A dorsoventral gradient of rotational dynamics in human cortex

A dorsoventral gradient of rotational dynamics in human cortex | 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PDF Article A dorsoventral gradient of rotational dynamics in human cortex Arash salardini This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9006466/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 cerebral cortex is organized along multiple spatial gradients, yet how local dynamical properties vary across the cortical surface remains unknown. Here, using resting-state magnetoencephalography (MEG) in 204 adults, we report a dorsoventral gradient of rotational dynamics,a linearized signature of oscillatory neural activity,quantified by an index ρ derived from delay-embedded autoregressive models. Ventral cortex exhibited stronger rotational dynamics than dorsal cortex (r = −0.73; Pspin < 0.00001), a pattern that replicated across cognitive states, parcellation schemes and imaging modalities. Systematic evaluation of candidate architectural predictors identified the dual-origin structural covariance gradient,reflecting phylogenetically conserved, genetically determined cortical connectivity along paleocortical and archicortical lineages,as the principal predictor of ρ, independent of spatial position, spectral composition and intrinsic timescale. These findings establish rotational dynamics as a novel axis of macroscale cortical organization rooted in developmental architecture. Biological sciences/Neuroscience/Neural circuits Biological sciences/Neuroscience/Computational neuroscience Full Text Additional Declarations There is NO Competing Interest. 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-9006466","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":599612243,"identity":"710924ec-ae53-4cdc-87ad-525c925bfd89","order_by":0,"name":"Arash salardini","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA7ElEQVRIiWNgGAWjYBAC+QbmBgYGNgkGNvYGBmaYqAQ+LQYHGKFaeA4wNhOnhQGsBaQsgVgt7AcbP1eUWeTxSb4xf1zwx86ev4H54G0efH7pSWyWPHNOophNOseweWZbcuKMA2zJ1vi0MBxIbJBsbJNIbANp4W04kMBwgMdMGq+W8w+bf4K1SJ4xbOb5c8Be/gD/N/xabgAVg7VI8AC1sB1g3HCAhw2vFoMbD9ssG84BtfCkFc7mBfpl42E2Y8s5+Lzfn3z4ZkNZXeL89sMbPvMAQ0zuePPDG2/wOQwTMBNWMgpGwSgYBaOAAAAAr5FLyZqeJZ8AAAAASUVORK5CYII=","orcid":"","institution":"University of Texas San Antonio","correspondingAuthor":true,"prefix":"","firstName":"Arash","middleName":"","lastName":"salardini","suffix":""}],"badges":[],"createdAt":"2026-03-02 06:41:02","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9006466/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9006466/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104086494,"identity":"0463df09-c6f5-4311-b0dc-cc38d3c6cfb5","added_by":"auto","created_at":"2026-03-06 15:26:58","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":791555,"visible":true,"origin":"","legend":"","description":"","filename":"DorsoventralGradientNatNeuroSUBMISSIONa.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9006466/v1_covered_f6f8747c-2270-4012-8296-6a00c27e147b.pdf"}],"financialInterests":"There is \u003cb\u003eNO\u003c/b\u003e Competing Interest.","formattedTitle":"A dorsoventral gradient of rotational dynamics in human cortex","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":"","lastPublishedDoi":"10.21203/rs.3.rs-9006466/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9006466/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"The cerebral cortex is organized along multiple spatial gradients, yet how local dynamical properties vary across the cortical surface remains unknown. Here, using resting-state magnetoencephalography (MEG) in 204 adults, we report a dorsoventral gradient of rotational dynamics,a linearized signature of oscillatory neural activity,quantified by an index ρ derived from delay-embedded autoregressive models. Ventral cortex exhibited stronger rotational dynamics than dorsal cortex (r = −0.73; Pspin \u003c 0.00001), a pattern that replicated across cognitive states, parcellation schemes and imaging modalities. Systematic evaluation of candidate architectural predictors identified the dual-origin structural covariance gradient,reflecting phylogenetically conserved, genetically determined cortical connectivity along paleocortical and archicortical lineages,as the principal predictor of ρ, independent of spatial position, spectral composition and intrinsic timescale. 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