Is the Software Package Embedding Dynamic Causal Modeling Robust?

  • P. Tayaranian Hosseini
  • S. Wang
  • S. L. Bell
  • J. Brinton
  • D. M. Simpson
Part of the IFMBE Proceedings book series (IFMBE, volume 41)

Abstract

In recent years, Dynamic CausalModeling (DCM) has become a very popular method in the field of effective connectivity measurement of the brain and it is being used widely for different purposes. The only software available that has embedded this algorithm is Statistical Parametric Mapping (SPM) which is a MATLAB-based toolbox. In this paper, we compare the results obtained from data analyses using different versions of the software. The dispersion of results suggest that researchers should approach the SPMtoolbox with caution as the results of the analysis of the same set of data and the same defined model may vary depending on the version of SPM or MATLAB or even the operating system used.

Keywords

Dynamic CausalModeling Statistical Parametric Mapping Effective Connectivity 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • P. Tayaranian Hosseini
    • 1
  • S. Wang
    • 2
  • S. L. Bell
    • 1
  • J. Brinton
    • 1
  • D. M. Simpson
    • 1
  1. 1.Institute of Sound and Vibration ResearchUniversity of SouthamptonSouthamptonUK
  2. 2.Suzhou Institute of Biomedical Engineering and TechnologyChinese Academy of SciencesSuzhouChina

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