Sustainable Method for Alzheimer's Prediction

Alzheimer Disease Clinical Trial

Official title: Sustainable Method for Alzheimer's Prediction in Mild Cognitive Impairment: EEG Connectivity and Graph Theory Combined With ApoE Testing.

Status Completed

Clinical Trial Summary

This is an observational study with the aim of validating, in a consistent population sample, with appropriate follow-up, whether EEG connectivity analysis combined with the neuropsychological evaluation and ApoE genotype testing in aMCI could be of help in early identification of converted aMCI as a first-line screening method in order to intercept early those subjects with a high risk for rapid progression to AD.

Clinical Trial Description

Primary aim of the present project is to investigate the dynamic connectivity among brain centers by using a mathematical (Small World) approach to the analysis of EEG-related neural networks. The aim is to provide reliable discrimination of amnesic-Mild Cognitive Impairment (a MCI) subjects who, on individual basis, will rapidly convert to Alzheimer Disease (AD) after a relatively brief follow-up. Moreover, keeping in mind that the epsilon-4 allele of the ApoE gene is a genetically determined risk factor for pathogenesis of late-onset AD, a secondary endpoint is introduced to investigate whether the EEG connectivity markers together with a genetically determined risk of dementia as represented by ApoE testing can reach higher sensitivity/specificity for early discrimination of MCI converting to AD ;

Related Conditions & MeSH terms

• Alzheimer Disease
• Amnestic-Mild Cognitive Impairment
• Cognitive Dysfunction

• NCT number: NCT03654911
• Study type: Observational
• Source: Catholic University of the Sacred Heart
• Status: Completed
• Start date: April 11, 2018
• Completion date: January 31, 2020