{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Blesa M"],"funding":["British Heart Foundation","NIA NIH HHS","Scottish Government Health and Social Care Directorates","NIMH NIH HHS","Health and Social Care Research and Development Division","Vivensa Foundation","Public Health Agency","National Institutes of Health","UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council","MRC Centre","National Health Service","Health Data Research UK","British Heart Foundation, and Wellcome","Medical Research Council","Chief Scientist Office","National Institute for Health Research (NIHR)","Wellcome Trust"],"pagination":["2071-2084"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7945030"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["31(4)"],"pubmed_abstract":["The human adult structural connectome has a rich nodal hierarchy, with highly diverse connectivity patterns aligned to the diverse range of functional specializations in the brain. The emergence of this hierarchical complexity in human development is unknown. Here, we substantiate the hierarchical tiers and hierarchical complexity of brain networks in the newborn period, assess correspondences with hierarchical complexity in adulthood, and investigate the effect of preterm birth, a leading cause of atypical brain development and later neurocognitive impairment, on hierarchical complexity. We report that neonatal and adult structural connectomes are both composed of distinct hierarchical tiers and that hierarchical complexity is greater in term born neonates than in preterms. This is due to"],"journal":["Cerebral cortex (New York, N.Y. : 1991)"],"pubmed_title":["Hierarchical Complexity of the Macro-Scale Neonatal Brain."],"pmcid":["PMC7945030"],"funding_grant_id":["G1002033","R01AG054628","MRC G1002033","R380R/1114","MR/R024065/1","R01 AG054628","MR/N022556/1","G0700704","MR/K026992/1","U54 MH091657","MR/S004122/1"],"pubmed_authors":["Cox SR","Lamb GJ","Galdi P","Stoye DQ","Smith KM","Escudero J","Boardman JP","Quigley AJ","Sullivan G","Bastin ME","Blesa M","Thrippleton MJ"],"additional_accession":[]},"is_claimable":false,"name":"Hierarchical Complexity of the Macro-Scale Neonatal Brain.","description":"The human adult structural connectome has a rich nodal hierarchy, with highly diverse connectivity patterns aligned to the diverse range of functional specializations in the brain. The emergence of this hierarchical complexity in human development is unknown. Here, we substantiate the hierarchical tiers and hierarchical complexity of brain networks in the newborn period, assess correspondences with hierarchical complexity in adulthood, and investigate the effect of preterm birth, a leading cause of atypical brain development and later neurocognitive impairment, on hierarchical complexity. We report that neonatal and adult structural connectomes are both composed of distinct hierarchical tiers and that hierarchical complexity is greater in term born neonates than in preterms. This is due to","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Mar","modification":"2026-04-18T01:04:18.604Z","creation":"2025-04-07T04:00:38.689Z"},"accession":"S-EPMC7945030","cross_references":{"pubmed":["33280008"],"doi":["10.1093/cercor/bhaa345"]}}