{"doi":"10.1016/j.envres.2025.123624","title":"Developing brains and changing worlds: Macroenvironmental changes and their association with brain development","abstract":null,"journal":"Environmental Research","year":2026,"id":623462,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"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":237618,"name":"Tobias Banaschewski","orcid":"0000-0003-4595-1144","position":1,"is_corresponding":false},{"id":285451,"name":"Arun L.W. 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We used structural equation models and regularized multivariate path analysis to identify macroenvironmental features that predict changes in whole-brain structural features in a sample of 368 individuals from the IMAGEN study (https://www.imagen-project.org/), who were assessed at 14 and 22 years of age. We observed characteristic brain developmental changes and substantial individual differences in change in 15 macroenvironmental features. Path analysis showed that changes in a handful of these variables, for instance tree cover density, presence of water bodies and air pollution, significantly predict changes in cortical thickness, structural connectivity and gray and white matter volumes over adolescence.","is_dataset_classified":null,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41485759","pmcid":null,"openalex_id":"https://openalex.org/W7117963895","authors":[],"funders":[{"funder_name":"Fondation pour la Recherche Médicale","grant_id":"DPA20140629802","title":null},{"funder_name":"Deutsche Forschungsgemeinschaft","grant_id":"458317126","title":null},{"funder_name":"HORIZON EUROPE Framework Programme","grant_id":"101057429","title":"Reducing the impact of major environmental challenges on mental health"},{"funder_name":"Fondation de France","grant_id":"00081242","title":null},{"funder_name":"National Natural Science Foundation of China","grant_id":"82150710554","title":null},{"funder_name":"Fondation de l'Avenir pour la Recherche Médicale Appliquée","grant_id":"AP-RM- 17-013","title":null},{"funder_name":"European Research Council","grant_id":"695313","title":"Brain network based stratification of mental illness"},{"funder_name":"Science Foundation Ireland","grant_id":"16/ERCD/3797","title":"The Neurobiology of Voluntary Nicotine Abstinence: Genetics, Environment and Neurocognitive Endophenotypes"},{"funder_name":"Bundesministerium für Forschung, Technologie und Raumfahrt","grant_id":"AERIAL 01EE1406A","title":null},{"funder_name":"Bundesministerium für Forschung, Technologie und Raumfahrt","grant_id":"01EV0711","title":null},{"funder_name":"Bundesministerium für Forschung, Technologie und Raumfahrt","grant_id":"01EE1406B","title":null},{"funder_name":"Bundesministerium für Forschung, Technologie und Raumfahrt","grant_id":"01GS08152","title":null},{"funder_name":"Bundesministerium für Forschung, Technologie und Raumfahrt","grant_id":"01GL1745B","title":null},{"funder_name":"ERA-Net NEURON","grant_id":"AF12-NEUR0008-01 - 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