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. 2019 Jun 11;266(10):2387–2395. doi: 10.1007/s00415-019-09427-5

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© The Author(s) 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Fig. 2 — Correlation between accelerometer-based outcomes and disease progression. Longitudinal correlation between two accelerometer-based outcomes, %active (a) and variation in the vertical axis (A1, b), with the ALSFRS-R; r = Pearson correlation. The green lines represent the individual patient correlations. c, d Distribution of %active and A1 within clinical stages defined by the King’s ALS staging algorithm [2]