LISA improves statistical analysis for fMRI

Functional magnetic resonance imaging (fMRI) is a powerful technique for measuring human brain activity, but the statistical analysis of fMRI data can be difficult. Here, the authors introduce a new fMRI analysis tool, LISA, which provides increased statistical power compared to existing techniques.

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Detalles Bibliográficos
Autores principales:	Gabriele Lohmann, Johannes Stelzer, Eric Lacosse, Vinod J. Kumar, Karsten Mueller, Esther Kuehn, Wolfgang Grodd, Klaus Scheffler
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/7f07805dbd994058bbc72fc35d55f56c
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spelling	oai:doaj.org-article:7f07805dbd994058bbc72fc35d55f56c2021-12-02T14:40:55ZLISA improves statistical analysis for fMRI10.1038/s41467-018-06304-z2041-1723https://doaj.org/article/7f07805dbd994058bbc72fc35d55f56c2018-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06304-zhttps://doaj.org/toc/2041-1723Functional magnetic resonance imaging (fMRI) is a powerful technique for measuring human brain activity, but the statistical analysis of fMRI data can be difficult. Here, the authors introduce a new fMRI analysis tool, LISA, which provides increased statistical power compared to existing techniques.Gabriele LohmannJohannes StelzerEric LacosseVinod J. KumarKarsten MuellerEsther KuehnWolfgang GroddKlaus SchefflerNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Gabriele Lohmann Johannes Stelzer Eric Lacosse Vinod J. Kumar Karsten Mueller Esther Kuehn Wolfgang Grodd Klaus Scheffler LISA improves statistical analysis for fMRI
description	Functional magnetic resonance imaging (fMRI) is a powerful technique for measuring human brain activity, but the statistical analysis of fMRI data can be difficult. Here, the authors introduce a new fMRI analysis tool, LISA, which provides increased statistical power compared to existing techniques.
format	article
author	Gabriele Lohmann Johannes Stelzer Eric Lacosse Vinod J. Kumar Karsten Mueller Esther Kuehn Wolfgang Grodd Klaus Scheffler
author_facet	Gabriele Lohmann Johannes Stelzer Eric Lacosse Vinod J. Kumar Karsten Mueller Esther Kuehn Wolfgang Grodd Klaus Scheffler
author_sort	Gabriele Lohmann
title	LISA improves statistical analysis for fMRI
title_short	LISA improves statistical analysis for fMRI
title_full	LISA improves statistical analysis for fMRI
title_fullStr	LISA improves statistical analysis for fMRI
title_full_unstemmed	LISA improves statistical analysis for fMRI
title_sort	lisa improves statistical analysis for fmri
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/7f07805dbd994058bbc72fc35d55f56c
work_keys_str_mv	AT gabrielelohmann lisaimprovesstatisticalanalysisforfmri AT johannesstelzer lisaimprovesstatisticalanalysisforfmri AT ericlacosse lisaimprovesstatisticalanalysisforfmri AT vinodjkumar lisaimprovesstatisticalanalysisforfmri AT karstenmueller lisaimprovesstatisticalanalysisforfmri AT estherkuehn lisaimprovesstatisticalanalysisforfmri AT wolfganggrodd lisaimprovesstatisticalanalysisforfmri AT klausscheffler lisaimprovesstatisticalanalysisforfmri
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LISA improves statistical analysis for fMRI

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