Noise Removing during Task State fMRI Data Preprocessing
SHEN Xiang-sheng;LONG Zhou-jun;ZHOU Jun;LI Chuan;ZHOU Hai-yan;QIN Yu-lin;International ,WIC Institute, Beijing University of Technology;Beijing Key Laboratory of MRI and Brain Informatics;Department of Psychology, Carnegie Mellon University;
During fMRI scanning, participants' breath and heartbeat would pollute the fMRI signal. In this study, based on regression analysis, we selected a task-free gray matter area, auditory region here, to estimate the noise in task state fMRI data. The data was collected in a mental imagery task. To test the effect of noise removing, we select the bilateral region of posterior parietal cortex(PPC) as regions of interest(ROIs), which played an important role during mental imagery. The results showed that after noise removing the BOLD signal improved and more sensible for the task condition, suggesting an effective noise removing for task state fMRI data.