GNU General Public License (GPL) Yes Florey Institute of Neuroscience and Mental Health, Melbourne, Australia NITRC SOCK Yes MATLAB Kaushik Bhaganagarapu SOCK (Spatially Organized Component Klassifikator) is a software toolbox that can automatically identify many of the artifact components that are often present in independent component analysis (ICA) of functional MRI (fMRI). The method: • Does not require temporal information about the fMRI paradigm. • Does not require the user to train the algorithm. • Requires only the EPI images (additional acquisition of anatomical images is not required). • Is able to identify a high proportion of artifact-related ICs without removing components that are likely to be of neuronal origin. • Can be applied to resting-state fMRI. • Is automated, requiring minimal or no human intervention. The method is described in the following paper: Bhaganagarapu K, Jackson GD, Abbott DF. An automated method for identifying artifact in Independent Component Analysis of resting-state fMRI. Frontiers in Human Neuroscience 7(343):1-16 (2013). http://dx.doi.org/10.3389/fnhum.2013.00343 2023-9-10 SOCK version 1.4e 2018-10-08 SOCK version 1.4d 2018-2-11 SOCK version 1.4 2015-6-17 SOCK version 1.3 2015-3-03 SOCK version 1.2 2013-7-16 SOCK version 1.0 SOCK Parkinson Disease, Alzheimer Disease, Schizophrenia, Diabetes Mellitus, Dyslexia, Stroke, Child Development Disorders, Pervasive, Hypertension, Ataxia, Lymphoma, Non-Hodgkin, Epilepsy, Agnosia, Apraxias, Autistic Disorder, Application, MR, End Users, GNU General Public License (GPL), MATLAB http://www.nitrc.org/projects/sock/ kaushik@brain.org.au