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Pre-processing of high-resolution gradient-echo images for laminar fMRI applications
Patricia Pais-Roldan1, Seong Dae Yun1, and Jon N Shah1
1Forschungszentrum Juelich, Juelich, Germany
Sophisticated pre-processing with added voxel-wise regression of the phase signal from the pre-processed magnitude increases the accuracy of GE signals, allowing whole-brain, high-resolution GE-sequences to be exploited in the resting-state laminar fMRI field.
Figure 2. Signal amplitude and independence in resting-state data. a) The image shows the location of nine voxels crossing the cortical ribbon (“cross-cortex line”) that were used in the successive analysis. b) Power of low-frequency fluctuations at different points of the cross-cortex line calculated for ten different pre-processing pipelines. c) Mean homogeneity, assessed as correlation and coherence between pairs of voxels in the cross-cortex-line. Error bars represent standard error of the mean. Different letters indicate significantly different groups.
Figure 3. Identification of evoked responses. a) Line activation profiles, calculated as the mean beta-value across 20 lines (see inset on the bottom left), for two task-fMRI scans involving either motor-only (M) or motor and sensory processing induced by touch (M+T), computed after pre-processing with ten different pipelines. The dashed lines indicate the intensity of the mean functional image. b) ROIs selected for group analysis. c) The GM to CSF ratio of the t-statistic. Asterisks indicate significant differences between pre-processing pipelines (p<0.05).