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. Author manuscript; available in PMC: 2022 Apr 15.
Published in final edited form as: Biol Psychiatry. 2020 Feb 6;89(8):776–785. doi: 10.1016/j.biopsych.2020.01.023

Figure 3.

Figure 3.

Latent variables from partial least squares analysis relating behavioral features and Alzheimer’s disease (AD) pathology in both cohorts. Results from the different partial least squares analyses representing which combinations of behavioral features relate to amyloid-β (Aβ) pathology in PRe-symptomatic EValuation of Experimental or Novel Treatments for AD (PREVENT-AD) study group (A), tau pathology in PREVENT-AD study group (B), and Aβ pathology in Dominant Inherited Alzheimer Network (DIAN) study group (C). Bar graphs represent the weight of each behavioral feature to the multivariate relationship. Confidence intervals are derived from bootstrap resampling. All brain regions included in the partial least squares analyses are projected on the brains. Bootstrap ratios correspond to the importance of each region to the behavioral feature-pathology relationship. NPI-Q, Neuropsychiatric Inventory Questionnaire.