Swartz Center for Computational Neuroscience MPT Yes University of California San Diego NITRC Measure Projection Toolbox (MPT) Yes MATLAB This toolbox is an EEGLAB plugin for performing Measure Projection Analysis. Measure Projection Analysis (MPA) is a novel probabilistic multi-subject inference method that overcomes EEG Independent Component (IC) clustering issues by abandoning the notion of distinct IC clusters. Instead, it searches voxel by voxel for brain regions having event-related IC process dynamics that exhibit statistically significant consistency across subjects and/or sessions as quantified by the values of various EEG measures. Local-mean EEG measure values are then assigned to all such locations based on a probabilistic model of IC localization error and inter-subject anatomical and functional differences. 2012-1-06 5 - Production/Stable/Mature Latest Release Measure Projection Toolbox (MPT) EEG/MEG, End Users, Developers, MPT, MATLAB, Surrogate Data Analysis, Visualization, Algorithm or Reusable Library, 5 - Production/Stable/Mature, Diabetes Mellitus, Multiple Sclerosis, Depression, Substance-Related Disorders, Schizophrenia, Bipolar Disorder, Stroke, Obsessive-Compulsive Disorder, Autistic Disorder, Parkinson Disease, Epilepsy http://www.nitrc.org/projects/measure_project/, http://sccn.ucsd.edu/wiki/MPT