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Data on the test-retest reproducibility of streamline counts as a measure of structural connectivity

These data provide estimations of test-retest reproducibility of streamline counts based on diffusion weighted imaging (DWI) data using a global tractography algorithm in a sample of young healthy adults. Data on descriptive statistics and factorial analyses of within-session and between-session rep...

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Autores principales: Schumacher, Lena V., Reisert, Marco, Nitschke, Kai, Egger, Karl, Urbach, Horst, Hennig, Jürgen, Weiller, Cornelius, Kaller, Christoph P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140827/
https://www.ncbi.nlm.nih.gov/pubmed/30229011
http://dx.doi.org/10.1016/j.dib.2018.05.145
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author Schumacher, Lena V.
Reisert, Marco
Nitschke, Kai
Egger, Karl
Urbach, Horst
Hennig, Jürgen
Weiller, Cornelius
Kaller, Christoph P.
author_facet Schumacher, Lena V.
Reisert, Marco
Nitschke, Kai
Egger, Karl
Urbach, Horst
Hennig, Jürgen
Weiller, Cornelius
Kaller, Christoph P.
author_sort Schumacher, Lena V.
collection PubMed
description These data provide estimations of test-retest reproducibility of streamline counts based on diffusion weighted imaging (DWI) data using a global tractography algorithm in a sample of young healthy adults. Data on descriptive statistics and factorial analyses of within-session and between-session reproducibility in terms of intra-class correlation coefficients for the absolute agreement between measurements are provided. The effect of several exemplary methodological parameters pertaining to different steps along the tractography processing pipeline on reproducibility are considered. These data are related to the research article entitled ‘Probing the reproducibility of quantitative estimates of structural connectivity derived from global tractography’ (Schumacher et al., Neuroimage, 175 (2018) 215–229).
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spelling pubmed-61408272018-09-18 Data on the test-retest reproducibility of streamline counts as a measure of structural connectivity Schumacher, Lena V. Reisert, Marco Nitschke, Kai Egger, Karl Urbach, Horst Hennig, Jürgen Weiller, Cornelius Kaller, Christoph P. Data Brief Neuroscience These data provide estimations of test-retest reproducibility of streamline counts based on diffusion weighted imaging (DWI) data using a global tractography algorithm in a sample of young healthy adults. Data on descriptive statistics and factorial analyses of within-session and between-session reproducibility in terms of intra-class correlation coefficients for the absolute agreement between measurements are provided. The effect of several exemplary methodological parameters pertaining to different steps along the tractography processing pipeline on reproducibility are considered. These data are related to the research article entitled ‘Probing the reproducibility of quantitative estimates of structural connectivity derived from global tractography’ (Schumacher et al., Neuroimage, 175 (2018) 215–229). Elsevier 2018-06-05 /pmc/articles/PMC6140827/ /pubmed/30229011 http://dx.doi.org/10.1016/j.dib.2018.05.145 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Neuroscience
Schumacher, Lena V.
Reisert, Marco
Nitschke, Kai
Egger, Karl
Urbach, Horst
Hennig, Jürgen
Weiller, Cornelius
Kaller, Christoph P.
Data on the test-retest reproducibility of streamline counts as a measure of structural connectivity
title Data on the test-retest reproducibility of streamline counts as a measure of structural connectivity
title_full Data on the test-retest reproducibility of streamline counts as a measure of structural connectivity
title_fullStr Data on the test-retest reproducibility of streamline counts as a measure of structural connectivity
title_full_unstemmed Data on the test-retest reproducibility of streamline counts as a measure of structural connectivity
title_short Data on the test-retest reproducibility of streamline counts as a measure of structural connectivity
title_sort data on the test-retest reproducibility of streamline counts as a measure of structural connectivity
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140827/
https://www.ncbi.nlm.nih.gov/pubmed/30229011
http://dx.doi.org/10.1016/j.dib.2018.05.145
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