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. 2021 Dec 3;12:7065. doi: 10.1038/s41467-021-26703-z

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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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — (Data from 1194 ADNI participants with Abeta/pTau measures (a, b, d) and 2832 ADNI/BLSA participants (c)) a Survival curves for neurodegeneration progression to P4; b Survival curves for clinical diagnosis progression from CN to MCI and from MCI to Dementia. For both a and b, survival curves are stratified by both initial dominant pattern and Abeta (A) /pTau (T) status; p-values derived from log-rank tests indicate statistical significance of difference between positive and negative Abeta or pTau status within each pattern; c, d Box and whisker plots of concordance Index (C-Index) which measures the performance of Cox-proportional-hazard model in predicting clinical conversion time (from CN to MCI and MCI to Dementia. Different biomarkers are utilized as features of the model for evaluation of their predictive performance. (Center line, median; box limits, upper and lower quartiles; whiskers, 1.5× interquartile range; points, outliers) Source data are provided as a Source Data file.