The Skin Conductance Response Related EEG Oscillations -- A Computational Modeling Evidence

The Skin Conductance Response Related EEG Oscillations -- A Computational Modeling Evidence | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL Psychophysiology This is a preprint and has not been peer reviewed. Data may be preliminary. 16 August 2025 V1 Latest version Share on The Skin Conductance Response Related EEG Oscillations -- A Computational Modeling Evidence Author : Saša Branković 0000-0003-0475-5358 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.175534043.36137213/v1 Published Psychophysiology Version of record Peer review timeline 197 views 128 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Several lines of evidence suggest a feasibility to define the SCR-related EEG activity. The problem of the precise time localization of the SCR-related oscillations (SCR-ROs) has been resolved through computational dealing with the SCR signal itself and taking into account the variability of latency of the SCR. The SCR-ROs have been identified as delta-frequency EEG activity with an initial deep negative deflection. The thesis about the existence of the SCR-ROs has been tested through a computational modeling study applying the system identification approach considering the SCR-ROs as the output of the system. The study involved 20 participants and the stimuli for the elicitation of the SCR were slide presentations of short stories from the contemporary literature. Single-trial SCR-ROs have shown convenient for the system identification modeling approach. The EEG epochs were 1.5 seconds long and delays between the SCR-ROs and the respective SCRs were 0.7-4.0 seconds. Obtained values of the system parameters in the whole sample of the single-trial based models of the SCR-ROs have a modest variability. Validity of the concept of the SCR-ROs was tested by a Monte Carlo analysis at the level of each participant. The difference in average, median, and maximum value of the model fit in the system identification modeling between the true, SCR-ROs and fake EEG epochs were significant at the level p<0.001 in the sense of better fit in the true SCR-related epochs in 17 participants and in 3 subjects the significance reached the level of p<0.05. The result points to a causal link between the signals of the SCR system and the related delta-EEG fluctuations, contributes to the validity of the concept of the SCR-ROs, and suggests possibility for a psychophysiological observability of the neural system which is shared by processes which generate both the SCR and the SCR-ROs. Supplementary Material File (scr-related eeg oscillations.docx) Download 920.58 KB Information & Authors Information Version history V1 Version 1 16 August 2025 Peer review timeline Published Psychophysiology Version of Record 18 Feb 2026 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Collection Psychophysiology Authors Affiliations Saša Branković 0000-0003-0475-5358 [email protected] University Clinical Center of Serbia View all articles by this author Metrics & Citations Metrics Article Usage 197 views 128 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Saša Branković. The Skin Conductance Response Related EEG Oscillations -- A Computational Modeling Evidence. Authorea . 16 August 2025. DOI: https://doi.org/10.22541/au.175534043.36137213/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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