Topographic ERP analyses: a step-by-step tutorial review.

Détails

Ressource 1Télécharger: serval:BIB_44718577517C.P001 (612.46 [Ko])
Etat: Public
Version: de l'auteur
Licence: Non spécifiée
It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
ID Serval
serval:BIB_44718577517C
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
Institution
Titre
Topographic ERP analyses: a step-by-step tutorial review.
Périodique
Brain Topography
Auteur(s)
Murray M.M., Brunet D., Michel C.M.
ISSN
0896-0267
Statut éditorial
Publié
Date de publication
2008
Peer-reviewed
Oui
Volume
20
Numéro
4
Pages
249-264
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Review
Résumé
In this tutorial review, we detail both the rationale for as well as the implementation of a set of analyses of surface-recorded event-related potentials (ERPs) that uses the reference-free spatial (i.e. topographic) information available from high-density electrode montages to render statistical information concerning modulations in response strength, latency, and topography both between and within experimental conditions. In these and other ways these topographic analysis methods allow the experimenter to glean additional information and neurophysiologic interpretability beyond what is available from canonical waveform analyses. In this tutorial we present the example of somatosensory evoked potentials (SEPs) in response to stimulation of each hand to illustrate these points. For each step of these analyses, we provide the reader with both a conceptual and mathematical description of how the analysis is carried out, what it yields, and how to interpret its statistical outcome. We show that these topographic analysis methods are intuitive and easy-to-use approaches that can remove much of the guesswork often confronting ERP researchers and also assist in identifying the information contained within high-density ERP datasets.
Mots-clé
Brain Mapping, Electrodes, Electroencephalography, Evoked Potentials/physiology, Humans, Reaction Time/physiology, Reference Values
Pubmed
Web of science
Open Access
Oui
Création de la notice
29/10/2009 15:49
Dernière modification de la notice
25/09/2019 7:09
Données d'usage