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. 2020 Oct 13;10:17149. doi: 10.1038/s41598-020-74054-4

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© The Author(s) 2020

Open AccessThis 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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Bundle profile analysis was carried out on PPMI data of 32 control and 32 patient subjects. The figure shows results for five major bundles, AF $_$ L, CST $_$ L, IFOF $_$ R, OR $_$ R, and UF $_$ R. The 2-sample independent t-test was carried out on AFQ bundle profiles of subjects to get significant group differences along the tract. For BUAN, linear mixed models (LMM) was run to get significant group differences along the tract. (A) shows AFQ bundle profile results on 5 bundles and (B) shows BUAN results on the same data. In both (A) and (B), the first row has mean bundle plots for fractional anisotropy (FA) and second row has mean bundle plots for mean diffusivity (MD). Each plot has a mean bundle profile for the control group in green and a mean bundle profile for the patient group in red. On the x-axis, we have length along the tract/segment number, on the left y-axis, we have mean anatomical values and the negative logarithm of p values on the right y-axis of the plots. In the plots, the horizontal lower line indicates a p value < 0.01 and the horizontal upper line indicates a p value < 0.001.