{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T03:45:58Z","timestamp":1791776758751,"version":"4.3.4"},"reference-count":52,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T00:00:00Z","timestamp":1783814400000},"content-version":"vor","delay-in-days":11,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Human Brain Mapping"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Adolescence is a critical period for brain development, impacting social, cognitive, and emotional functions. While hypothesis\u2010driven studies have linked multiple person characteristics to brain development, the driving force behind differential brain development remains unclear. We applied unsupervised clustering to multimodal neuroimaging data from early adolescents in the Adolescent Brain Cognitive Development (ABCD) study. Clustering analyses were conducted separately for resting\u2010state functional MRI (rs\u2010fMRI), structural MRI (sMRI), and diffusion MRI (dMRI), and replicated in two independent samples of 2666 individuals each. Longitudinal trajectories over a two\u2010year follow\u2010up period were examined. Associations with sociodemographic and family\u2010related factors were assessed. Two clusters were identified in rs\u2010fMRI data across both independent samples. One cluster, comprising approximately 9%\u201310% of individuals, showed functional brain differences at baseline, along with altered neurodevelopmental trajectories over 2\u2009years. These functional differences were associated with lower socioeconomic status, family instability, and stronger cultural\/family values. In contrast, no significant clustering emerged from structural MRI and diffusion MRI data. Our findings suggest that sociodemographic factors are closely associated with early adolescent brain function and development, underscoring the need to consider social environment in neurodevelopmental models and prevention strategies.<\/jats:p>","DOI":"10.1002\/hbm.70606","type":"journal-article","created":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T04:40:02Z","timestamp":1783917602000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Unsupervised Clustering Reveals Sociodemographic Determinants of Differential Brain Development During Adolescence"],"prefix":"10.1002","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-0645-3257","authenticated-orcid":false,"given":"Jiangyun","family":"Hou","sequence":"first","affiliation":[{"name":"Department of Psychiatry Amsterdam UMC Location University of Amsterdam  Amsterdam the Netherlands"},{"name":"Amsterdam Neuroscience  Amsterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurens","family":"van de Mortel","sequence":"additional","affiliation":[{"name":"Department of Psychiatry Amsterdam UMC Location University of Amsterdam  Amsterdam the Netherlands"},{"name":"Amsterdam Neuroscience  Amsterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arne","family":"Popma","sequence":"additional","affiliation":[{"name":"Department of Psychiatry Amsterdam UMC Location University of Amsterdam  Amsterdam the Netherlands"},{"name":"Amsterdam Public Health  Amsterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dirk J. 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