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).
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License:GNU General Public License (GPL)
Diagnosis:Agnosia, Apraxias, Ataxia, Autistic Disorder, Child Development Disorders, Pervasive, Alzheimer Disease, Diabetes Mellitus, Dyslexia, Epilepsy, Hypertension, Lymphoma, Non-Hodgkin, Parkinson Disease, Schizophrenia, Stroke
Intended Audience:End Users
Programming Language:MATLAB
Other Keywords: ICA


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sock: SOCK version 1.4 release posted by David Abbott on Feb 11

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sock: SOCK version 1.3 release posted by David Abbott on Jun 23, 2015

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sock: SOCK version 1.2 release posted by David Abbott on Mar 3, 2015

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sock: SOCK version 1.0 release posted by David Abbott on Jul 16, 2013