TY - GEN
T1 - Different regressors for linear modelling of ElectroEncephaloGraphic recordings in visual and auditory tasks
AU - Mugruza-Vassallo, Carlos
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/18
Y1 - 2016/7/18
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84983381628&partnerID=8YFLogxK
U2 - 10.1109/BSN.2016.7516270
DO - 10.1109/BSN.2016.7516270
M3 - Conference contribution
AN - SCOPUS:84983381628
T3 - BSN 2016 - 13th Annual Body Sensor Networks Conference
SP - 260
EP - 265
BT - BSN 2016 - 13th Annual Body Sensor Networks Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th Annual Body Sensor Networks Conference, BSN 2016
Y2 - 14 June 2016 through 17 June 2016
ER -