Recurrence Method in the Analysis of Electroen- cephalographic Signals in Healthy Adults under Light-Dark Conditions

Recurrence Method in the Analysis of Electroen- cephalographic Signals in Healthy Adults under Light-Dark Conditions | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Recurrence Method in the Analysis of Electroen- cephalographic Signals in Healthy Adults under Light-Dark Conditions Piotr Weber, Kamila Łaszewska This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7563900/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract We analyze electroencephalographic signals (EEG signals) using numerical methods. These signals were collected during an experiment where each person was exposed to light of two different colors (blue and red) in contrast to the dark. In addition to linear signal filtering methods applied to EEG signals, we used in current study a non-linear method, recurrence plot, to characterize the system that produces them. Taking into account Takens theorem, we obtain a set of vectors that were built from the value of the EEG signals. Then we analyze the distance matrix between vectors obtained from the one chosen EEG signal. Based on these matrices we perform recurrence quantification analysis, and calculate: percent determinism, Shannon entropy and average line length. They gives information about changes in the dynamics of the sources producing the EEG signal under light-dark conditions. We demonstrate that light selectively affects EEG signal sources. Their effects are also differentiated by changes in the dynamic properties of these sources. Biological sciences/Computational biology and bioinformatics Physical sciences/Engineering Biological sciences/Neuroscience Full Text Additional Declarations No competing interests reported. I Piotr Weber state, that the Participants consented to participate in the study. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7563900","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":516070529,"identity":"b552f851-cc05-49c7-9563-206a95608816","order_by":0,"name":"Piotr Weber","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6klEQVRIiWNgGAWjYDACZihtwMDA+ADMOgDED/BrYWyAamE2gGtJwG8PXAubBFFazNmZjz+uYDgsZ87e+6y64BeDHN+NBLYH+LRYNrMlNp5hOGxs2XPc7PbMPgZjyRsJ7Ab4tBgc5jFsbGC4nbjhRhrbbd4eBiAjgU2CGC31G+4/YysGaqknWkuCwQ02NmaeHwxABgEtIL/MbDD4b7izJ41ZemaDhOHMMw/b8frFnP/wgY8NFWny5uzHGD8X/LGR5zuefOzBB3wOQyIZmBnbQFHD2IZHA1wxVAvDHzDNhlfLKBgFo2AUjDgAAGInTXrlCyvjAAAAAElFTkSuQmCC","orcid":"","institution":"Gdańsk University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Piotr","middleName":"","lastName":"Weber","suffix":""},{"id":516070530,"identity":"3ec4ea59-015d-4766-971f-52550c398c43","order_by":1,"name":"Kamila Łaszewska","email":"","orcid":"","institution":"Nicolaus Copernicus University","correspondingAuthor":false,"prefix":"","firstName":"Kamila","middleName":"","lastName":"Łaszewska","suffix":""}],"badges":[],"createdAt":"2025-09-08 11:53:29","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7563900/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7563900/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":92130176,"identity":"18207804-5052-4746-9f36-a252938514c9","added_by":"auto","created_at":"2025-09-25 02:52:57","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":751798,"visible":true,"origin":"","legend":"","description":"","filename":"ScientificReportsPWKL2025.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7563900/v1/55ff60acf5659971ff670d27.pdf"},{"id":92130171,"identity":"ba61aaa9-62ab-4969-94a3-9716e26c04de","added_by":"auto","created_at":"2025-09-25 02:52:57","extension":"json","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":4155,"visible":true,"origin":"","legend":"","description":"","filename":"0b6bca522ed04e89bebb86f43060cdc8.json","url":"https://assets-eu.researchsquare.com/files/rs-7563900/v1/6ea2b8be71363e0e8c08eeb6.json"},{"id":94099722,"identity":"effc23a2-b81f-41b2-bb83-5be860da3719","added_by":"auto","created_at":"2025-10-22 10:54:00","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":849967,"visible":true,"origin":"","legend":"","description":"","filename":"ScientificReportsPWKL2025.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7563900/v1_covered_c37a8c4e-55f4-48a9-a1cd-ea2174ab53c6.pdf"}],"financialInterests":"\u003cp\u003eNo competing interests reported.\u003c/p\u003e\n\u003cp\u003eI Piotr Weber state, that the Participants consented to participate in the study.\u003c/p\u003e","formattedTitle":"Recurrence Method in the Analysis of Electroen- cephalographic Signals in Healthy Adults under Light-Dark Conditions","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-7563900/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7563900/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWe analyze electroencephalographic signals (EEG signals) using numerical methods. 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