A New Statistical Method for Detecting Significant Activation in Functional Magnetic Resonance Brain Imaging
Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.578
A multi-taper based method for detecting significant activation patterns in a time series of observations at a single voxel, as measured with functional magnetic resonance imaging, is presented in this paper. The method involves testing for relations between the action frequencies and the hemodynamic response via non-parametric estimation of the spectral density of the time series and is used to locate the activated areas. For comparison, the correlation coefficients analysis and Welch method are also introduced. Experimental results demonstrate that the proposed method is effective and is quite suitable for detecting activation in functional MRI when the stimulus action is presented in periodic sequence.
Zhen Lei, Qinghai Wang, Weifeng Wang, Deven Hu, "A New Statistical Method for Detecting Significant Activation in Functional Magnetic Resonance Brain Imaging", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 512-516, doi:10.1109/CSIE.2009.578