{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Tassi E"],"funding":["BIAL Foundation","Italian Ministry of Health"],"pagination":["3921"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9998648"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13(1)"],"pubmed_abstract":["The brain's intrinsic organization into large-scale functional networks, the resting state networks (RSN), shows complex inter-individual variability, consolidated during development. Nevertheless, the role of gene and environment on developmental brain functional connectivity (FC) remains largely unknown. Twin design represents an optimal platform to shed light on these effects acting on RSN characteristics. In this study, we applied statistical twin methods to resting-state functional magnetic resonance imaging (rs-fMRI) scans from 50 young twin pairs (aged 10-30 years) to preliminarily explore developmental determinants of brain FC. Multi-scale FC features were extracted and tested for applicability of classical ACE and ADE twin designs. Epistatic genetic effects were also assessed. In "],"journal":["Scientific reports"],"pubmed_title":["Environmental effects on brain functional networks in a juvenile twin population."],"pmcid":["PMC9998648"],"funding_grant_id":["RC2023 to Fondazione Policlinico","288/20","RF-2016-02364582"],"pubmed_authors":["Agarwal N","Brambilla P","Fagnani C","Stazi MA","Bianchi AM","Maggioni E","Mauri M","Tassi E","Nobile M"],"additional_accession":[]},"is_claimable":false,"name":"Environmental effects on brain functional networks in a juvenile twin population.","description":"The brain's intrinsic organization into large-scale functional networks, the resting state networks (RSN), shows complex inter-individual variability, consolidated during development. Nevertheless, the role of gene and environment on developmental brain functional connectivity (FC) remains largely unknown. Twin design represents an optimal platform to shed light on these effects acting on RSN characteristics. In this study, we applied statistical twin methods to resting-state functional magnetic resonance imaging (rs-fMRI) scans from 50 young twin pairs (aged 10-30 years) to preliminarily explore developmental determinants of brain FC. Multi-scale FC features were extracted and tested for applicability of classical ACE and ADE twin designs. Epistatic genetic effects were also assessed. In ","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Mar","modification":"2025-04-22T06:52:43.677Z","creation":"2025-04-05T21:56:20.314Z"},"accession":"S-EPMC9998648","cross_references":{"pubmed":["36894644"],"doi":["10.1038/s41598-023-30672-2"]}}