A MS-lesion pattern discrimination plot based on geostatistics

Marschallinger, Robert and Schmidt, Paul and Hofmann, Peter and Zimmer, Claus and Atkinson, Peter Michael and Sellner, Johann and Trinker, Eugen and Mühlau, Mark (2016) A MS-lesion pattern discrimination plot based on geostatistics. Brain and Behavior, 6 (3). ISSN 2162-3279

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Introduction A geostatistical approach to characterize MS-lesion patterns based on their geometrical properties is presented. Methods A dataset of 259 binary MS-lesion masks in MNI space was subjected to directional variography. A model function was fit to express the observed spatial variability in x, y, z directions by the geostatistical parameters Range and Sill. Results Parameters Range and Sill correlate with MS-lesion pattern surface complexity and total lesion volume. A scatter plot of ln(Range) versus ln(Sill), classified by pattern anisotropy, enables a consistent and clearly arranged presentation of MS-lesion patterns based on geometry: the so-called MS-Lesion Pattern Discrimination Plot. Conclusions The geostatistical approach and the graphical representation of results are considered efficient exploratory data analysis tools for cross-sectional, follow-up, and medication impact analysis.

Item Type:
Journal Article
Journal or Publication Title:
Brain and Behavior
Additional Information:
c 2016 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords:
?? discriminationgeostatisticslesionmultiple sclerosispatternbehavioral neuroscience ??
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Deposited On:
27 May 2016 13:32
Last Modified:
15 Jul 2024 15:58