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An improved framework for confound regression and filtering for control of motion artifact in the pr...

An improved framework for confound regression and filtering for control of motion artifact in the pr...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3811142

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data

About this item

Full title

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data

Publisher

Amsterdam: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2013-01, Vol.64, p.240-256

Language

English

Formats

Publication information

Publisher

Amsterdam: Elsevier Inc

More information

Scope and Contents

Contents

Several recent reports in large, independent samples have demonstrated the influence of motion artifact on resting-state functional connectivity MRI (rsfc-MRI). Standard rsfc-MRI preprocessing typically includes regression of confounding signals and band-pass filtering. However, substantial heterogeneity exists in how these techniques are implement...

Alternative Titles

Full title

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3811142

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3811142

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2012.08.052

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