Electrophysiological markers of rapid cognitive decline in mild cognitive impairment

Détails

ID Serval
serval:BIB_F2B72609B00A
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Titre
Electrophysiological markers of rapid cognitive decline in mild cognitive impairment
Périodique
Frontiers of neurology and neuroscience
Auteur(s)
Giannakopoulos P., Missonnier P., Kövari E., Gold G., Michon A.
ISSN
1660-4431
Statut éditorial
Publié
Date de publication
2009
Peer-reviewed
Oui
Volume
24
Pages
39-46
Langue
anglais
Notes
Publication types: Journal Article - Publication Status: ppublish
Résumé
Electroencephalography (EEG) is an easily accessible and low-cost modality that might prove to be a particularly powerful tool for the identification of subtle functional changes preceding structural or metabolic deficits in progressive mild cognitive impairment (PMCI). Most previous contributions in this field assessed quantitative EEG differences between healthy controls, MCI and Alzheimer's disease(AD) cases leading to contradictory data. In terms of MCI conversion to AD, certain longitudinal studies proposed various quantitative EEG parameters for an a priori distinction between PMCI and stable MCI. However, cross-sectional comparisons revealed a substantial overlap in these parameters between MCI patients and elderly controls. Methodological differences including variable clinical definition of MCI cases and substantial interindividual differences within the MCI group could partly explain these discrepancies. Most importantly, EEG measurements without cognitive demand in both cross-sectional and longitudinal designs have demonstrated limited sensitivity and generally do not produce significant group differences in spectral EEG parameters. Since the evolution of AD is characterized by the progressive loss of functional connectivity within neocortical association areas, event-modulated EEG dynamic analysis which makes it possible to investigate the functional activation of neocortical circuits may represent a more sensitive method to identify early alterations of neuronal networks predictive of AD development among MCI cases. The present review summarizes clinically significant results of EEG activation studies in this field and discusses future perspectives of research aiming to reach an early and individual prediction of cognitive decline in healthy elderly controls.
Pubmed
Création de la notice
02/04/2009 15:25
Dernière modification de la notice
03/03/2018 22:40
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