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

Lena V Schumacher; Marco Reisert; Kai Nitschke; Karl Egger; Horst Urbach; Jürgen Hennig; Cornelius Weiller; Christoph P Kaller

doi:10.1016/j.dib.2018.05.145

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

Data Brief. 2018 Jun 5:19:1361-1381. doi: 10.1016/j.dib.2018.05.145. eCollection 2018 Aug.

Authors

Lena V Schumacher^{1

2

3

4

5}, Marco Reisert^{4

5

6}, Kai Nitschke^{1

4}, Karl Egger^{3

4}, Horst Urbach^{3

4}, Jürgen Hennig^{4

5

6}, Cornelius Weiller^{1

4

5}, Christoph P Kaller^{1

4

5}

Affiliations

¹ Dept. of Neurology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 64, 79106 Freiburg, Germany.
² Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Rheinstrasse 12, 79104 Freiburg, Germany.
³ Dept. of Neuroradiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 64, 79106 Freiburg, Germany.
⁴ Freiburg Brain Imaging Center, University of Freiburg, Germany.
⁵ BrainLinks-BrainTools Cluster of Excellence, University of Freiburg, Germany.
⁶ Medical Physics, Dept. of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 60a, 79106 Freiburg, Germany.

Abstract

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).