Assessing Predictive Ability of Dynamic Time Warping Functional Connectivity for ASD Classification

Figure 2

Time series are extracted from regions of interests (ROIs), and functional connectivity is calculated (using Pearson’s correlation or DTW) between each ROI pair resulting in an functional connectivity matrix for each participant. The matrices are triangulated, and pairwise ROI distance/similarity measures are used for machine learning classification.