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URL: http://www.nitrc.org/projects/sock/
Proper Citation: SOCK (RRID:SCR_002544)
Description: 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.
Abbreviations: SOCK
Synonyms: Spatially Organized Component Klassifikator
Resource Type: data processing software, software application, software resource
Defining Citation: PMID:23847511
Keywords: matlab, magnetic resonance, independent component analysis, fmri, artifact, automated classification, automatic, independent component labeling, resting-state fmri
Funding: National Health and MRC of Australia project grant 368650; National Health and MRC of Australia project grant 318900; National Health and MRC of Australia project grant 628952; National Health and MRC of Australia practitioner fellowship 527800; Austin Hospital Medical Research Foundation ; State Government of Victoria Australia ; Operational Infrastructure Support Program
Availability: Free, Available for download, Freely available
Resource Name: SOCK
Resource ID: SCR_002544
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
