Title
Different regressors for linear modelling of ElectroEncephaloGraphic recordings in visual and auditory tasks
Date Issued
18 July 2016
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
The use of hierarchical linear modelling has been increasing in the last 5 years to analyze EEG data. Until now, no clear comparison on linear modelling in different modalities has been done. Therefore, specific differences observed in both visual and auditory paradigms were computed with linear modelling. The Coefficient of Determination through the explained variance (R2) in Linear Modelling was sought in visual and auditory modalities. ERP scalp series of time from 100 to 300 ms for the visual task and around 150 ms to 400 for the auditory task were also plotted. Although these paradigms use different regressors, both paradigms showed reliable R2 signatures across the participants and reliable ERP scalp maps. Results accounted for different magnitudes in greater R2 values for visual modality. Auditory R2 results appeared with a reliable linear modelling when compared with R2 studies in other subjects.
Start page
260
End page
265
Language
English
OCDE Knowledge area
Neurociencias
Tecnología médica de laboratorio (análisis de muestras, tecnologías para el diagnóstico)
Scopus EID
2-s2.0-84983381628
ISBN
9781509030873
Resource of which it is part
BSN 2016 - 13th Annual Body Sensor Networks Conference
ISBN of the container
978-150903087-3
Sources of information:
Directorio de Producción Científica
Scopus