Comparison of frequency components of EEG and skin potential (quantitative analysis)

 
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Abstract

In the experiment, a local EEG (Fp1) and a skin potential (SP) were recorded when anagrams were tested and several test tasks were performed. The main goal was to compare the structure and dynamics of the frequency components of the local EEG and SP based on a quantitative analysis of the obtained data. With the help of frequency analysis, profiles of frequency dynamics of the total EEG and SP, as well as histograms of distributions of their frequency components, were constructed, among which six typical patterns were singled out. In the series with simultaneous registration of EEG and SP, a high positive correlation of their total signals is established (the minimax range is from 0.70 to 0.94). Along with this, in the frequency patterns of the EEG and SP, some differences in the temporal distribution of the frequency components are found with a shift in the difference of the EEG-SP towards negative values. The possible nature of the general properties of the high-frequency dynamics of the EEG and SP is discussed. The obtained data are important, in particular, when interpreting the results of experiments with the simultaneous recording of several psychophysiological indices.

General Information

Keywords: skin potential, electro-encephalogram, biorhythm, frequency analysis

Journal rubric: Psychophysiology

OpenAlex citations: 2

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

Information about the work in OpenAlex

Number of citations: 2

Topics

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

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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

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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

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Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2018110207

Published

For citation: Nazarov, A.I. (2018). Comparison of frequency components of EEG and skin potential (quantitative analysis). Experimental Psychology (Russia), 11(2), 95–109. (In Russ.). https://doi.org/10.17759/exppsy.2018110207

© Nazarov A.I., 2018

License: CC BY-NC 4.0

References

  1. Kalashnikov V.N. Elektricheskoe soprotivlenie kozhi kak indikator psikhofiziologicheskogo sostoyaniya cheloveka [Elektronnyi resurs] [Electrical skin resistence as indicator of human psychophysiological status]. Available at: http://www.osoznanie.biz/info/concept_gar.pdf (Accessed: 15.07.2016) (In Russ.).
  2. Nagai Y., Critchley H.D., Featherstone E., Trimble M.R., Dolan R.J. Activity in ventromedial prefrontal cortex covaries with sympathetic skin conductance level: a physiological account of a “default mode” of brain function. NeuroImage, 2004, vol. 22, no. 1, pp. 243—251. doi: 10.1016/j.neuroimage.2004.01.019
  3. Nazarov A.I. Sravnenie chastotnyh komponent ehlektrokozhnoj aktivnosti i EEG (kachestvennyj analiz) [Comparing frequency components of EEG (qualitative analysis)]. Eksperimental’naya psihologiya [Experimental Psychology], 2017, vol. 10, no. 2, pp. 104—113. (In Russ.). doi:10.17759/exppsy.2017100209.

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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