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J Magn Reson Imaging · Mar 2006
Improved temporal clustering analysis method for detecting multiple response peaks in fMRI.
- Na Lu, Bao-Ci Shan, Ke Li, Bin Yan, Wei Wang, and Kun-Cheng Li.
- Key Laboratory of Nuclear Analysis Techniques, Institute of High Energy Physics, 19 Yuquan Road, Beijing 100-049, China.
- J Magn Reson Imaging. 2006 Mar 1; 23 (3): 285-90.
PurposeTo develop an improved temporal clustering analysis (TCA) method for detecting multiple active peaks by running the method once.Materials And MethodsTwo cases of simulation data and a set of actual fMRI data from nine subjects were used to compare the traditional TCA method with the new method, termed extremum TCA (ETCA). The first case of simulation data simulated event-related activation and block activation in one cerebral area, and the second case simulated event-related activation and block activation in two cerebral areas. An in vivo visual stimulating experiment was performed on a 1.5T MR scanner. All imaging data were processed using both traditional TCA and the new method.ResultsThe results of both the simulated and actual fMRI data show that the new method is more sensitive and exact than traditional TCA in detecting multiple response peaks.ConclusionThe new method is effective in detecting multiple activations even when the timing and location of the brain activation are completely unknown.(c) 2006 Wiley-Liss, Inc.
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