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Opendata, web and dolomites

ElectroMAD SIGNED

The Fast Periodic Visual Stimulation: a sensitive and objective approach to identify early cognitive markers of AD

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

ElectroMAD project word cloud

Explore the words cloud of the ElectroMAD project. It provides you a very rough idea of what is the project "ElectroMAD" about.

relies exact comprehension neuroimaging population evolution correlated sensibility data conventional electrophysiological systematic adults performance retest ad age critical decisional stages aging aged issue disease strategy alzheimer contaminated periodic fpvs rate belgian mci human earliest patients perform biomarkers individuals stimulation 2050 prevalence memory diagnostic uncover paradigm treatment stimulus older closely attentional proportion predict electroencephalography longitudinal motivational brain encoding seniors neuropsychological diagnose deficits entirely risk pathological cognitive assessments fast millions demographic visual raises linked discrimination symptomatic repeated synchronization storage advent behavioral examine diagnosis elderly tests implicit mnesic reliability healthy

Project "ElectroMAD" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITE CATHOLIQUE DE LOUVAIN Organization address address: PLACE DE L UNIVERSITE 1 city: LOUVAIN LA NEUVE postcode: 1348 website: www.uclouvain.be contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Belgium [BE]
Project website	https://face-categorization-lab.webnode.com
Total cost	160˙800 €
EC max contribution	160˙800 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2015
Funding Scheme	MSCA-IF-EF-ST
Starting year	2016
Duration (year-month-day)	from 2016-04-01 to 2018-03-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITE CATHOLIQUE DE LOUVAIN UNIVERSITE CATHOLIQUE DE LOUVAIN Organization address address: PLACE DE L UNIVERSITE 1 city: LOUVAIN LA NEUVE postcode: 1348 website: www.uclouvain.be contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	BE (LOUVAIN LA NEUVE)	coordinator	160˙800.00

Map

Project objective

Demographic analyses predict that one third of the 10 millions Belgian population in 2050 will be above 60 years of age. Since aging is the major risk factor for Alzheimer’s disease (AD), this increase in the proportion of seniors is closely linked to the increased prevalence of AD. With the advent of promising symptomatic treatment, it is critical to diagnose AD at its earliest stages, that is, before behavioral consequences of cognitive deficits. A systematic assessment of the cognitive state of older adults might be a promising strategy to uncover, as early as possible, individuals at higher risk of pathological aging. However, this approach raises an important issue: attentional, comprehension, decisional or motivational processes are likely to affect behavioral performance in conventional neuropsychological tests used for the diagnostic, both in AD or typical elderly individuals. The aim of this project is to develop implicit measures of memory encoding for the early diagnosis of AD that are not contaminated by non-mnesic factors. We will use an entirely novel paradigm in electroencephalography: the Fast Periodic Visual Stimulation (FPVS), which relies on the exact synchronization of the human brain to a visual stimulus repeated at a periodic rate. We will apply the FPVS approach to identify early deficits in visual memory encoding/storage in aged individuals. This will be achieved by comparing electrophysiological measures of healthy elderly with and without neuropsychological deficits, and MCI/AD patients. We will perform longitudinal assessments of implicit measures of visual discrimination and memory encoding, to evaluate the test-retest reliability of implicit measures and to examine the sensibility of implicit measures to predict the risk of evolution from MCI to AD. Implicit measures of memory encoding will be correlated with neuroimaging data and biomarkers of AD.

Publications

List of publications.
year	authors and title	journal	last update
2018	Segolene Lithfous, Bruno Rossion Electrophysiological individual face adaptation effects with fast periodic visual stimulation resist long interruptions in adaptation published pages: 4-9, ISSN: 0301-0511, DOI: 10.1016/j.biopsycho.2018.01.013	Biological Psychology 133	2019-06-13

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The information about "ELECTROMAD" are provided by the European Opendata Portal: CORDIS opendata.