Enhance fMRI Data Analysis by RAICAR

摘要：

A new method was introduced to enhance fMRI data analysis by reproducibility-based ICA. Using this new method, unreliable components were first identified and removed by computing reproducibility index from multiple ICA realizations. The remaining components were further denoised by elliminating known artifacts according to given criteria. The resultant data were enhanced in terms of statistical power. A simulation was presented to demonstrate the capability of the method to extract true components from noisy data, and an experimental dataset was used to examine the performance of the method in real contexts.

关键词： independent component ICA RAICAR artifact noise fMRI

作者: Guozhen Dong Zirui Huang Zhi Yang Xuchu Weng Peipei Wang

作者单位: Institute of Psychology Chinese Academy of Sciences Beijing,China School of Basic Medical Science Capital Medical University Beijing,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）