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Table of Contents

Table of Contents

Abstract
01. Presentation Overview
Presentation
01. Introduction02. CDCA Methods 103. CDCA Methods 204. CDCA Methods 305. CDCA Methods 406. CDCA Methods 507. CDCA - Spatial Loadings08. CDCA - Scores09. Cross-Eigenimages10. Amyloid Cross-Eigenimages 111. Tau Cross-Eigenimages 112. Amyloid Cross-Eigenimages 213. Tau Cross-Eigenimages 214. Summary

By using a novel analysis approach applied to β-amyloid and tau PET images, we have:

  • Uncovered spatial associations between tau and β-amyloid in a sample of Cognitively Normal and Mild Cognitively Impairment subjects.

  • Identified a distinctive pattern of distributed β-amyloid linked to localized tau in the entorhinal cortex that could represent an initial indication of cognitive deterioration.

More importantly, such spatial dependency does not rely on low or high levels of β-amyloid accumulation or the differences in β-amyloid and tau uptake between cognitively normal and mild cognitive impairment conditions.

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To our knowledge, this study is the first to relate tau and β-amyloid burden from a nonlinear network perspective that accounts for distributed-to-distributed and local-to-distributed patterns of cross-distance correlation.

Since the multi-modality Canonical Distance Correlations scores provide complementary information coming from a cross-correlation analysis, they might be more accurate than a single modality (amyloid or tau) SUVR measure for the enrollment in clinical trials of those individuals in the path of cognitive deterioration.

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