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IPM
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“School of Cognitive Sciences”

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Paper   IPM / Cognitive Sciences / 7521
School of Cognitive Sciences
  Title:   How to Control the false positive rate in fuzzy Clustering : Application to fMRI Activation detection using a homodynamic-based feature space
  Author(s): 
1.  H. Jahanian
2.  G.A. Hossein Zadeh
3.  H. Soltanian Zadeh
  Status:   In Proceedings
  Proceeding: BioMed
  Year:  2003
  Supported by:  IPM
  Abstract:
FCM suffers from some drawbacks such as a priori definition of number of clusters, unidentified statistical significance of results, and instability of results when it is applied on raw fMRI time series. Using the randomization we developed a method to control the rate of false positive detection in FCM which gives a meaningful statistical significance to the results. Making use of it, we derived the optimum number of clusters. In this study we applied the FCM on a feature space that takes the variability of hemodynamic response function into account and compared it with the cross correlation feature space.


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