Accurate autocorrelation modeling substantially improves fMRI reliability

There has been recent controversy over the validity of commonly-used software packages for functional MRI (fMRI) data analysis. Here, the authors compare the performance of three leading packages (AFNI, FSL, SPM) in terms of temporal autocorrelation modeling, a key statistical step in fMRI analysis.

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Autores principales:	Wiktor Olszowy, John Aston, Catarina Rua, Guy B. Williams
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/358c32abb05f4df988f0365662606468
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id	oai:doaj.org-article:358c32abb05f4df988f0365662606468
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spelling	oai:doaj.org-article:358c32abb05f4df988f03656626064682021-12-02T16:57:54ZAccurate autocorrelation modeling substantially improves fMRI reliability10.1038/s41467-019-09230-w2041-1723https://doaj.org/article/358c32abb05f4df988f03656626064682019-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09230-whttps://doaj.org/toc/2041-1723There has been recent controversy over the validity of commonly-used software packages for functional MRI (fMRI) data analysis. Here, the authors compare the performance of three leading packages (AFNI, FSL, SPM) in terms of temporal autocorrelation modeling, a key statistical step in fMRI analysis.Wiktor OlszowyJohn AstonCatarina RuaGuy B. WilliamsNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Wiktor Olszowy John Aston Catarina Rua Guy B. Williams Accurate autocorrelation modeling substantially improves fMRI reliability
description	There has been recent controversy over the validity of commonly-used software packages for functional MRI (fMRI) data analysis. Here, the authors compare the performance of three leading packages (AFNI, FSL, SPM) in terms of temporal autocorrelation modeling, a key statistical step in fMRI analysis.
format	article
author	Wiktor Olszowy John Aston Catarina Rua Guy B. Williams
author_facet	Wiktor Olszowy John Aston Catarina Rua Guy B. Williams
author_sort	Wiktor Olszowy
title	Accurate autocorrelation modeling substantially improves fMRI reliability
title_short	Accurate autocorrelation modeling substantially improves fMRI reliability
title_full	Accurate autocorrelation modeling substantially improves fMRI reliability
title_fullStr	Accurate autocorrelation modeling substantially improves fMRI reliability
title_full_unstemmed	Accurate autocorrelation modeling substantially improves fMRI reliability
title_sort	accurate autocorrelation modeling substantially improves fmri reliability
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/358c32abb05f4df988f0365662606468
work_keys_str_mv	AT wiktorolszowy accurateautocorrelationmodelingsubstantiallyimprovesfmrireliability AT johnaston accurateautocorrelationmodelingsubstantiallyimprovesfmrireliability AT catarinarua accurateautocorrelationmodelingsubstantiallyimprovesfmrireliability AT guybwilliams accurateautocorrelationmodelingsubstantiallyimprovesfmrireliability
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Accurate autocorrelation modeling substantially improves fMRI reliability

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