| Autor: |
Fernández, Rodrigo S, Clarens, Maria Florencia, Mendez, Patricio Alexis Chrem, Crivelli, Lucia, Allegri, Ricardo F |
| Zdroj: |
Alzheimer's & Dementia: The Journal of the Alzheimer's Association; Dec2020 Supplement S11, Vol. 16 Issue 11, p1-1, 1p |
| Abstrakt: |
Background: The extracellular aggregation of the amyloid protein and hyperphosphorylated tau in neurons are biomarkers of Alzheimer's disease. Their use the clinical settings allowed to improve the diagnosis, in patients with cognitive impairment. The objective of this study was to evaluate the extent to which multivariate and network analysis of a neuropsychological battery are sensitive to predict and classify patients with mild cognitive impairment with positive (MCI +) and negative (MCI‐) amyloid markers. Method: Patients with MCI‐ (n = 32) and MCI + (n = 54), performed a standard neuropsychological battery (UDS2). A multivariate Analysis of Variance (MANOVA) was performed to compare the performance of each group, followed by a Linear Discriminant Analysis analysis (LDA) to detect the tests that best classify groups. Moreover, an analysis of networks and centrality measures was carried out, with the objective of characterizing the way in which the different tests characterize the groups Result: The MANOVA revealed that MCI‐ and MCI + groups significantly differ in their overall neuropsychological performance (P <0.001). Likewise, the LDA showed that a function (P <0.05) explains 60% of the variance (R2) and accurately classified group membership in 71% of patients. Network analysis showed that, the groups were similar in the number of connections, but differ in their type and strength. Finally, these analyzes suggested, that the tests of orientation, verbal‐immediate memory, logical‐deferred memory and semantic fluency, would be those that best separate groups. Conclusion: The neuropsychological evaluation was capable of 1) Separating the MCI‐ and MCI + groups according to their relative performance; 2) Accurately characterize how the neuropsychological tests are associated with each other and 3) Predict whether MCI patients have positive / negative amyloid biomarkers. [ABSTRACT FROM AUTHOR] |
| Databáze: |
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