Topography Estimation of Visual Evoked Potentials Using a Combination of Mathematical Models

Topography Estimation of Visual Evoked Potentials Using a Combination of Mathematical Models

Takenao Sugi (Saga University, Japan), Kazuhiko Goto (Saga University, Japan), Satoru Goto (Saga University, Japan), Yoshinobu Goto (International University of Health and Welfare, Japan), Takao Yamasaki (Kyushu University, Japan) and Shozo Tobimatsu (Kyushu University, Japan)
DOI: 10.4018/978-1-4666-2113-8.ch014
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This study proposes a method for estimating the topographical distribution of Visual Evoked Potentials (VEPs) from separated power spectrum components by a combination of models. VEPs with various temporal frequencies were recorded from nine healthy adults. The original power spectrum consisted of the VEP; background activities, artifacts, and other components were then obtained. To extract the VEP components from the original power spectrum, models corresponding to background activities, especially for posterior alpha rhythm, the low-frequency component and the high-frequency component, caused due to the EMG artifact, were constructed, and the relevant parameters were estimated. Finally, VEP components were calculated by subtracting them from the original power spectrum. The topographical distribution of the first harmonic (1F) and second harmonic (2F) components of the VEP were obtained by the proposed method. The estimation of the other components, aside from the VEPs, was also investigated. The merits and usefulness of the proposed method were analyzed with a comparison to the conventional stimulus-locked averaging method. The proposed method has several advantageous points compared to the conventional averaging method. Specifically, the posterior alpha rhythm and the EMG artifact were accounted for directly in the estimation of the VEP components. Therefore, an accurate estimation of the VEP components can be performed even the measurement of the components are prone to the error.
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Data Acquisition

EEGs were recorded at the International University of Welfare, and the subjects used in this study were nine healthy young adults who ranged in age from 21-25 years. Each subject was seated in a dark room and gazed at a point that was displayed at the center of the monitor. The distance between the subject and the monitor was 0.57 m. Black and white flicker stimuli were displayed to the subject and were presented continuously for 50 s at temporal frequencies that ranged from 6 to 12 Hz. EEGs were recorded with a sampling frequency of 200 Hz and with a filter setting of 0.53-60 Hz. Electrodes were placed at Oz, O1, O2, Pz, P3, P4, Cz, C3, C4, T3, T4, T5 and T6 according to the International 10-20 system (Klem, Luders, Jasper, & Elger, 1999), and all of the EEGs were derived using the reference electrode at Fz.

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