• Computerized processing of EEG...

Treffer: Computerized processing of EEG-EOG-EMG artifacts for multi-centric studies in EEG oscillations and event-related potentials

Title:
Computerized processing of EEG-EOG-EMG artifacts for multi-centric studies in EEG oscillations and event-related potentials
Authors:
MORETTI, D. V, BABILONI, F, CARDUCCI, F, CINCOTTI, F, REMONDINI, E, ROSSINI, P. M, SALINARI, S, BABILONI, C
Source:
International journal of psychophysiology. 47(3):199-216
Publisher Information:
Shannon: Elsevier Science, 2003.
Publication Year:
2003
Physical Description:
print, 1 p.3/4
Original Material:
INIST-CNRS
Subject Terms:
Psychophysiology, Psychophysiologie, Psychology, psychopathology, psychiatry, Psychologie, psychopathologie, psychiatrie, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Psychologie. Psychophysiologie, Psychology. Psychophysiology, Psychophysiologie du comportement, Behavioral psychophysiology, Electrophysiologie, Electrophysiology, Psychologie. Psychanalyse. Psychiatrie, Psychology. Psychoanalysis. Psychiatry, Electrophysiologie, Electrophysiology, Electrofisiología, Méthodologie, Methodology, Metodología, Analyse assistée, Computer aided analysis, Análisis asistido, Artefact, Artefacto, Contrôle moteur, Motor control, Control motor, Electroencéphalographie, Electroencephalography, Electroencefalografía, Electromyographie, Electromyography, Electromiografía, Electrooculographie, Electrooculography, Electrooculografía, Homme, Human, Hombre, Logiciel, Software, Logicial, Méthode mesure, Measurement method, Método medida, Potentiel évoqué cognitif, Event evoked potential, Potencial evocado cognitivo
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Dipartimento di Fisiologia Umana e Farmacologia, Sezione di EEG ad Alta Risoluzione, Università degli studi di Roma La Sapienza, P.le Aldo Moro, 5, 00185 Rome, Italy
IRCCS S. Giovanni di Dio-F.B.F., Brescia, Italy
A.Fa.R. IRCCS Div. di Neurologia, Osp. FBF Isola Tiberina, Rome, Italy
Clinica Neurologica, Università Campus Biomedico, Rome, Italy
Dip. di Informatica e Sistemistica, Università di Roma La Sapienza, Rome, Italy
ISSN:
0167-8760
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=14611680
Rights:
Copyright 2003 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Psychology. Ethology

FRANCIS
Accession Number:
edscal.14611680
Database:
PASCAL Archive

Weitere Informationen

The aim of this study is to present a package including standard software for the electroencephalographic (EEG), electro-oculographic (EOG) and electromyographic (EMG) preliminary data analysis, which may be suitable to standardize the results of many EEG research centers studies (i.e. multi-centric studies) especially focused on event-related potentials. In particular, our software package includes (semi)automatic procedures for (i) EOG artifact detection and correction, (ii) EMG analysis, (iii) EEG artifact analysis, (iv) optimization of the ratio between artifact-free EEG channels and trials to be rejected. The performances of the software package on EOG-EEG-EMG data related to cognitive-motor tasks were evaluated with respect to the preliminary data analysis performed by two expert electroencephalographists (gold standard). Due to its extreme importance for multi-centric EEG studies, we compared the performances of two representative 'regression' methods for the EOG correction in time and frequency domains. The aim was the selection of the most suitable method in the perspective of a multi-centric EEG study. The results showed an acceptable agreement of approximately 95% between the human and software behaviors, for the detection of vertical and horizontal EOG artifacts, the measurement of hand EMG responses for a cognitive-motor paradigm, the detection of involuntary mirror movements, and the detection of EEG artifacts. Furthermore, our results indicated a particular reliability of a 'regression' EOG correction method operating in time domain (i.e. ordinary least squares). These results suggest that such a software package could be used for multi-centric EEG studies.