Disparity in temporal and spatial relationships between resting-state electrophysiological and fMRI signals

Disparity in temporal and spatial relationships between resting-state electrophysiological and fMRI signals | 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 Research Article Disparity in temporal and spatial relationships between resting-state electrophysiological and fMRI signals Wenyu Tu, Samuel Cramer, Nanyin Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3251741/v5 This work is licensed under a CC BY 4.0 License Status: Posted Version 5 posted You are reading this latest preprint version Show more versions Abstract Resting-state brain networks (RSNs) have been widely applied in health and disease, but the interpretation of RSNs in terms of the underlying neural activity is unclear. To address this fundamental question, we conducted simultaneous recordings of whole-brain resting-state functional magnetic resonance imaging (rsfMRI) and electrophysiology signals in two separate brain regions of rats. Our data reveal that for both recording sites, spatial maps derived from band-specific local field potential (LFP) power can account for up to 90% of the spatial variability in RSNs derived from rsfMRI signals. Surprisingly, the time series of LFP band power can only explain to a maximum of 35% of the temporal variance of the local rsfMRI time course from the same site. In addition, regressing out time series of LFP power from rsfMRI signals has minimal impact on the spatial patterns of rsfMRI-based RSNs. This disparity in the spatial and temporal relationships between resting-state electrophysiology and rsfMRI signals suggests that electrophysiological activity alone does not fully explain the effects observed in the rsfMRI signal, implying the existence of an rsfMRI component contributed by "electrophysiology-invisible" signals. These findings offer a novel perspective on our understanding of RSN interpretation. Biological sciences/Neuroscience/Neuro–vascular interactions Health sciences/Neurology resting-state fMRI electrophysiology rat Full Text Additional Declarations The authors declare no competing interests. Supplementary Files SIfiguresR1final.pdf Cite Share Download PDF Status: Posted Version 5 posted You are reading this latest preprint version Show more versions 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. 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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-3251741","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":317007423,"identity":"dbdbb04e-94e3-4cac-acce-30aa30d46bb8","order_by":0,"name":"Wenyu Tu","email":"","orcid":"","institution":"Pennsylvania State University","correspondingAuthor":false,"prefix":"","firstName":"Wenyu","middleName":"","lastName":"Tu","suffix":""},{"id":317007424,"identity":"b0b91f48-6643-4c20-8eef-e4352cc9cabd","order_by":1,"name":"Samuel Cramer","email":"","orcid":"","institution":"Pennsylvania State University","correspondingAuthor":false,"prefix":"","firstName":"Samuel","middleName":"","lastName":"Cramer","suffix":""},{"id":317007425,"identity":"0c3b5fa3-6642-49a0-8fc1-e5927247aa30","order_by":2,"name":"Nanyin Zhang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAn0lEQVRIiWNgGAWjYHACxgcfIAwDorUwG84gVQubNA9JWswl0h9I2+6oS2xgb94mQZQWyxkJCca5Zw4nNvAcKyNOi8GNhAPJuW0HEhskcsyI1ZLYcNiyDegw+TdEa0lmbGZsYwbawkOsljPPmBl7zxw2buNJK7YgTsvx9Oc/fu6ok+1nP7zxBlFawICxARg7xCuHaRkFo2AUjIJRgBMAAHNHLeTXrvCOAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0002-5824-9058","institution":"Pennsylvania State University","correspondingAuthor":true,"prefix":"","firstName":"Nanyin","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2023-08-10 09:55:59","currentVersionCode":5,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-3251741/v5","doiUrl":"https://doi.org/10.21203/rs.3.rs-3251741/v5","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":59131369,"identity":"587c44dd-c3f5-4995-a8aa-b81181bd2c76","added_by":"auto","created_at":"2024-06-26 16:54:58","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1438043,"visible":true,"origin":"","legend":"","description":"","filename":"ManuscriptfinalR1finalrevisedclean.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3251741/v5_covered_2dabe08f-62c8-4b56-9e1e-535d7d989910.pdf"},{"id":59130406,"identity":"a028907b-6c86-4829-abd1-57f7e7eb8ead","added_by":"auto","created_at":"2024-06-26 16:38:56","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":6011603,"visible":true,"origin":"","legend":"","description":"","filename":"SIfiguresR1final.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3251741/v5/29d3cd093cdb28b4b2a8d777.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"Disparity in temporal and spatial relationships between resting-state electrophysiological and fMRI signals","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"resting-state fMRI, electrophysiology, rat","lastPublishedDoi":"10.21203/rs.3.rs-3251741/v5","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3251741/v5","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eResting-state brain networks (RSNs) have been widely applied in health and disease, but the interpretation of RSNs in terms of the underlying neural activity is unclear. 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