“School of Cognitive Sciences”
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| Paper IPM / Cognitive Sciences / 7523 |
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Commonly used hemodynamic response functions (HRF) such as gamma or Gaussian ignore the variability of HRF over different brain areas, subjects and sessions. Using three basis functions that model this variability, we derived three features for each fMRI time series. These features along with conventional correlation coefficient provided a feature space. By applying a Fuzzy C-Means clustering on this space, activated areas were detected with an increased sensitivity. This method was applied to a finger tapping fMRI data and revealed activation in sub-cortical areas where using correlation feature alone was unable to detect them.
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