Summary measures of the correlations in the two simulation examples.

<p>Summary measures of the correlations in the two simulation examples.</p

3D view of auditory, control, default mode and visual networks (from top).

<p>3D view of auditory, control, default mode and visual networks (from top).</p

The work flow of PGICA.

<p>PCA is first applied to each subject for dimension reduction, then the dimension-reduced matrices are stacked together and PGICA is applied; as a comparison, a second dimension reduction step is usually required by fastICA algorithm. PGICA can potentially be used in combination with any of the existing back reconstruction methods such as dual regression and GIG-ICA.</p

Histograms of age (left), IQ (middle), and SRS (right) for participants in ABIDE plotted and colored by disease diagnosis and overlaid, where blue corresponds to typically developed (TD) controls and red corresponds to ASD individuals.

<p>Histograms of age (left), IQ (middle), and SRS (right) for participants in ABIDE plotted and colored by disease diagnosis and overlaid, where blue corresponds to typically developed (TD) controls and red corresponds to ASD individuals.</p

Map of available source in simulation 3.

<p>Map of available source in simulation 3.</p

Axial, sagittal, and frontal (left to right) planes of the auditory, control, default mode and visual networks (from top) estimated using 301 fMRI scans from the 1,000 Functional Connectomes Project dataset.

<p>The thresholded maps are overlaid on a greyscale MNI template brain. The 90th slice is shown from the MNI template in each of the plots. The colors correspond to the intensities in the estimated brain networks where white: high intensity to red: low intensities.</p

Axial, sagittal, and frontal (left to right) planes of the default mode, auditory and visual networks (from top) estimated using 779 fMRI scans from the ABIDE dataset.

<p>The thresholded maps are overlaid on a greyscale MNI template brain. The colors correspond to the intensities in the estimated brain networks where white: high intensity to red: low intensities.</p

Speed increase of PGICA.

<p>Speed increase of PGICA.</p

Boxplots (for both fastICA and PGICA) of the average correlations (log-transformed) of the true signals with the estimated signals from simulation 1 on the left and simulation 2 on the right.

<p>Boxplots (for both fastICA and PGICA) of the average correlations (log-transformed) of the true signals with the estimated signals from simulation 1 on the left and simulation 2 on the right.</p

Compare fastICA/InfoMax ICA/PGICA accuracies.

<p>Compare fastICA/InfoMax ICA/PGICA accuracies.</p