NCT03654911

Sustainable Method for Alzheimer's Prediction

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

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 150 (actual)
• Sponsor: Catholic University of the Sacred Heart · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Detailed 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

Conditions

• Alzheimer Disease
• Amnestic-Mild Cognitive Impairment

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	EEG	EEG
GENETIC	ApoE	ApoE

Timeline

• Start date: 2018-04-11
• Primary completion: 2019-06-28
• Completion: 2020-01-31
• First posted: 2018-08-31
• Last updated: 2020-07-22

Locations

1 site across 1 country: Italy