title: Computerized processing of EEG-EOG-EMG artifacts for multi-centric studies in EEG oscillations and event-related potentials.
abstract: 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.
authors.affiliation: Dipartimento di Fisiologia Umana e Farmacologia, Sezione di EEG ad Alta Risoluzione, Università degli studi di Roma La Sapienza, Piazza le Aldo Moro 5, 00185 Rome, Italy. davide.moretti@uniroma1.it
authors.forename: D V
authors.initials: DV
authors.lastname: Moretti
authors.forename: F
authors.initials: F
authors.lastname: Babiloni
authors.forename: F
authors.initials: F
authors.lastname: Carducci
authors.forename: F
authors.initials: F
authors.lastname: Cincotti
authors.forename: E
authors.initials: E
authors.lastname: Remondini
authors.forename: P M
authors.initials: PM
authors.lastname: Rossini
authors.forename: S
authors.initials: S
authors.lastname: Salinari
authors.forename: C
authors.initials: C
authors.lastname: Babiloni
mesh_terms: D000465:Algorithms; D001683:Biological Clocks / Q000502:physiology*; D016001:Confidence Intervals; D004569:Electroencephalography / Q000379:methods / Q000592:standards*; D004576:Electromyography / Q000379:methods / Q000592:standards; D004585:Electrooculography / Q000379:methods / Q000592:standards; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D016018:Least-Squares Analysis; D015337:Multicenter Studies as Topic / Q000379:methods / Q000592:standards*; D012984:Software / Q000592:standards*