Sleep Releases Action-Mode Network Revealed by Human Connectome

preprint OA: closed CC-BY-4.0
📄 Open PDF Full text JSON View at publisher

Abstract

Abstract Sleep is an essential biological process that restores the brain. Although numerous advances have been made in uncovering the circuits regulating the sleep-wake cycle, the sleep-related dynamic reconfiguration of brain functional connectome topography remains unknown. Here, we collected simultaneous electroencephalogram and functional magnetic resonance imaging data, along with multiple behavioral assessments, from 130 healthy adults during nocturnal sleep. This rich dataset enabled us to construct a large-scale, sleep-state-dependent suite of system-level brain atlases and to establish their associations with sleep quality and pressure. We found that the action-mode network acts as a highly dynamic system that contracts as sleep deepens, most prominent in subcortical structures. Similar contractions were observed in humans and macaques under anesthesia, reflecting cross-species homologues of network reorganization during low-arousal states. Furthermore, the topological reconfiguration of the action-mode network is a stable biological marker that distinguishes sleep stages, reflects sleep quality, and predicts sleep pressure. Together, our work identifies the action-mode network as a dynamic core that reconfigures across the sleep-wake cycle, potentially serving as a neuro-target for intervening sleep disorders and tracking brain restoration.
Full text 14,000 characters · extracted from preprint-html · click to expand
Sleep Releases Action-Mode Network Revealed by Human Connectome | 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 Sleep Releases Action-Mode Network Revealed by Human Connectome Guoyuan Yang, Qihong Zou, Jinlong Li, Yu Zhang, Lang Qin, Zhifeng Liang, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9102163/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract Sleep is an essential biological process that restores the brain. Although numerous advances have been made in uncovering the circuits regulating the sleep-wake cycle, the sleep-related dynamic reconfiguration of brain functional connectome topography remains unknown. Here, we collected simultaneous electroencephalogram and functional magnetic resonance imaging data, along with multiple behavioral assessments, from 130 healthy adults during nocturnal sleep. This rich dataset enabled us to construct a large-scale, sleep-state-dependent suite of system-level brain atlases and to establish their associations with sleep quality and pressure. We found that the action-mode network acts as a highly dynamic system that contracts as sleep deepens, most prominent in subcortical structures. Similar contractions were observed in humans and macaques under anesthesia, reflecting cross-species homologues of network reorganization during low-arousal states. Furthermore, the topological reconfiguration of the action-mode network is a stable biological marker that distinguishes sleep stages, reflects sleep quality, and predicts sleep pressure. Together, our work identifies the action-mode network as a dynamic core that reconfigures across the sleep-wake cycle, potentially serving as a neuro-target for intervening sleep disorders and tracking brain restoration. Biological sciences/Neuroscience/Computational neuroscience/Dynamical systems Biological sciences/Neuroscience/Neural circuits Full Text Additional Declarations There is NO Competing Interest. Supplementary Files NNA95219Tsupplementaryinformation.pdf Supplementary Information Movie1.mp4 supplementary information movie Cite Share Download PDF Status: Under Review 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-9102163","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":620472145,"identity":"66552dd5-e3f2-46a8-873f-1206e8e9ddc3","order_by":0,"name":"Guoyuan Yang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyUlEQVRIiWNgGAWjYPACmwQ2EMVDgpa0BDY2ErUcTmAgWovB8bOHX35tO5/HJ9/A+OBtG4O8OUEtZ/LSrGXbbhcDHcZsOLeNwXBnAyEtB3LMjCXbbie2sTGwSfO2MSQYHCCk5fwbkJZzIC3sv4nTciPH+OHHtgNgW5iJ0iJ5440ZM8O5ZKBfEpsl55yTMNxASAvf+Rzjjz/K7PLkmw8f/PCmzEaeoC0KB0C+Bkc9YwOQkCCgHgjkGxiYP/74Q1jhKBgFo2AUjGAAAAXXP8kKpzChAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0002-7864-3714","institution":"Beijing Institute of Technology","correspondingAuthor":true,"prefix":"","firstName":"Guoyuan","middleName":"","lastName":"Yang","suffix":""},{"id":620472146,"identity":"e6de8343-2813-47b4-bd99-318e1378332d","order_by":1,"name":"Qihong Zou","email":"","orcid":"https://orcid.org/0000-0001-8732-6633","institution":"Peking University","correspondingAuthor":false,"prefix":"","firstName":"Qihong","middleName":"","lastName":"Zou","suffix":""},{"id":620472147,"identity":"c9e9372b-1f31-464d-8694-546990fe60d3","order_by":2,"name":"Jinlong Li","email":"","orcid":"","institution":"Beijing Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Jinlong","middleName":"","lastName":"Li","suffix":""},{"id":620472148,"identity":"1606b2d2-3fcb-4aaf-8e4c-efedb786c495","order_by":3,"name":"Yu Zhang","email":"","orcid":"","institution":"Beijing Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yu","middleName":"","lastName":"Zhang","suffix":""},{"id":620472149,"identity":"ece30e82-b007-4dd3-8911-a5befe233379","order_by":4,"name":"Lang Qin","email":"","orcid":"","institution":"McGovern Institute of Brain Research, Peking University, Beijing, China","correspondingAuthor":false,"prefix":"","firstName":"Lang","middleName":"","lastName":"Qin","suffix":""},{"id":620472150,"identity":"46a4118f-12d0-4dde-84c7-1beddad5a71e","order_by":5,"name":"Zhifeng Liang","email":"","orcid":"https://orcid.org/0000-0003-2758-1194","institution":"Institute of Neuroscience, Chinese Academy of Sciences","correspondingAuthor":false,"prefix":"","firstName":"Zhifeng","middleName":"","lastName":"Liang","suffix":""},{"id":620472151,"identity":"282f148b-254c-4830-a7bb-f2f20b0d95a6","order_by":6,"name":"Ting Xu","email":"","orcid":"https://orcid.org/0000-0002-0065-3832","institution":"Child Mind Institute","correspondingAuthor":false,"prefix":"","firstName":"Ting","middleName":"","lastName":"Xu","suffix":""},{"id":620472152,"identity":"1b9ade33-7805-4c12-847b-11cb90ec92a9","order_by":7,"name":"Ruiliang Bai","email":"","orcid":"https://orcid.org/0000-0003-4246-5984","institution":"Zhejiang University","correspondingAuthor":false,"prefix":"","firstName":"Ruiliang","middleName":"","lastName":"Bai","suffix":""},{"id":620472153,"identity":"5e9bc1fd-086e-40ad-806a-c0645ede6678","order_by":8,"name":"Xi-Nian Zuo","email":"","orcid":"https://orcid.org/0000-0001-9110-585X","institution":"Beijing Normal University","correspondingAuthor":false,"prefix":"","firstName":"Xi-Nian","middleName":"","lastName":"Zuo","suffix":""},{"id":620472154,"identity":"7f003532-3023-4801-898d-412bae1961db","order_by":9,"name":"Hesheng Liu","email":"","orcid":"https://orcid.org/0000-0002-7233-1509","institution":"Changping Laboratory","correspondingAuthor":false,"prefix":"","firstName":"Hesheng","middleName":"","lastName":"Liu","suffix":""},{"id":620472155,"identity":"f580e395-667d-4cce-ab63-d1a8097b01cf","order_by":10,"name":"Jia-Hong Gao","email":"","orcid":"https://orcid.org/0000-0002-9311-0297","institution":"McGovern Institute for Brain Research, Peking University","correspondingAuthor":false,"prefix":"","firstName":"Jia-Hong","middleName":"","lastName":"Gao","suffix":""}],"badges":[],"createdAt":"2026-03-12 08:25:47","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9102163/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9102163/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106726823,"identity":"b6bd75de-62c5-44f5-bb6f-8aa50f6a48e7","added_by":"auto","created_at":"2026-04-12 18:37:22","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1960615,"visible":true,"origin":"","legend":"Article File","description":"","filename":"NNA95219Tmanuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9102163/v1_covered_7b49ece7-64cc-480a-b6c8-522de5d5b62d.pdf"},{"id":106725452,"identity":"8883b7cf-1866-4f51-a00d-5b84e4ce93e7","added_by":"auto","created_at":"2026-04-12 18:33:00","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":7908895,"visible":true,"origin":"","legend":"\u003cp\u003eSupplementary Information\u003c/p\u003e","description":"","filename":"NNA95219Tsupplementaryinformation.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9102163/v1/d3245f772d1605ff6ddeb37c.pdf"},{"id":106597693,"identity":"c7ffa2d8-2ba2-406f-87df-b841ecdc7358","added_by":"auto","created_at":"2026-04-10 09:43:26","extension":"mp4","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":13251108,"visible":true,"origin":"","legend":"supplementary information movie","description":"","filename":"Movie1.mp4","url":"https://assets-eu.researchsquare.com/files/rs-9102163/v1/759ae11d03768b9e54b19fe7.mp4"}],"financialInterests":"There is \u003cb\u003eNO\u003c/b\u003e Competing Interest.","formattedTitle":"Sleep Releases Action-Mode Network Revealed by Human Connectome","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":false,"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":"nature-portfolio","isNatureJournal":true,"hasQc":false,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"","title":"Nature Portfolio","twitterHandle":"","acdcEnabled":false,"dfaEnabled":false,"editorialSystem":"ejp","reportingPortfolio":"","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-9102163/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9102163/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Sleep is an essential biological process that restores the brain. Although numerous advances have been made in uncovering the circuits regulating the sleep-wake cycle, the sleep-related dynamic reconfiguration of brain functional connectome topography remains unknown. Here, we collected simultaneous electroencephalogram and functional magnetic resonance imaging data, along with multiple behavioral assessments, from 130 healthy adults during nocturnal sleep. This rich dataset enabled us to construct a large-scale, sleep-state-dependent suite of system-level brain atlases and to establish their associations with sleep quality and pressure. We found that the action-mode network acts as a highly dynamic system that contracts as sleep deepens, most prominent in subcortical structures. Similar contractions were observed in humans and macaques under anesthesia, reflecting cross-species homologues of network reorganization during low-arousal states. Furthermore, the topological reconfiguration of the action-mode network is a stable biological marker that distinguishes sleep stages, reflects sleep quality, and predicts sleep pressure. Together, our work identifies the action-mode network as a dynamic core that reconfigures across the sleep-wake cycle, potentially serving as a neuro-target for intervening sleep disorders and tracking brain restoration.","manuscriptTitle":"Sleep Releases Action-Mode Network Revealed by Human Connectome","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-10 09:43:21","doi":"10.21203/rs.3.rs-9102163/v1","editorialEvents":[],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"nature-neuroscience","isNatureJournal":true,"hasQc":false,"allowDirectSubmit":false,"externalIdentity":"neuro","sideBox":"Learn more about [Nature Neuroscience](http://www.nature.com/neuro/)","snPcode":"","submissionUrl":"","title":"Nature Neuroscience","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"ejp","reportingPortfolio":"Nature Research","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"9736bfce-5297-4611-8708-e90c5aaa6adb","owner":[],"postedDate":"April 10th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":66034275,"name":"Biological sciences/Neuroscience/Computational neuroscience/Dynamical systems"},{"id":66034276,"name":"Biological sciences/Neuroscience/Neural circuits"}],"tags":[],"updatedAt":"2026-04-10T09:43:22+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-10 09:43:21","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9102163","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9102163","identity":"rs-9102163","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-23T02:00:01.238055+00:00
License: CC-BY-4.0