Independent Component Analysis of Instantaneous Power-Based fMRI

Figure 1

(a) AnEPI scan image with the selected nine regions of interest and simulated fMRI time courses. (b) Signals (A) and (B) (0.08 Hz) are the series of gamma variate functions simulating event-related and resting-state brain hemodynamics, respectively. Signal (C) is the convolution of an HRF and a square wave simulating a block-design fMRI signal. Signal (D) (0.005 Hz) is a sine wave simulating a slowly varying global baseline. Signal (E) is a Gaussian signal simulating the random white noise. Signal (F) (with a mean frequency of 1.2 Hz) is a cardiac signal simulating the structured noise. (c) Spatial components extracted by traditional fMRI. (d) Spatial components extracted by ip-fMRI. Voxels with amplitude values above threshold 2.5 are shown as the points in red to yellow color on the image.