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J Neurosci Methods ; 251: 7-16, 2015 Aug 15.
Artículo en Inglés | MEDLINE | ID: mdl-25936849

RESUMEN

BACKGROUND: Electroencephalography (EEG) is still a widely used imaging tool that combines high temporal resolution with a relatively low cost. Ag/AgCl metal electrodes have been the gold standard for non-invasively monitoring electrical brain activity. Although reliable, these electrodes have multiple drawbacks: they suffer from noise, such as offset potential drift, and usability issues, for example, difficult skin preparation and cross-coupling of adjacent electrodes. NEW METHOD: In order to tackle these issues a prototype Electric Potential Sensor (EPS) device based on an auto-zero operational amplifier was developed and evaluated. The EPS is a novel active ultrahigh impedance capacitively coupled sensor. The absence of 1/f noise makes the EPS ideal for use with signal frequencies of ∼10Hz or less. A comprehensive study was undertaken to compare neural signals recorded by the EPS with a standard commercial EEG system. RESULTS: Quantitatively, highly similar signals were observed between the EPS and EEG sensors for both free running and evoked brain activity with cross correlations of higher than 0.9 between the EPS and a standard benchmark EEG system. COMPARISON WITH EXISTING METHOD(S): These studies comprised measurements of both free running EEG and Event Related Potentials (ERPs) from a commercial EEG system and EPS. CONCLUSIONS: The EPS provides a promising alternative with many added benefits compared to standard EEG sensors, including reduced setup time and elimination of sensor cross-coupling. In the future the scalability of the EPS will allow the implementation of a whole head ultra-dense EPS array.


Asunto(s)
Ondas Encefálicas/fisiología , Encéfalo/fisiología , Electrodos , Potenciales Evocados/fisiología , Percepción Visual/fisiología , Mapeo Encefálico/instrumentación , Mapeo Encefálico/métodos , Impedancia Eléctrica , Electroencefalografía , Diseño de Equipo , Humanos , Estimulación Luminosa , Análisis Espectral
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