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Jul 1, 2016 · We propose a multivariate nonlinear mixed effects model for estimating the trajectories of voxelwise neuroimaging biomarkers from longitudinal data.
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Instead, this variability can be accounted for by aligning individuals in time based on their longitudinal biomarker profiles within a multivariate framework.
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Jan 13, 2021 · The aim of this study was to determine a pattern associated with longitudinal changes of β-amyloid (Aβ) deposition during cognitively normal(CN) healthy aging.
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Jun 12, 2023 · This review, supported by a systematic search of the literature, summarizes the current design and methodologies of longitudinal PET studies.
Apr 17, 2018 · We used multivariate linear mixed effects models (LME) to evaluate longitudinal changes in amyloid-β PET and structural MRI. LME models ...
Oct 15, 2023 · We evaluated four novel data-driven amyloid metrics against the binding potential and Centiloid scale using consistent data and evaluation criteria.
Jan 26, 2016 · By using linear mixed-effects models, fibrillar amyloid-β plaque deposition was first observed in the striatum of presymptomatic autosomal ...
Aug 17, 2019 · A machine learning classifier was applied on Jacobian determinant maps to predict the presence of abnormal amyloid levels in cognitively unimpaired individuals.
May 30, 2017 · This longitudinal cohort study explores how the magnitude of baseline amyloid burden predicts the rate of cognitive decline over 4 years in ...
To test whether baseline biomarker levels were associated with longitudinal changes in brain imaging and cognition we used univariate and multivariate linear ...