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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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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). |
format | Online Article Text |
id | pubmed-6140827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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