GNU General Public License (GPL) Yes The Florey Institute of Neuroscience and Mental Health NITRC The ERICA Toolbox for Event Related Independent Component Analysis This toolbox performs Event-related independent component analysis [1], which: • Is useful for event-related fMRI when the neuronal and/or haemodynamic response to events (the “fMRI response”) is not known a priori • Assumes only that the peri-event fMRI time-course is similar for each event • Requires fMRI time-series input data along with event timing • Otherwise makes no assumptions about neuronal or hemodynamic response • Step 1: At each voxel, estimate the fMRI response associated with the events of interest • Step 2: Perform a spatial ICA on the resultant 4D spatio-temporal response map • Results in a series of spatial maps and associated peri-event time-series • Can detect neuronal responses even if they precede the events (e.g. anticipatory effects) • Can detect subnetworks with different peri-event time-courses [2] [1] DOI: 10.1016/j.neuroimage.2012.12.025 [2] DOI: 10.1111/epi.12163 2019-6-11 4 - Beta ERICA version 2.0beta01 The ERICA Toolbox for Event Related Independent Component Analysis Other Environment, 4 - Beta, End Users, Clinical Neuroinformatics, MR, Modeling, Independent Component Analysis, GNU General Public License (GPL)