{"doi":"10.1101/065284","title":"The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core","abstract":"<jats:title>Abstract</jats:title>\n                <jats:p>In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. By including individual structural and functional neuroimaging data into brain network models we construct personalized brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Personalized brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function.</jats:p>","journal":null,"year":null,"id":638547,"datarank":0.5676284450877392,"base_score":3.784189633918261,"endowment":3.784189633918261,"self_citation_contribution":0.5676284450877392,"citation_network_contribution":0.0,"self_endowment_contribution":0.5676284450877392,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":43,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":553619,"name":"Morten L. Kringelbach","orcid":"0000-0002-3908-6898","position":1,"is_corresponding":false},{"id":255543,"name":"Viktor Jirsa","orcid":"0000-0002-8251-8860","position":2,"is_corresponding":false},{"id":668278,"name":"Petra Ritter","orcid":"0000-0002-4643-4782","position":3,"is_corresponding":false},{"id":557847,"name":"Gustavo Deco","orcid":"0000-0002-8995-7583","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core","abstract":"<jats:title>Abstract</jats:title>\n                <jats:p>In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. By including individual structural and functional neuroimaging data into brain network models we construct personalized brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Personalized brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function.</jats:p>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"28596608","pmcid":null,"openalex_id":null,"authors":[],"funders":[{"funder_name":"European Commission","grant_id":"295129","title":"The Dynamical and Structural Basis of Human Mind Complexity: Segregation and Integration of Information and Processing in the Brain"},{"funder_name":"European Commission","grant_id":"615539","title":"The plasticity of parental caregiving: characterizing the brain mechanisms underlying normal and disrupted development of parenting"},{"funder_name":"French National Research Agency (ANR)","grant_id":"ANR-11-IDEX-0001","title":null},{"funder_name":"European Commission","grant_id":"720270","title":"Human Brain Project Specific Grant Agreement 1"},{"funder_name":"European Commission","grant_id":"683049","title":"Personalized whole brain simulations: linking connectomics and dynamics in the human brain"}],"total_grants":5,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"green","license":"cc-by-nc-nd","oa_locations":[{"url":"https://www.biorxiv.org/content/biorxiv/early/2016/12/21/065284.full.pdf","host_type":"repository"},{"url":"https://syndication.highwire.org/content/doi/10.1101/065284","host_type":"publisher"},{"url":"https://research.monash.edu/en/publications/4718c7e5-87a6-4c8b-8703-4b03d75da046","host_type":"repository"},{"url":"https://ora.ox.ac.uk/objects/uuid:e838ac89-c413-4519-9392-86037a913537","host_type":"repository"},{"url":"http://hdl.handle.net/21.11116/0000-0002-E155-0","host_type":"repository"},{"url":"https://doi.org/10.1101/065284","host_type":""},{"url":"https://www.nature.com/articles/s41598-017-03073-5.pdf","host_type":""},{"url":"https://doi.org/10.1038/s41598-017-03073-5","host_type":""},{"url":"https://dx.doi.org/10.17169/refubium-25027","host_type":""},{"url":"https://pubmed.ncbi.nlm.nih.gov/28596608","host_type":""},{"url":"http://dx.doi.org/10.1038/s41598-017-03073-5","host_type":""},{"url":"http://hdl.handle.net/10230/32665","host_type":""},{"url":"http://hdl.handle.net/10230/48093","host_type":""},{"url":"https://amu.hal.science/hal-03246113v1","host_type":""},{"url":"https://amu.hal.science/hal-03246113v1/document","host_type":""},{"url":"https://doaj.org/article/53442c80c30b49af8591c7455e7e081b","host_type":""},{"url":"https://dx.doi.org/10.1101/065284","host_type":""},{"url":"https://dx.doi.org/10.1038/s41598-017-03073-5","host_type":""},{"url":"https://hdl.handle.net/21.11116/0000-0002-E157-E","host_type":""},{"url":"https://hdl.handle.net/21.11116/0000-0002-E155-0","host_type":""},{"url":"https://pure.au.dk/portal/en/publications/2f20e243-b69e-48b2-9d72-35e88a2cb736","host_type":""},{"url":"https://www.scopus.com/pages/publications/85020425303","host_type":""},{"url":"http://dx.doi.org/10.1101/065284","host_type":""}],"fields_of_study":["0301 basic medicine","03 medical and health sciences","0302 clinical medicine"],"mesh_terms":[],"keywords":["Adult","Male","Adolescent","Science","Rest","600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit","Models, Biological","Article","Young Adult","Dynamical systems","Journal Article","Humans","Brain Mapping","Q","R","Brain","[SCCO] Cognitive science","Magnetic Resonance Imaging","[SDV] Life Sciences [q-bio]","Diffusion Tensor Imaging","Cognitive control","Medicine","Female","Algorithms"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-06T20:52:34.462971Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}