机构:[1]Key Laboratory of Nuclear Analysis Techniques, Institute of High Energy Physics, Beijing, China.[2]Department of Radiology, Xuanwu Hospital, Capital University of Medical Sciences, Beijing, China.放射科首都医科大学宣武医院
Purpose: To develop an improved temporal clustering analysis (TCA) method for detecting multiple active peaks by running the method once. Materials and Methods: Two 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. Results: The 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. Conclusion: The new method is effective in detecting multiple activations even when the timing and location of the brain activation are completely unknown.
基金:
Contract grant sponsor: National Natural Science Foundation of China;
Contract grant numbers: 90209030; 30570508.
第一作者机构:[1]Key Laboratory of Nuclear Analysis Techniques, Institute of High Energy Physics, Beijing, China.
通讯作者:
通讯机构:[*]Key Laboratory of Nuclear Analysis Techniques, Institute of High Energy Physics, 19 Yuquan Road, Beijing, 100049, China
推荐引用方式(GB/T 7714):
Na Lu,Bao-Ci Shan,Ke Li,et al.Improved temporal clustering analysis method for detecting multiple response peaks in fMRI[J].JOURNAL OF MAGNETIC RESONANCE IMAGING.2006,23(3):285-290.doi:10.1002/jmri.20523.
APA:
Na Lu,Bao-Ci Shan,Ke Li,Bin Yan,Wei Wang&Kun-Cheng Li.(2006).Improved temporal clustering analysis method for detecting multiple response peaks in fMRI.JOURNAL OF MAGNETIC RESONANCE IMAGING,23,(3)
MLA:
Na Lu,et al."Improved temporal clustering analysis method for detecting multiple response peaks in fMRI".JOURNAL OF MAGNETIC RESONANCE IMAGING 23..3(2006):285-290