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. 2021 Mar 31;31(4):993–1003. doi: 10.1007/s00062-021-01010-8

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Study design: built on atlas-based region of interest (ROI) extraction the present study investigated (red framed elements) quantitative diffusion tensor imaging (DTI) metrics of cognitively impaired patients (Ci_P, n = 14) in comparison to cognitively preserved patients (Cp_P, n = 81). It was based on the results of a preceding tract-based spatial statistics (TBSS) analysis (blue framed elements) which yielded individual fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD) values in clusters on the white matter (WM) skeleton in which significant differences between patients and healthy controls (HC) have been detected [15]. MNI Montreal Neurological Institute, cogn. cognitive, Pat. patients, sign. significant, vs. versus (compared against)