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