, Ni Huang-Jing, Wang Jun
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Publishing process
  • Received Date:  19 June 2013
  • Accepted Date:  27 July 2013
  • Published Online:  05 November 2013

The base scale entropy analysis of fMRI

  • 1. Nanjing General Hospital of Nanjing Military Command, Nanjing 210002, China;
  • 2. Key Laboratory of Modern Acoustics and Department of Electronic Science and Engineering, Institute for Biomedical Electronic Engineering, Nanjing University, Nanjing 210093, China;
  • 3. Image Processing and Image Communications Key Lab., Nanjing Univ. of Posts & Telecomm., Nanjing 210003, China
Fund Project:  Project supported by the National Natural Science Foundation of China (Grant Nos. 61271082, 61201029, 61102094), and the Natural Science Foundation of Jiangsu Province, China (Grant Nos. BK2011759, BK2011565).

Abstract: The complexity of human brain activity has shown a certain law associated with the difference of age and sex, which can be identified by fMRI (functional magnetic resonance imaging). In this paper, we apply the base scale entropy to 54 groups’ fMRI data of different ages and gender, and then distinguish the different groups through the entropy. Through the base scale entropy with reasonable parameters, fMRI of different people could be distinguished effectively, which provides convenience to further data analysis. Results show that the base scale entropy between men and women of the same age has some differences and the entropy changes correspondingly with the change of age. In order to distinguish different people of different ages, we need to adjust the scale parameter to adapt to the trends in age changes. The fMRI data analysis shows that the base scale entropy could distinguish different populations’ fMRI data characteristics for further facilitating the analysis of complex signals.

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