Multilevel and Network Analysis in Patients with mild Cognitive Impairment: cognitive assessment as a predictor of biomarkers.

FERNÁNDEZ RODRIGO S; CLARENS MARIA FLORENCIA; CHREM MENDEZ PATRICIO; CRIVELLI, LUCIA; ALLEGRI RICARDO F

Conferencia; Alzheimer Association International Conference; 2020

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 groupsResult: The MANOVA revealed that MCI- and MCI + groups significantly differ in their overall neuropsychological performance (P