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. 2023 Sep 12;18:60. doi: 10.1186/s13024-023-00647-y

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© The Author(s) 2023

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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Cross-sectional correlation analyses between ¹¹C-DED PET binding and plasma GFAP levels. (A-B) Scatterplots evaluating the relationship between ¹¹C-DED PET binding and plasma GFAP levels in carriers of ADAD mutations and patients with sporadic Alzheimer’s disease for composite temporal ROIs, and (C) surface maps illustrating in colour the cortical ROIs with a significant cross-sectional association between ¹¹C-DED PET binding and plasma GFAP. The Spearman’s correlation coefficient (rho), the p and power values are shown. NC: non-carriers; pMC: presymptomatic mutation carriers; sMC: symptomatic mutation carriers; MCI+: MCI with a positive amyloid-β PET scan; AD: Alzheimer’s disease dementia