Analysis for Functional MRI Data Based on Improved Convolution Power Spectrum

摘要

According to the Matched Filtering Principle, propose a new method of convolution power spectrum (CPS) to detect the activity of brain function. Firstly, calculate the fMRI time series and the convolution of fMRI image signal of experimental model. Then PSD of convolution signal isused to quantitative analysis the energy changes of blood-oxygen-level dependent (BOLD) signal. To compare the SPM PS SVM, experimental results show that CPS algorithm is effective to analysis the brain active information about fMRI time series.