Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Recording and analyzing high-density event-related potentials with infantsusing the Geodesic sensor net
Autore:
Johnson, MH; de Haan, M; Oliver, A; Smith, W; Hatzakis, H; Tucker, LA; Csibra, G;
Indirizzi:
Univ London Birkbeck Coll, Ctr Brain & Cognit Dev, London WC1E 7HX, England Univ London Birkbeck Coll London England WC1E 7HX ndon WC1E 7HX, England Univ Coll London, Inst Child Hlth, London WC1E 6BT, England Univ Coll London London England WC1E 6BT Hlth, London WC1E 6BT, England Univ Coll London, Dept Phonet, London WC1E 6BT, England Univ Coll London London England WC1E 6BT honet, London WC1E 6BT, England
Titolo Testata:
DEVELOPMENTAL NEUROPSYCHOLOGY
fascicolo: 3, volume: 19, anno: 2001,
pagine: 295 - 323
SICI:
8756-5641(2001)19:3<295:RAAHEP>2.0.ZU;2-E
Fonte:
ISI
Lingua:
ENG
Soggetto:
INDEPENDENT COMPONENT ANALYSIS; BLIND SEPARATION; EEG; SURFACE; BRAIN; DECONVOLUTION; GUIDELINES;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
31
Recensione:
Indirizzi per estratti:
Indirizzo: Johnson, MH Univ London Birkbeck Coll, Ctr Brain & Cognit Dev, Malet St, London WC1E 7HX, England Univ London Birkbeck Coll Malet St London England WC1E 7HX nd
Citazione:
M.H. Johnson et al., "Recording and analyzing high-density event-related potentials with infantsusing the Geodesic sensor net", DEV NEUROPS, 19(3), 2001, pp. 295-323

Abstract

This article provides an overview of the use of the Geodesic sensor net system for high-density event-related potential (ERP) recording in infants. Some advantages and disadvantages of the system, as applied to infants, are discussed. First, we illustrate that high-density data can be recorded frominfants at comparable quality to that observed with conventional (low density) ERP methods. Second, we discuss ways to utilize the greater spatial information available by applying source separation and localization procedures. In particular, we focus on the application of one recent source separation method, Independent Component Analysis (ICA). Finally, we show that source localization can be applied to infant high-density data, although this entails adopting a number of assumptions that remain to be verified. In thefuture, with improved source separation algorithms, we suggest that single-trial or single-subject analyses may become feasible.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 30/11/20 alle ore 19:53:50