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Directionality of Interpersonal Neural Influence in fNIRS Hyperscanning: Validation of a Spectral Causality Approach in a Motor Task | 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 Search Search ADVANCED SEARCH SCROLL European Journal of Neuroscience This is a preprint and has not been peer reviewed. Data may be preliminary. 20 February 2025 V1 Latest version Share on Directionality of Interpersonal Neural Influence in fNIRS Hyperscanning: Validation of a Spectral Causality Approach in a Motor Task Authors : Maha Shadaydeh 0000-0001-6455-2400 [email protected] , Vanessa Nöring , Marcel Franz , Tara Chand 0009-0000-9275-371X , Ilona Croy , and Joachim Denzler Authors Info & Affiliations https://doi.org/10.22541/au.174005886.61068506/v1 556 views 223 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Hyperscanning approaches represent a shift from single- to two-person neuroscience, enabling a more profound understanding of the neural mechanisms underlying interpersonal synchronization. In this context, fNIRS has emerged as a valuable tool for measuring brain activity in a natural, unconstrained environment. While interpersonal synchrony using fNIRS hyperscanning has been well studied using statistical association analysis, establishing causal relationships that elucidate the direction of influence remains challenging. This study aimed to investigate the feasibility of testing the direction of influence in dyadic interactions. Since the ground truth of such direction is not available in a natural setting, we validated our approach in an experimental setup in which we controlled the direction of influence between two subjects by assigning them the roles of ’Model’ and ’Imitator’ of specified motor tasks. A total of 22 participants, hence 11 dyads, completed the task in a within-subject design. We adapted concepts from spectral causal-effect decomposition theories to formulate a new measure of the direction and intensity of influence. The results of this study demonstrate that the direction of influence in the fNIRs data of motor tasks can be detected with an Accuracy in the range of 69-88%. Furthermore, the proposed spectral causality measure was shown to significantly reduce spurious causal relationships due to the confounding effects of physiological processes and measurement artifacts compared to time-domain causal analysis. Supplementary Material File (fnirs_causality_feb2025.pdf) Download 4.07 MB Information & Authors Information Version history V1 Version 1 20 February 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Collection European Journal of Neuroscience Keywords fnirs hyperscanning interpersonal synchronisation mutual information decomposition social interaction spectral causality Authors Affiliations Maha Shadaydeh 0000-0001-6455-2400 [email protected] FSU Jena View all articles by this author Vanessa Nöring FSU Jena View all articles by this author Marcel Franz FSU Jena View all articles by this author Tara Chand 0009-0000-9275-371X O P Jindal Global (Institution of Eminence Deemed To Be University) Jindal Institute of Behavioural Sciences View all articles by this author Ilona Croy FSU Jena View all articles by this author Joachim Denzler FSU Jena View all articles by this author Metrics & Citations Metrics Article Usage 556 views 223 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Maha Shadaydeh, Vanessa Nöring, Marcel Franz, et al. Directionality of Interpersonal Neural Influence in fNIRS Hyperscanning: Validation of a Spectral Causality Approach in a Motor Task. Authorea . 20 February 2025. DOI: https://doi.org/10.22541/au.174005886.61068506/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 . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); Cited by Edoardo Chidichimo, Andrea I. Luppi, Pedro A. M. Mediano, Victoria Leong, Guillaume Dumas, Andrés Canales-Johnson, Richard A. I. Bethlehem, Towards an informational account of interpersonal coordination, Nature Reviews Neuroscience, 27 , 2, (121-137), (2025). https://doi.org/10.1038/s41583-025-00989-0 Crossref Loading... View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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