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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Main Authors:	Lena V. Schumacher, Marco Reisert, Kai Nitschke, Karl Egger, Horst Urbach, Jürgen Hennig, Cornelius Weiller, Christoph P. Kaller
Format:	Article
Language:	English
Published:	Elsevier 2018-08-01
Series:	Data in Brief
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352340918306516

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spelling	doaj-89e5f0331a0d4df7bf58ce5998a85c792020-11-24T21:48:22ZengElsevierData in Brief2352-34092018-08-011913611381Data on the test-retest reproducibility of streamline counts as a measure of structural connectivityLena V. Schumacher0Marco Reisert1Kai Nitschke2Karl Egger3Horst Urbach4Jürgen Hennig5Cornelius Weiller6Christoph P. Kaller7Dept. of Neurology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 64, 79106 Freiburg, Germany; Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Rheinstrasse 12, 79104 Freiburg, Germany; Dept. of Neuroradiology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 64, 79106 Freiburg, Germany; Freiburg Brain Imaging Center, University of Freiburg, Germany; BrainLinks-BrainTools Cluster of Excellence, University of Freiburg, Germany; Corresponding authors at: Dept. of Neurology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 64, 79106 Freiburg, Germany.Freiburg Brain Imaging Center, University of Freiburg, Germany; BrainLinks-BrainTools Cluster of Excellence, University of Freiburg, Germany; Medical Physics, Dept. of Radiology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 60a, 79106 Freiburg, GermanyDept. of Neurology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 64, 79106 Freiburg, Germany; Freiburg Brain Imaging Center, University of Freiburg, GermanyDept. of Neuroradiology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 64, 79106 Freiburg, Germany; Freiburg Brain Imaging Center, University of Freiburg, GermanyDept. of Neuroradiology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 64, 79106 Freiburg, Germany; Freiburg Brain Imaging Center, University of Freiburg, GermanyFreiburg Brain Imaging Center, University of Freiburg, Germany; BrainLinks-BrainTools Cluster of Excellence, University of Freiburg, Germany; Medical Physics, Dept. of Radiology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 60a, 79106 Freiburg, GermanyDept. of Neurology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 64, 79106 Freiburg, Germany; Freiburg Brain Imaging Center, University of Freiburg, Germany; BrainLinks-BrainTools Cluster of Excellence, University of Freiburg, GermanyDept. of Neurology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 64, 79106 Freiburg, Germany; Freiburg Brain Imaging Center, University of Freiburg, Germany; BrainLinks-BrainTools Cluster of Excellence, University of Freiburg, Germany; Corresponding authors at: Dept. of Neurology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 64, 79106 Freiburg, Germany.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).http://www.sciencedirect.com/science/article/pii/S2352340918306516
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Lena V. Schumacher Marco Reisert Kai Nitschke Karl Egger Horst Urbach Jürgen Hennig Cornelius Weiller Christoph P. Kaller
spellingShingle	Lena V. Schumacher Marco Reisert Kai Nitschke Karl Egger Horst Urbach Jürgen Hennig Cornelius Weiller Christoph P. Kaller Data on the test-retest reproducibility of streamline counts as a measure of structural connectivity Data in Brief
author_facet	Lena V. Schumacher Marco Reisert Kai Nitschke Karl Egger Horst Urbach Jürgen Hennig Cornelius Weiller Christoph P. Kaller
author_sort	Lena V. Schumacher
title	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_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_sort	data on the test-retest reproducibility of streamline counts as a measure of structural connectivity
publisher	Elsevier
series	Data in Brief
issn	2352-3409
publishDate	2018-08-01
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).
url	http://www.sciencedirect.com/science/article/pii/S2352340918306516
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Data on the test-retest reproducibility of streamline counts as a measure of structural connectivity

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