Spatial and temporal correlations in human cortex are inherently linked, predicted by functional hierarchy, vigilance state and antiepileptic drug load

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Abstract The ability of neural circuits to integrate information over time and across different cortical areas is believed an essential ingredient for information processing in the brain. Temporal and spatial correlations in cortex dynamics have independently been shown to capture these integration properties in task-dependent ways. A fundamental question remains if temporal and spatial integration properties are linked and what internal and external factors shape these correlations. Previous research on spatio-temporal correlations has been limited in duration and coverage, thus providing only an incomplete picture of their interdependence and variability. Here, we use long-term invasive EEG data to comprehensively map temporal and spatial correlations according to cortical topography, vigilance state and drug dependence over extended periods of time. We show that temporal and spatial correlations in cortical networks are intimately linked, decline under antiepileptic drug action, and break down during slow-wave sleep. Further, we report temporal correlations in human electrophysiology signals to increase with the functional hierarchy in cortex. Systematic investigation alongside neural network modelling links these findings to dynamics being poised near a critical point. Our results provide novel mechanistic and functional links between specific measurable changes in the network dynamics relevant for characterizing the brain’s changing information processing capabilities.
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Spatial and temporal correlations in human cortex are inherently linked, predicted by functional hierarchy, vigilance state and antiepileptic drug load | 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 Spatial and temporal correlations in human cortex are inherently linked, predicted by functional hierarchy, vigilance state and antiepileptic drug load Christian Meisel, Paul Müller This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1761325/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 The ability of neural circuits to integrate information over time and across different cortical areas is believed an essential ingredient for information processing in the brain. Temporal and spatial correlations in cortex dynamics have independently been shown to capture these integration properties in task-dependent ways. A fundamental question remains if temporal and spatial integration properties are linked and what internal and external factors shape these correlations. Previous research on spatio-temporal correlations has been limited in duration and coverage, thus providing only an incomplete picture of their interdependence and variability. Here, we use long-term invasive EEG data to comprehensively map temporal and spatial correlations according to cortical topography, vigilance state and drug dependence over extended periods of time. We show that temporal and spatial correlations in cortical networks are intimately linked, decline under antiepileptic drug action, and break down during slow-wave sleep. Further, we report temporal correlations in human electrophysiology signals to increase with the functional hierarchy in cortex. Systematic investigation alongside neural network modelling links these findings to dynamics being poised near a critical point. Our results provide novel mechanistic and functional links between specific measurable changes in the network dynamics relevant for characterizing the brain’s changing information processing capabilities. Full Text Additional Declarations There is NO Competing Interest. Supplementary Files Supplementary.pdf 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-1761325","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":115543598,"identity":"dbdedaec-1c06-4570-8286-cf595683912c","order_by":0,"name":"Christian Meisel","email":"data:image/png;base64,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","orcid":"","institution":"Charité - Universitätsmedizin","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Christian","middleName":"","lastName":"Meisel","suffix":""},{"id":115543599,"identity":"0f44219a-7dae-4435-ac0e-c7e594da670e","order_by":1,"name":"Paul Müller","email":"","orcid":"https://orcid.org/0000-0002-9459-7586","institution":"Charité - Univerisätsmedizin","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Paul","middleName":"","lastName":"Müller","suffix":""}],"badges":[],"createdAt":"2022-06-15 13:01:56","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1761325/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1761325/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":27084906,"identity":"bc5c0ebc-0a01-4fb6-a661-f2c5266059ac","added_by":"auto","created_at":"2022-09-28 14:16:45","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1245635,"visible":true,"origin":"","legend":"","description":"","filename":"STCmanuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1761325/v1_covered.pdf"},{"id":23326659,"identity":"493c7c69-7a50-4851-8e66-1a6e1561b64d","added_by":"auto","created_at":"2022-07-01 14:34:19","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1245867,"visible":true,"origin":"","legend":"","description":"","filename":"STCmanuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1761325/v1_covered.pdf"},{"id":23326626,"identity":"48aca36b-5cbd-4002-bd5b-03e1e942acce","added_by":"auto","created_at":"2022-07-01 14:34:06","extension":"pdf","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":381419,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementary.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1761325/v1/c5ed9a5126d222071654bb1b.pdf"}],"financialInterests":"There is \u003cb\u003eNO\u003c/b\u003e Competing Interest.","formattedTitle":"Spatial and temporal correlations in human cortex are inherently linked, predicted by functional hierarchy, vigilance state and antiepileptic drug load","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-1761325/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"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":false,"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-1761325/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1761325/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"The ability of neural circuits to integrate information over time and across different cortical areas is believed an essential ingredient for information processing in the brain. 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