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Titolo:
Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects
Autore:
Jung, TP; Makeig, S; Westerfield, M; Townsend, J; Courchesne, E; Sejnowski, TJ;
Indirizzi:
Univ Calif San Diego, Inst Neural Computat, Dept 0523, La Jolla, CA 92093 USA Univ Calif San Diego La Jolla CA USA 92093 t 0523, La Jolla, CA 92093 USA Salk Inst, Howard Hughes Med Inst, San Diego, CA 92186 USA Salk Inst San Diego CA USA 92186 Hughes Med Inst, San Diego, CA 92186 USA Salk Inst, Computat Neurobiol Lab, San Diego, CA 92186 USA Salk Inst San Diego CA USA 92186 t Neurobiol Lab, San Diego, CA 92186 USA USN, Hlth Res Ctr, San Diego, CA 92186 USA USN San Diego CA USA 92186USN, Hlth Res Ctr, San Diego, CA 92186 USA Childrens Hosp Res Ctr, La Jolla, CA 92037 USA Childrens Hosp Res Ctr La Jolla CA USA 92037 Ctr, La Jolla, CA 92037 USA
Titolo Testata:
CLINICAL NEUROPHYSIOLOGY
fascicolo: 10, volume: 111, anno: 2000,
pagine: 1745 - 1758
SICI:
1388-2457(200010)111:10<1745:ROEAAF>2.0.ZU;2-6
Fonte:
ISI
Lingua:
ENG
Soggetto:
INDEPENDENT COMPONENT ANALYSIS; SPATIAL ATTENTION; ELECTROENCEPHALOGRAPHIC RECORDINGS; BLIND SEPARATION; FREQUENCY-DOMAIN; EEG; RESPONSES; AUTISM;
Keywords:
artifact removal; electrooculographic; independent component analysis; single-trial event-related potentials; event-related potential;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
37
Recensione:
Indirizzi per estratti:
Indirizzo: Jung, TP Univ Calif San Diego, Inst Neural Computat, Dept 0523, La Jolla, CA 92093 USA Univ Calif San Diego La Jolla CA USA 92093 a Jolla, CA 92093 USA
Citazione:
T.P. Jung et al., "Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects", CLIN NEU, 111(10), 2000, pp. 1745-1758

Abstract

Objectives: Electrical potentials produced by blinks and eye movements present serious problems for electroencephalographic (EEG) and event-related potential (ERP) data interpretation and analysis, particularly for analysis of data from some clinical populations. Often, all epochs contaminated by large eye artifacts are rejected as unusable, though this may prove unacceptable when blinks and eye movements occur frequently. Methods: Frontal channels are often used as reference signals to regress out eye artifacts, but inevitably portions of relevant EEG signals also appearing in EOG channels are thereby eliminated or mixed into other scalp channels. A generally applicable adaptive method for removing artifacts from EEG records based on blind source separation by independent component analysis (ICA) (Neural Computation 7 (1995) 1129; Neural Computation 10(8) (1998) 2103; Neural Computation 11(2) (1999) 606) overcomes these limitations. Results: Results on EEG data collected from 28 normal controls and 22 clinical subjects performing a visual selective attention task show that ICA can be used to effectively detect, separate and remove ocular artifacts from even strongly contaminated EEG recordings. The results compare favorably tothose obtained using rejection or regression methods. Conclusions: The ICA method can preserve ERP contributions from all of therecorded trials and all the recorded data channels, even when none of the single trials are artifact-free. (C) 2000 Elsevier Science ireland Ltd. Allrights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/03/20 alle ore 17:49:34