• Mon espace de travail
  • Aide IRIS
  • Par Publication Par Personne Par Unité
    • English
    • Français
  • Se connecter
Logo du site

IRIS | Système d’Information de la Recherche Institutionnelle

  • Accueil
  • Personnes
  • Publications
  • Unités
  • Périodiques
UNIL
  • English
  • Français
Se connecter
IRIS
  • Accueil
  • Personnes
  • Publications
  • Unités
  • Périodiques
  • Mon espace de travail
  • Aide IRIS

Parcourir IRIS

  • Par Publication
  • Par Personne
  • Par Unité
  1. Accueil
  2. IRIS
  3. Publication
  4. Attention-related potentials allow for a highly accurate discrimination of mild cognitive impairment subtypes.
 
  • Détails
Titre

Attention-related potentials allow for a highly accurate discrimination of mild cognitive impairment subtypes.

Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Neurodegenerative Diseases  
Auteur(s)
Missonnier, P.
Auteure/Auteur
Herrmann, F.R.
Auteure/Auteur
Richiardi, J.
Auteure/Auteur
Rodriguez, C.
Auteure/Auteur
Deiber, M.P.
Auteure/Auteur
Gold, G.
Auteure/Auteur
Giannakopoulos, P.
Auteure/Auteur
Liens vers les personnes
Giannakopoulos, Panteleimon  
Richiardi, Jonas  
Liens vers les unités
Psychiat. âge avancé (SUPAA) Centre  
ISSN
1660-2862
Statut éditorial
Publié
Date de publication
2013
Volume
12
Numéro
2
Première page
59
Dernière page/numéro d’article
70
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't Publication Status: ppublish
Résumé
The three most frequent forms of mild cognitive impairment (MCI) are single-domain amnestic MCI (sd-aMCI), single-domain dysexecutive MCI (sd-dMCI) and multiple-domain amnestic MCI (md-aMCI). Brain imaging differences among single domain subgroups of MCI were recently reported supporting the idea that electroencephalography (EEG) functional hallmarks can be used to differentiate these subgroups. We performed event-related potential (ERP) measures and independent component analysis in 18 sd-aMCI, 13 sd-dMCI and 35 md-aMCI cases during the successful performance of the Attentional Network Test. Sensitivity and specificity analyses of ERP for the discrimination of MCI subgroups were also made. In center-cue and spatial-cue warning stimuli, contingent negative variation (CNV) was elicited in all MCI subgroups. Two independent components (ICA1 and 2) were superimposed in the time range on the CNV. The ICA2 was strongly reduced in sd-dMCI compared to sd-aMCI and md-aMCI (4.3 vs. 7.5% and 10.9% of the CNV component). The parietal P300 ERP latency increased significantly in sd-dMCI compared to md-aMCI and sd-aMCI for both congruent and incongruent conditions. This latency for incongruent targets allowed for a highly accurate separation of sd-dMCI from both sd-aMCI and md-aMCI with correct classification rates of 90 and 81%, respectively. This EEG parameter alone performed much better than neuropsychological testing in distinguishing sd-dMCI from md-aMCI. Our data reveal qualitative changes in the composition of the neural generators of CNV in sd-dMCI. In addition, they document an increased latency of the executive P300 component that may represent a highly accurate hallmark for the discrimination of this MCI subgroup in routine clinical settings.
PID Serval
serval:BIB_9C19236D5FF3
DOI
10.1159/000338815
PMID
22964883
WOS
000322557800001
Permalien
https://iris.unil.ch/handle/iris/176780
Date de création
2013-08-30T15:30:10.808Z
Date de création dans IRIS
2025-05-21T00:39:11Z
Fichier(s)
En cours de chargement...
Vignette d'image
Nom

BIB_9C19236D5FF3.P001.pdf

Version du manuscrit

preprint

Taille

1.25 MB

Format

Adobe PDF

PID Serval

serval:BIB_9C19236D5FF3.P001

Somme de contrôle

(MD5):325c25ad51a72d346410dfd9bf3de5a1

  • Copyright © 2024 UNIL
  • Informations légales