{"doi":"10.1016/j.tics.2022.11.005","title":"Hierarchical functional system development supports executive function","abstract":null,"journal":"Trends in Cognitive Sciences","year":2023,"id":652367,"datarank":0.7278045395879427,"base_score":4.852030263919617,"endowment":4.852030263919617,"self_citation_contribution":0.7278045395879427,"citation_network_contribution":0.0,"self_endowment_contribution":0.7278045395879427,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":127,"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":274928,"name":"Valerie J. Sydnor","orcid":"0000-0002-8640-668X","position":1,"is_corresponding":false},{"id":285908,"name":"Adam Pines","orcid":"0000-0001-9740-3196","position":2,"is_corresponding":false},{"id":235292,"name":"Damien A. Fair","orcid":"0000-0001-8602-393X","position":3,"is_corresponding":false},{"id":645398,"name":"Dani S. Bassett","orcid":null,"position":4,"is_corresponding":false},{"id":230040,"name":"Theodore D. Satterthwaite","orcid":"0000-0001-7072-9399","position":5,"is_corresponding":false},{"id":627745,"name":"Arielle S. Keller","orcid":"0000-0003-4708-1672","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Hierarchical functional system development supports executive function","abstract":"In this perspective, we describe how developmental improvements in youth executive function (EF) are supported by hierarchically organized maturational changes in functional brain systems. We first highlight evidence that functional brain systems are embedded within a hierarchical sensorimotor-association axis of cortical organization. We then review data showing that functional system developmental profiles vary along this axis: systems near the associative end become more functionally segregated, while those in the middle become more integrative. Developmental changes that strengthen the hierarchical organization of the cortex may support EF by facilitating top-down information flow and balancing within- and between-system communication. We propose a central role for attention and frontoparietal control systems in the maturation of healthy EF and suggest that reduced functional system differentiation across the sensorimotor-association axis contributes to transdiagnostic EF deficits.","is_dataset_classified":null,"base_score":4.844187086458591,"endowment":4.844187086458591,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"36437189","pmcid":"PMC9851999","openalex_id":"https://openalex.org/W4309922072","authors":[],"funders":[{"funder_name":"NIMH NIH HHS","grant_id":"RF1 MH121867","title":null},{"funder_name":"NIDA NIH HHS","grant_id":"U01 DA041148","title":null},{"funder_name":"NIMH NIH HHS","grant_id":"R01 MH112847","title":null},{"funder_name":"NINDS NIH HHS","grant_id":"T32 NS091006","title":null},{"funder_name":"NIBIB NIH HHS","grant_id":"R01 EB022573","title":null},{"funder_name":"NIMH NIH HHS","grant_id":"R21 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Mechanisms for TMS Response"},{"funder_name":"National Institutes of Health","grant_id":"1RF1MH121867-01A1","title":"NIPreps: integrating neuroimaging preprocessing workflows across modalities, populations, and species"},{"funder_name":"National Institutes of Health","grant_id":"5T32NS091006-08","title":"Training Program in Neuroengineering and Medicine"},{"funder_name":"National Institutes of Health","grant_id":"5R37MH125829-05","title":"Precision mapping of individualized executive networks in youth"},{"funder_name":"National Institutes of Health","grant_id":"5R01EB022573-03","title":"Pattern Analysis of fMRI via machine learning/sparse models: application to brain development"}],"total_grants":19,"fwci":10.8502,"citation_percentile":0.99258861,"influential_citations":0,"citation_trend":[{"year":2022,"count":1},{"year":2023,"count":21},{"year":2024,"count":37},{"year":2025,"count":46},{"year":2026,"count":21}],"oa_status":"green","license":"Elsevier TDM","oa_locations":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9851999","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9851999","host_type":"repository"},{"url":"https://api.elsevier.com/content/article/PII:S1364661322002856?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1364661322002856?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.tics.2022.11.005","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/36437189","host_type":"repository"}],"fields_of_study":["Functional Brain Connectivity Studies","Neural dynamics and brain function","Memory and Neural Mechanisms","0301 basic medicine","03 medical and health sciences","0302 clinical medicine","Adolescent","Humans","Executive Function","Brain","Magnetic Resonance Imaging"],"mesh_terms":["Adolescent","Brain","Humans","Magnetic Resonance Imaging","Executive 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