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Experimental Psychology (Russia)
2017. Vol. 10, no. 2, 104–113
https://doi.org/10.17759/exppsy.2017100209
ISSN: 2072-7593 / 2311-7036 (online)

Comparison of the EDA and EEG frequency components (qualitative analysis)

 
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Abstract

The author recorded galvanic skin response (GSR, Feret method), skin potential (SP, Tarkhanov method) and local frontal encephalogram (Fp1). GSR was recorded with an amplifier bandwidth of 0.05-1 Hz, SP and EEG amplified with biopotential broadband amplifiers in the range 0.05-300 Hz. SP and local EEG signals were processed by the same algorithm. We obtained profiles of SP and EEG containing topologically similar low (LF) and high frequency (HF) components in the range of 0.05-45 Hz. LF-components of SP and EEG in some subjects were identical (in phase) of the GSR, in other subjects they were antiphased, in still others both types were observed. High-frequency components of SP contained rhythms, similar to EEG rhythms (Delta, Theta, Alpha, Beta, Gamma). However, frequency analysis showed that SP rhythms differ from local EEG rhythms in power and frequency distribution. The findings are discussed in the context of the nature of biorhythms.

General Information

Keywords: galvanic skin response, skin potential, electroencephalogram, biorhythms, frequency analysis

Journal rubric: Psychophysiology

OpenAlex citations: 1

OpenAlex trends: EEG and Brain-Computer Interfaces, Neural dynamics and brain function, Functional Brain Connectivity Studies

Information about the work in OpenAlex

Number of citations: 1

Topics

EEG and Brain-Computer Interfaces

This cluster of papers focuses on the development and application of Brain-Computer Interfaces (BCIs) in neuroscience and medicine. It covers topics such as EEG analysis, neuroprosthetics, BCI technology, motor imagery, epilepsy detection, cortical control, neural ensemble physiology, BCI communication, and deep learning for EEG decoding.

Number of works: 166682  |  Total number of citations: 2481553

Topic detailsв OpenAlex

Neural dynamics and brain function

This cluster of papers explores the dynamics of neuronal oscillations, synchronization, and neural activity in cortical networks. It investigates the role of gamma rhythms, interneurons, and sensory processing, as well as their implications for working memory, neural synchrony, and cognitive functions.

Number of works: 137870  |  Total number of citations: 4625432

Topic detailsв OpenAlex

Functional Brain Connectivity Studies

This cluster of papers focuses on the analysis of brain functional connectivity networks using techniques such as resting-state fMRI, default mode network activity, cortical parcellation, and graph theoretical analysis. It explores the organization, development, and dysfunction of brain networks in various neurological disorders.

Number of works: 122645  |  Total number of citations: 3375691

Topic detailsв OpenAlex

Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2017100209

Published

For citation: Nazarov, A.I. (2017). Comparison of the EDA and EEG frequency components (qualitative analysis). Experimental Psychology (Russia), 10(2), 104–113. (In Russ.). https://doi.org/10.17759/exppsy.2017100209

© Nazarov A.I., 2017

License: CC BY-NC 4.0

References

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Information About the Authors

Anatoly I. Nazarov, Candidate of Science (Psychology), Head of the laboratory of experimental psychology, Department of Psychology, FSGN, State University “Dubna”, Dubna, Russian Federation, ORCID: https://orcid.org/0000-0002-5844-0688, e-mail: koval39@inbox.ru

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