{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T02:10:08Z","timestamp":1793412608865,"version":"4.5.0"},"reference-count":55,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,2,18]],"date-time":"2023-02-18T00:00:00Z","timestamp":1676678400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005416","name":"Research Council of Norway","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Developmental Cognitive Neuroscience"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1016\/j.dcn.2023.101220","type":"journal-article","created":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T23:07:41Z","timestamp":1677020861000},"page":"101220","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":59,"special_numbering":"C","title":["Linking brain maturation and puberty during early adolescence using longitudinal brain age prediction in the ABCD cohort"],"prefix":"10.1016","volume":"60","author":[{"given":"Madelene C.","family":"Holm","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Esten H.","family":"Leonardsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dani","family":"Beck","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas","family":"Dahl","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rikka","family":"Kjelkenes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ann-Marie G.","family":"de Lange","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lars T.","family":"Westlye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.dcn.2023.101220_bib1","doi-asserted-by":"crossref","unstructured":"Beck, D., de Lange, A.M.G., Pedersen, M.L., Aln\u00e6s, D., Maximov, I.I., Voldsbekk, I., Westlye, L.T., et al., 2022a. Cardiometabolic risk factors associated with brain age and accelerate brain ageing. Hum. Brain Mapp., vol. 43(no. 2), pp. 700\u201320.","DOI":"10.1002\/hbm.25680"},{"key":"10.1016\/j.dcn.2023.101220_bib2","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2022.102949","article-title":"Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults","author":"Beck","year":"2022","journal-title":"NeuroImage: Clin."},{"issue":"3\u20134","key":"10.1016\/j.dcn.2023.101220_bib3","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1111\/j.1469-7610.2006.01611.x","article-title":"Development of the adolescent brain: implications for executive function and social cognition","volume":"47","author":"Blakemore","year":"2006","journal-title":"J. Child Psychol. Psychiatry"},{"issue":"6","key":"10.1016\/j.dcn.2023.101220_bib4","doi-asserted-by":"crossref","first-page":"926","DOI":"10.1002\/hbm.21052","article-title":"The role of puberty in the developing adolescent brain","volume":"31","author":"Blakemore","year":"2010","journal-title":"Hum. Brain Mapp."},{"issue":"5","key":"10.1016\/j.dcn.2023.101220_bib5","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1007\/s11113-017-9441-5","article-title":"Race disparities in pubertal timing: implications for cardiovascular disease risk among African American women","volume":"36","author":"Bleil","year":"2017","journal-title":"Popul. Res. Policy Rev."},{"issue":"3","key":"10.1016\/j.dcn.2023.101220_bib6","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1093\/cercor\/bhq137","article-title":"Puberty influences medial temporal lobe and cortical gray matter maturation differently in boys than girls matched for sexual maturity","volume":"21","author":"Bramen","year":"2011","journal-title":"Cereb. Cortex"},{"issue":"3","key":"10.1016\/j.dcn.2023.101220_bib7","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0033850","article-title":"Sex matters during adolescence: testosterone-related cortical thickness maturation differs between boys and girls","volume":"7","author":"Bramen","year":"2012","journal-title":"PLoS One"},{"issue":"8","key":"10.1016\/j.dcn.2023.101220_bib8","doi-asserted-by":"crossref","first-page":"3641","DOI":"10.1093\/cercor\/bhab037","article-title":"Morphometrical brain markers of sex difference","volume":"31","author":"Brennan","year":"2021","journal-title":"Cereb. Cortex"},{"issue":"2","key":"10.1016\/j.dcn.2023.101220_bib9","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1093\/cercor\/bhaa296","article-title":"The speed of development of adolescent brain age depends on sex and is genetically determined","volume":"31","author":"Brouwer","year":"2021","journal-title":"Cereb. Cortex"},{"issue":"18","key":"10.1016\/j.dcn.2023.101220_bib10","doi-asserted-by":"crossref","first-page":"1693","DOI":"10.1016\/j.cub.2012.07.002","article-title":"Neuroanatomical assessment of biological maturity","volume":"22","author":"Brown","year":"2012","journal-title":"Curr. Biol."},{"issue":"4","key":"10.1016\/j.dcn.2023.101220_bib11","first-page":"1255","article-title":"Thelarche, pubarche, and menarche attainment in children with normal and elevated body mass index. PEDIATRICS 2009; 123 (1): 84\u201388","volume":"123","author":"Campbell","year":"2009","journal-title":"Pediatrics"},{"issue":"3","key":"10.1016\/j.dcn.2023.101220_bib12","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/1054-139X(93)90004-9","article-title":"A self-administered rating scale for pubertal development","volume":"14","author":"Carskadon","year":"1993","journal-title":"J. Adolesc. Health"},{"key":"10.1016\/j.dcn.2023.101220_bib13","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.dcn.2018.03.001","article-title":"The adolescent brain cognitive development (ABCD) study: imaging acquisition across 21 sites","volume":"32","author":"Casey","year":"2018","journal-title":"Dev. Cogn. Neurosci."},{"key":"10.1016\/j.dcn.2023.101220_bib14","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.neuroimage.2017.07.059","article-title":"Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker","volume":"163","author":"Cole","year":"2017","journal-title":"NeuroImage"},{"issue":"4","key":"10.1016\/j.dcn.2023.101220_bib15","first-page":"410","article-title":"Brain- predicted age associates with psychopathology dimensions in youths","volume":"6","author":"Cropley","year":"2021","journal-title":"Biol. Psychiatry: Cogn. Neurosci. Neuroimaging"},{"key":"10.1016\/j.dcn.2023.101220_bib16","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117292","article-title":"Multimodal brain-age prediction and cardiovascular risk: the Whitehall II MRI sub-study","volume":"222","author":"De Lange","year":"2020","journal-title":"NeuroImage"},{"key":"10.1016\/j.dcn.2023.101220_bib17","doi-asserted-by":"crossref","first-page":"5141","DOI":"10.1002\/hbm.25180","article-title":"Women's brain aging: effects of sex-hormone exposure, pregnancies, and genetic risk for Alzheimer's disease","volume":"41","author":"De Lange","year":"2020","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.dcn.2023.101220_bib18","article-title":"The developmental brain age is associated with adversity, depression, and functional outcomes among adolescents","author":"Drobinin","year":"2021","journal-title":"Biol. Psychiatry: Cogn. Neurosci. Neuroimaging"},{"key":"10.1016\/j.dcn.2023.101220_bib19","doi-asserted-by":"crossref","unstructured":"Fernandez-Cabello, S., Alnas, D., van der Meer, D., Dahl, A., Holm, M.C., Kjelkenes, R., Westlye, L.T. , et al., 2022. Genetic and phenotypic associations between brain imaging, psychopathology and educational attainment in children aged 9\u201311. medRxiv.","DOI":"10.1101\/2022.02.01.22270003"},{"key":"10.1016\/j.dcn.2023.101220_bib20","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.copsyc.2021.09.014","article-title":"Contextualizing adolescent structural brain development: environmental determinants and mental health outcomes","volume":"44","author":"Ferschmann","year":"2022","journal-title":"Curr. Opin. Psychol."},{"issue":"3","key":"10.1016\/j.dcn.2023.101220_bib21","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1159\/000345567","article-title":"The effect of testosterone on the formation of brain structures","volume":"197","author":"Filov\u00e1","year":"2013","journal-title":"Cells Tissues Organs"},{"issue":"3","key":"10.1016\/j.dcn.2023.101220_bib22","doi-asserted-by":"crossref","first-page":"1305","DOI":"10.1016\/j.neuroimage.2012.08.001","article-title":"Brain maturation: predicting individual BrainAGE in children and adolescents using structural MRI","volume":"63","author":"Franke","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.dcn.2023.101220_bib23","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/j.neubiorev.2016.03.024","article-title":"Why estrogens matter for behavior and brain health","volume":"76","author":"Galea","year":"2017","journal-title":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.dcn.2023.101220_bib24","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.dcn.2018.04.004","article-title":"Recruiting the ABCD sample: design considerations and procedures","volume":"32","author":"Garavan","year":"2018","journal-title":"Dev. Cogn. Neurosci."},{"key":"10.1016\/j.dcn.2023.101220_bib25","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.neuroimage.2013.09.073","article-title":"The influence of puberty on subcortical brain development","volume":"88","author":"Goddings","year":"2014","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.dcn.2023.101220_bib26","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1111\/jora.12408","article-title":"Understanding the role of puberty in structural and functional development of the adolescent brain","volume":"29","author":"Goddings","year":"2019","journal-title":"J. Res. Adolesc."},{"key":"10.1016\/j.dcn.2023.101220_bib27","doi-asserted-by":"crossref","first-page":"450","DOI":"10.3389\/fneur.2019.00450","article-title":"Cross-sectional and longitudinal MRI brain scans reveal accelerated brain aging in multiple sclerosis","volume":"10","author":"H\u00f8gest\u00f8l","year":"2019","journal-title":"Front. Neurol."},{"issue":"4","key":"10.1016\/j.dcn.2023.101220_bib28","doi-asserted-by":"crossref","first-page":"1929","DOI":"10.1152\/jn.00780.2002","article-title":"Neurosteroid effects on GABAergic synaptic plasticity in hippocampus","volume":"89","author":"Hsu","year":"2003","journal-title":"J. Neurophysiol."},{"issue":"1688","key":"10.1016\/j.dcn.2023.101220_bib29","doi-asserted-by":"crossref","first-page":"20150451","DOI":"10.1098\/rstb.2015.0451","article-title":"Beyond sex differences: new approaches for thinking about variation in brain structure and function","volume":"371","author":"Joel","year":"2016","journal-title":"Philos. Trans. R. Soc. B: Biol. Sci."},{"issue":"1","key":"10.1016\/j.dcn.2023.101220_bib30","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1038\/s41386-018-0111-z","article-title":"Sex differences in the developing brain: insights from multimodal neuroimaging","volume":"44","author":"Kaczkurkin","year":"2019","journal-title":"Neuropsychopharmacology"},{"issue":"10","key":"10.1016\/j.dcn.2023.101220_bib31","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1038\/s41593-019-0471-7","article-title":"Common brain disorders are associated with heritable patterns of apparent aging of the brain","volume":"22","author":"Kaufmann","year":"2019","journal-title":"Nat. Neurosci."},{"issue":"5","key":"10.1016\/j.dcn.2023.101220_bib32","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1016\/j.jadohealth.2019.11.308","article-title":"Classifying pubertal development using child and parent report: comparing the pubertal development scales to tanner staging","volume":"66","author":"Koopman-Verhoeff","year":"2020","journal-title":"J. Adolesc. Health"},{"issue":"13","key":"10.1016\/j.dcn.2023.101220_bib33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v082.i13","article-title":"lmerTest package: tests in linear mixed effects models","volume":"82","author":"Kuznetsova","year":"2017","journal-title":"J. Stat. Softw."},{"issue":"1","key":"10.1016\/j.dcn.2023.101220_bib34","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.bandc.2009.10.008","article-title":"Sex differences in the adolescent brain","volume":"72","author":"Lenroot","year":"2010","journal-title":"Brain Cogn."},{"key":"10.1016\/j.dcn.2023.101220_bib35","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.119210","article-title":"Deep neural networks learn general and clinically relevant representations of the ageing brain","author":"Leonardsen","year":"2022","journal-title":"NeuroImage"},{"key":"10.1016\/j.dcn.2023.101220_bib36","unstructured":"L\u00fcdecke, D., 2021. sjPlot: Data Visualization for Statistics in Social Science. R package version 2.8.10. \u3008https:\/\/CRAN.R-project.org\/package=sjPlot\u3009."},{"issue":"38","key":"10.1016\/j.dcn.2023.101220_bib37","doi-asserted-by":"crossref","first-page":"11772","DOI":"10.1523\/JNEUROSCI.1242-09.2009","article-title":"Heterogeneity in subcortical brain development: a structural magnetic resonance imaging study of brain maturation from 8 to 30 years","volume":"29","author":"\u00d8stby","year":"2009","journal-title":"J. Neurosci."},{"issue":"12","key":"10.1016\/j.dcn.2023.101220_bib38","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1038\/nrn2513","article-title":"Why do many psychiatric disorders emerge during adolescence?","volume":"9","author":"Paus","year":"2008","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.dcn.2023.101220_bib39","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2020.101871","article-title":"Accurate brain age prediction with lightweight deep neural networks","volume":"68","author":"Peng","year":"2021","journal-title":"Med. Image Anal."},{"issue":"2","key":"10.1016\/j.dcn.2023.101220_bib40","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1007\/BF01537962","article-title":"A self-report measure of pubertal status: reliability, validity, and initial norms","volume":"17","author":"Petersen","year":"1988","journal-title":"J. Youth Adolesc."},{"issue":"2","key":"10.1016\/j.dcn.2023.101220_bib41","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.biopsych.2020.09.002","article-title":"Puberty initiates cascading relationships between neurodevelopmental, social, and internalizing processes across adolescence","volume":"89","author":"Pfeifer","year":"2021","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.dcn.2023.101220_bib42","series-title":"R: A Language and Environment for Statistical Computing","author":"R Core Team","year":"2021"},{"issue":"1","key":"10.1016\/j.dcn.2023.101220_bib43","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1542\/peds.2014-0793","article-title":"Validity of self-assessment of pubertal maturation","volume":"135","author":"Rasmussen","year":"2015","journal-title":"Pediatrics"},{"issue":"8","key":"10.1016\/j.dcn.2023.101220_bib44","doi-asserted-by":"crossref","first-page":"2959","DOI":"10.1093\/cercor\/bhy109","article-title":"Sex differences in the adult human brain: evidence from 5216 UK biobank participants","volume":"28","author":"Ritchie","year":"2018","journal-title":"Cereb. Cortex"},{"issue":"6","key":"10.1016\/j.dcn.2023.101220_bib45","doi-asserted-by":"crossref","first-page":"1714","DOI":"10.1002\/hbm.25323","article-title":"Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders","volume":"42","author":"Rokicki","year":"2021","journal-title":"Hum. Brain Mapp."},{"issue":"23","key":"10.1016\/j.dcn.2023.101220_bib46","doi-asserted-by":"crossref","first-page":"e2328","DOI":"10.1212\/WNL.0000000000012941","article-title":"Association of reproductive history with brain MRI biomarkers of dementia risk in midlife","volume":"97","author":"Schelbaum","year":"2021","journal-title":"Neurology"},{"issue":"2","key":"10.1016\/j.dcn.2023.101220_bib47","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1111\/j.1467-8624.2009.01263.x","article-title":"Pubertal development: correspondence between hormonal and physical development","volume":"80","author":"Shirtcliff","year":"2009","journal-title":"Child Dev."},{"issue":"10","key":"10.1016\/j.dcn.2023.101220_bib48","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1016\/j.tem.2004.10.008","article-title":"Puberty, obesity and ethnicity","volume":"15","author":"Styne","year":"2004","journal-title":"Trends Endocrinol. Metab."},{"issue":"3","key":"10.1016\/j.dcn.2023.101220_bib49","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1093\/cercor\/bhp118","article-title":"Brain maturation in adolescence and young adulthood: regional age-related changes in cortical thickness and white matter volume and microstructure","volume":"20","author":"Tamnes","year":"2010","journal-title":"Cereb. Cortex"},{"issue":"12","key":"10.1016\/j.dcn.2023.101220_bib50","first-page":"1095","article-title":"Brain age prediction reveals aberrant brain white matter in schizophrenia and bipolar disorder: a multisample diffusion tensor imaging study","volume":"5","author":"T\u00f8nnesen","year":"2020","journal-title":"Biol. Psychiatry: Cogn. Neurosci. Neuroimaging"},{"issue":"3","key":"10.1016\/j.dcn.2023.101220_bib51","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1016\/j.jadohealth.2021.02.001","article-title":"Early puberty is associated with higher academic achievement in boys and girls and partially explains academic sex differences","volume":"69","author":"Torvik","year":"2021","journal-title":"J. Adolesc. Health"},{"key":"10.1016\/j.dcn.2023.101220_bib52","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117684","article-title":"A longitudinal analysis of puberty-related cortical development","volume":"228","author":"Vijayakumar","year":"2021","journal-title":"Neuroimage"},{"issue":"8","key":"10.1016\/j.dcn.2023.101220_bib53","doi-asserted-by":"crossref","first-page":"2741","DOI":"10.1093\/cercor\/bhx154","article-title":"A key characteristic of sex differences in the developing brain: greater variability in brain structure of boys than girls","volume":"28","author":"Wierenga","year":"2018","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.dcn.2023.101220_bib54","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.psyneuen.2018.02.034","article-title":"Unraveling age, puberty and testosterone effects on subcortical brain development across adolescence","volume":"91","author":"Wierenga","year":"2018","journal-title":"Psychoneuroendocrinology"},{"issue":"5","key":"10.1016\/j.dcn.2023.101220_bib55","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1162\/jocn_a_01375","article-title":"Sex effects on development of brain structure and executive functions: greater variance than mean effects","volume":"31","author":"Wierenga","year":"2019","journal-title":"J. Cogn. Neurosci."}],"container-title":["Developmental Cognitive Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1878929323000257?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1878929323000257?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T09:40:39Z","timestamp":1761817239000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1878929323000257"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":55,"alternative-id":["S1878929323000257"],"URL":"https:\/\/doi.org\/10.1016\/j.dcn.2023.101220","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2022.05.16.22275146","asserted-by":"object"}]},"ISSN":["1878-9293"],"issn-type":[{"value":"1878-9293","type":"print"}],"subject":[],"published":{"date-parts":[[2023,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Linking brain maturation and puberty during early adolescence using longitudinal brain age prediction in the ABCD cohort","name":"articletitle","label":"Article Title"},{"value":"Developmental Cognitive Neuroscience","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.dcn.2023.101220","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"101220"}}