{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T12:59:58Z","timestamp":1793451598942,"version":"4.5.0"},"reference-count":98,"publisher":"American Medical Association (AMA)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi230604-4\">\n                    <jats:title>Importance<\/jats:title>\n                    <jats:p>Lower neighborhood and household socioeconomic status (SES) are associated with negative health outcomes and altered brain structure in children. It is unclear whether such findings extend to white matter and via what mechanisms.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi230604-5\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To assess whether and how neighborhood and household SES are independently associated with children\u2019s white matter microstructure and examine whether obesity and cognitive performance (reflecting environmental cognitive and sensory stimulation) are plausible mediators.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi230604-6\">\n                    <jats:title>Design, Setting, and Participants<\/jats:title>\n                    <jats:p>This cross-sectional study used baseline data from participants in the Adolescent Brain Cognitive Development (ABCD) study. Data were collected at 21 US sites, and school-based recruitment was used to represent the US population. Children aged 9 to 11 years and their parents or caregivers completed assessments between October 1, 2016, and October 31, 2018. After exclusions, 8842 of 11 875 children in the ABCD study were included in the analyses. Data analysis was conducted from July 11 to December 19, 2022.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi230604-7\">\n                    <jats:title>Exposures<\/jats:title>\n                    <jats:p>Neighborhood disadvantage was derived from area deprivation indices at participants\u2019 primary residence. Household SES factors were total income and highest parental educational attainment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi230604-8\">\n                    <jats:title>Main Outcomes and Measures<\/jats:title>\n                    <jats:p>\n                      A restriction spectrum imaging (RSI) model was used to quantify restricted normalized directional (RND; reflecting oriented myelin organization) and restricted normalized isotropic (RNI; reflecting glial and neuronal cell bodies) diffusion in 31 major white matter tracts. The RSI measurements were scanner harmonized. Obesity was assessed through body mass index (BMI; calculated as weight in kilograms divided by height in meters squared), age- and sex-adjusted BMI\n                      <jats:italic>z<\/jats:italic>\n                      scores, and waist circumference, and cognition was assessed through the National Institutes of Health Toolbox Cognition Battery. Analyses were adjusted for age, sex, pubertal development stage, intracranial volume, mean head motion, and twin or siblingship.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi230604-9\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 8842 children, 4543 (51.4%) were boys, and the mean (SD) age was 9.9 (0.7) years. Linear mixed-effects models revealed that greater neighborhood disadvantage was associated with lower RSI-RND in the left superior longitudinal fasciculus (\u03b2\u2009=\u2009\u22120.055; 95% CI, \u22120.081 to \u22120.028) and forceps major (\u03b2\u2009=\u2009\u22120.040; 95% CI, \u22120.067 to \u22120.013). Lower parental educational attainment was associated with lower RSI-RND in the bilateral superior longitudinal fasciculus (eg, right hemisphere: \u03b2\u2009=\u20090.053; 95% CI, 0.025-0.080) and bilateral corticospinal or pyramidal tract (eg, right hemisphere: \u03b2\u2009=\u20090.042; 95% CI, 0.015-0.069). Structural equation models revealed that lower cognitive performance (eg, lower total cognition score and higher neighborhood disadvantage: \u03b2\u2009=\u2009\u22120.012; 95% CI, \u22120.016 to \u22120.009) and greater obesity (eg, higher BMI and higher neighborhood disadvantage: \u03b2\u2009=\u2009\u22120.004; 95% CI, \u22120.006 to \u22120.001) partially accounted for the associations between SES and RSI-RND. Lower household income was associated with higher RSI-RNI in most tracts (eg, right inferior longitudinal fasciculus: \u03b2\u2009=\u2009\u22120.042 [95% CI, \u22120.073 to \u22120.012]; right anterior thalamic radiations: \u03b2\u2009=\u2009\u22120.045 [95% CI, \u22120.075 to \u22120.014]), and greater neighborhood disadvantage had similar associations in primarily frontolimbic tracts (eg, right fornix: \u03b2\u2009=\u20090.046 [95% CI, 0.019-0.074]; right anterior thalamic radiations: \u03b2\u2009=\u20090.045 [95% CI, 0.018-0.072]). Lower parental educational attainment was associated with higher RSI-RNI in the forceps major (\u03b2\u2009=\u2009\u22120.048; 95% CI, \u22120.077 to \u22120.020). Greater obesity partially accounted for these SES associations with RSI-RNI (eg, higher BMI and higher neighborhood disadvantage: \u03b2\u2009=\u20090.015; 95% CI, 0.011-0.020). Findings were robust in sensitivity analyses and were corroborated using diffusion tensor imaging.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi230604-10\">\n                    <jats:title>Conclusions and Relevance<\/jats:title>\n                    <jats:p>In this cross-sectional study, both neighborhood and household contexts were associated with white matter development in children, and findings suggested that obesity and cognitive performance were possible mediators in these associations. Future research on children\u2019s brain health may benefit from considering these factors from multiple socioeconomic perspectives.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2023.20276","type":"journal-article","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T11:36:38Z","timestamp":1687865798000},"page":"e2320276","source":"Crossref","is-referenced-by-count":55,"title":["Associations Between Socioeconomic Status, Obesity, Cognition, and White Matter Microstructure in Children"],"prefix":"10.1001","volume":"6","author":[{"given":"Zhaolong Adrian","family":"Li","sequence":"first","affiliation":[{"name":"Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, Missouri"},{"name":"Department of Psychological and Brain Sciences, Washington University in St Louis, St Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqi","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Psychological and Brain Sciences, Washington University in St Louis, St Louis, Missouri"},{"name":"Now with Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rita L.","family":"Taylor","sequence":"additional","affiliation":[{"name":"Department of Psychological and Brain Sciences, Washington University in St Louis, St Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah A.","family":"Eisenstein","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, Missouri"},{"name":"Mallinckrodt Institute of Radiology, Washington University in St Louis School of Medicine, St Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deanna M.","family":"Barch","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, Missouri"},{"name":"Department of Psychological and Brain Sciences, Washington University in St Louis, St Louis, Missouri"},{"name":"Mallinckrodt Institute of Radiology, Washington University in St Louis School of Medicine, St Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Scott","family":"Marek","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, Missouri"},{"name":"Mallinckrodt Institute of Radiology, Washington University in St Louis School of Medicine, St Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tamara","family":"Hershey","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, Missouri"},{"name":"Department of Psychological and Brain Sciences, Washington University in St Louis, St Louis, Missouri"},{"name":"Mallinckrodt Institute of Radiology, Washington University in St Louis School of Medicine, St Louis, Missouri"},{"name":"Department of Neurology, Washington University in St Louis School of Medicine, St Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","published-online":{"date-parts":[[2023,6,27]]},"reference":[{"issue":"7","key":"zoi230604r1","doi-asserted-by":"publisher","first-page":"1088","DOI":"10.1016\/j.socscimed.2011.06.011","article-title":"Childhood socio-economic status and the onset, persistence, and severity of DSM-IV mental disorders in a US national sample.","volume":"73","author":"McLaughlin","year":"2011","journal-title":"Soc Sci Med"},{"issue":"9346","key":"zoi230604r2","doi-asserted-by":"publisher","first-page":"1640","DOI":"10.1016\/S0140-6736(02)11602-3","article-title":"Association between children\u2019s experience of socioeconomic disadvantage and adult health: a life-course study.","volume":"360","author":"Poulton","year":"2002","journal-title":"Lancet"},{"issue":"1","key":"zoi230604r3","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.biopsych.2015.05.017","article-title":"Early-life adversity and physical and emotional health across the lifespan: a neuroimmune network hypothesis.","volume":"80","author":"Nusslock","year":"2016","journal-title":"Biol Psychiatry"},{"key":"zoi230604r4","author":"Dufford"},{"issue":"1","key":"zoi230604r5","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.bpsc.2021.07.002","article-title":"Early childhood socioeconomic status and cognitive and adaptive outcomes at the transition to adulthood: the mediating role of gray matter development across five scan waves.","volume":"7","author":"Barch","year":"2022","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging"},{"issue":"1","key":"zoi230604r6","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.neuron.2017.08.034","article-title":"The neuroscience of socioeconomic status: correlates, causes, and consequences.","volume":"96","author":"Farah","year":"2017","journal-title":"Neuron"},{"issue":"9","key":"zoi230604r7","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1038\/nrn2897","article-title":"Socioeconomic status and the brain: mechanistic insights from human and animal research.","volume":"11","author":"Hackman","year":"2010","journal-title":"Nat Rev Neurosci"},{"issue":"11","key":"zoi230604r8","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2022.44049","article-title":"Poverty, cortical structure, and psychopathologic characteristics in adolescence.","volume":"5","author":"Kim","year":"2022","journal-title":"JAMA Netw Open"},{"key":"zoi230604r9","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.neubiorev.2021.08.027","article-title":"Socioeconomic status and the developing brain\u2014a systematic review of neuroimaging findings in youth.","volume":"130","author":"Rakesh","year":"2021","journal-title":"Neurosci Biobehav Rev"},{"issue":"5","key":"zoi230604r10","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1038\/nn.3983","article-title":"Family income, parental education and brain structure in children and adolescents.","volume":"18","author":"Noble","year":"2015","journal-title":"Nat Neurosci"},{"issue":"11","key":"zoi230604r11","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2020.23774","article-title":"Assessment of neighborhood poverty, cognitive function, and prefrontal and hippocampal volumes in children.","volume":"3","author":"Taylor","year":"2020","journal-title":"JAMA Netw Open"},{"issue":"10","key":"zoi230604r12","doi-asserted-by":"publisher","DOI":"10.1002\/brb3.531","article-title":"Socioeconomic status, white matter, and executive function in children.","volume":"6","author":"Ursache","year":"2016","journal-title":"Brain Behav"},{"key":"zoi230604r13","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1016\/j.neuroimage.2018.02.043","article-title":"Socioeconomic disparities in academic achievement: a multi-modal investigation of neural mechanisms in children and adolescents.","volume":"173","author":"Rosen","year":"2018","journal-title":"Neuroimage"},{"issue":"3","key":"zoi230604r14","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1002\/hbm.v40.3","article-title":"The relationship between socioeconomic status and white matter microstructure in pre-reading children: a longitudinal investigation.","volume":"40","author":"Ozernov-Palchik","year":"2019","journal-title":"Hum Brain Mapp"},{"key":"zoi230604r15","doi-asserted-by":"publisher","first-page":"547","DOI":"10.3389\/fnhum.2017.00547","article-title":"Family income, cumulative risk exposure, and white matter structure in middle childhood.","volume":"11","author":"Dufford","year":"2017","journal-title":"Front Hum Neurosci"},{"issue":"5","key":"zoi230604r16","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0215560","article-title":"The interplay of socio-economic status represented by paternal educational level, white matter structure and reading.","volume":"14","author":"Vanderauwera","year":"2019","journal-title":"PLoS One"},{"issue":"12","key":"zoi230604r17","doi-asserted-by":"publisher","first-page":"3392","DOI":"10.1002\/hbm.v41.12","article-title":"Childhood socio-economic disadvantage predicts reduced myelin growth across adolescence and young adulthood.","volume":"41","author":"Ziegler","year":"2020","journal-title":"Hum Brain Mapp"},{"issue":"7902","key":"zoi230604r18","doi-asserted-by":"publisher","first-page":"654","DOI":"10.1038\/s41586-022-04492-9","article-title":"Reproducible brain-wide association studies require thousands of individuals.","volume":"603","author":"Marek","year":"2022","journal-title":"Nature"},{"issue":"10","key":"zoi230604r19","doi-asserted-by":"publisher","first-page":"4705","DOI":"10.1073\/pnas.0910397107","article-title":"Distributed neural system for general intelligence revealed by lesion mapping.","volume":"107","author":"Gl\u00e4scher","year":"2010","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"11","key":"zoi230604r20","doi-asserted-by":"publisher","first-page":"1285","DOI":"10.1016\/j.jaac.2019.12.006","article-title":"White matter microstructure and the general psychopathology factor in children.","volume":"59","author":"Neumann","year":"2020","journal-title":"J Am Acad Child Adolesc Psychiatry"},{"key":"zoi230604r21","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.neuroimage.2015.06.014","article-title":"White matter integrity and cognitive performance in school-age children: a population-based neuroimaging study.","volume":"119","author":"Muetzel","year":"2015","journal-title":"Neuroimage"},{"key":"zoi230604r22","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.neuroimage.2017.12.097","article-title":"The development of brain white matter microstructure.","volume":"182","author":"Lebel","year":"2018","journal-title":"Neuroimage"},{"issue":"11","key":"zoi230604r23","doi-asserted-by":"publisher","first-page":"6619","DOI":"10.1038\/s41380-021-01130-0","article-title":"Associations of family income with cognition and brain structure in USA children: prevention implications.","volume":"26","author":"Tomasi","year":"2021","journal-title":"Mol Psychiatry"},{"issue":"1","key":"zoi230604r24","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1038\/s41398-022-01779-3","article-title":"Socioeconomic status, BMI, and brain development in children.","volume":"12","author":"Dennis","year":"2022","journal-title":"Transl Psychiatry"},{"key":"zoi230604r25","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcn.2022.101164","article-title":"Socioeconomic resources are associated with distributed alterations of the brain\u2019s intrinsic functional architecture in youth.","volume":"58","author":"Sripada","year":"2022","journal-title":"Dev Cogn Neurosci"},{"key":"zoi230604r26","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcn.2021.101005","article-title":"Similar but distinct\u2014effects of different socioeconomic indicators on resting state functional connectivity: findings from the Adolescent Brain Cognitive Development (ABCD) study.","volume":"51","author":"Rakesh","year":"2021","journal-title":"Dev Cogn Neurosci"},{"issue":"8","key":"zoi230604r27","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2022.26208","article-title":"Assessment of parent income and education, neighborhood disadvantage, and child brain structure.","volume":"5","author":"Rakesh","year":"2022","journal-title":"JAMA Netw Open"},{"issue":"8","key":"zoi230604r28","doi-asserted-by":"publisher","DOI":"10.1001\/jamapediatrics.2021.0426","article-title":"Association of local variation in neighborhood disadvantage in metropolitan areas with youth neurocognition and brain structure.","volume":"175","author":"Hackman","year":"2021","journal-title":"JAMA Pediatr"},{"key":"zoi230604r29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117086","article-title":"Neighborhood deprivation, prefrontal morphology and neurocognition in late childhood to early adolescence.","volume":"220","author":"Vargas","year":"2020","journal-title":"Neuroimage"},{"issue":"1","key":"zoi230604r30","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1111\/psyp.2016.53.issue-1","article-title":"Neurocognitive development in socioeconomic context: multiple mechanisms and implications for measuring socioeconomic status.","volume":"53","author":"Ursache","year":"2016","journal-title":"Psychophysiology"},{"issue":"2","key":"zoi230604r31","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1002\/hbm.21454","article-title":"Probing tissue microstructure with restriction spectrum imaging: histological and theoretical validation.","volume":"34","author":"White","year":"2013","journal-title":"Hum Brain Mapp"},{"key":"zoi230604r32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116091","article-title":"Image processing and analysis methods for the Adolescent Brain Cognitive Development study.","volume":"202","author":"Hagler","year":"2019","journal-title":"Neuroimage"},{"issue":"12","key":"zoi230604r33","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2021.38300","article-title":"Association of outdoor ambient fine particulate matter with intracellular white matter microstructural properties among children.","volume":"4","author":"Burnor","year":"2021","journal-title":"JAMA Netw Open"},{"key":"zoi230604r34","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcn.2021.101044","article-title":"Microstructural development from 9 to 14 years: evidence from the ABCD study.","volume":"53","author":"Palmer","year":"2022","journal-title":"Dev Cogn Neurosci"},{"issue":"1","key":"zoi230604r35","doi-asserted-by":"publisher","first-page":"2423","DOI":"10.1038\/s41467-022-30110-3","article-title":"Multivariate genome-wide association study on tissue-sensitive diffusion metrics highlights pathways that shape the human brain.","volume":"13","author":"Fan","year":"2022","journal-title":"Nat Commun"},{"issue":"2","key":"zoi230604r36","doi-asserted-by":"publisher","first-page":"1096","DOI":"10.1007\/s12035-018-1161-2","article-title":"Early maternal deprivation induces microglial activation, alters glial fibrillary acidic protein immunoreactivity and indoleamine 2,3-dioxygenase during the development of offspring rats.","volume":"56","author":"R\u00e9us","year":"2019","journal-title":"Mol Neurobiol"},{"key":"zoi230604r37","doi-asserted-by":"publisher","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":"zoi230604r38","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.dcn.2017.10.002","article-title":"The conception of the ABCD study: from substance use to a broad NIH collaboration.","volume":"32","author":"Volkow","year":"2018","journal-title":"Dev Cogn Neurosci"},{"key":"zoi230604r39","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.dcn.2017.10.010","article-title":"Demographic, physical and mental health assessments in the Adolescent Brain and Cognitive Development study: rationale and description.","volume":"32","author":"Barch","year":"2018","journal-title":"Dev Cogn Neurosci"},{"key":"zoi230604r40","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.dcn.2018.02.006","article-title":"Adolescent neurocognitive development and impacts of substance use: overview of the Adolescent Brain Cognitive Development (ABCD) Baseline Neurocognition Battery.","volume":"32","author":"Luciana","year":"2018","journal-title":"Dev Cogn Neurosci"},{"key":"zoi230604r41","doi-asserted-by":"publisher","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"},{"issue":"7","key":"zoi230604r42","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.2105\/AJPH.93.7.1137","article-title":"Area deprivation and widening inequalities in US mortality, 1969-1998.","volume":"93","author":"Singh","year":"2003","journal-title":"Am J Public Health"},{"issue":"11","key":"zoi230604r43","doi-asserted-by":"publisher","first-page":"1897","DOI":"10.1111\/epi.13570","article-title":"Restriction spectrum imaging reveals decreased neurite density in patients with temporal lobe epilepsy.","volume":"57","author":"Loi","year":"2016","journal-title":"Epilepsia"},{"issue":"5","key":"zoi230604r44","doi-asserted-by":"publisher","first-page":"1535","DOI":"10.1002\/hbm.v30:5","article-title":"Automated white-matter tractography using a probabilistic diffusion tensor atlas: application to temporal lobe epilepsy.","volume":"30","author":"Hagler","year":"2009","journal-title":"Hum Brain Mapp"},{"issue":"246","key":"zoi230604r45","first-page":"1","article-title":"2000 CDC growth charts for the United States: methods and development.","author":"Kuczmarski","year":"2002","journal-title":"Vital Health Stat 11"},{"issue":"2","key":"zoi230604r46","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1093\/ajcn\/72.2.490","article-title":"Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3-19 y.","volume":"72","author":"Taylor","year":"2000","journal-title":"Am J Clin Nutr"},{"issue":"3","key":"zoi230604r47","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1038\/sj.ejcn.1602090","article-title":"What is the best measure of adiposity change in growing children: BMI, BMI %, BMI z-score or BMI centile?","volume":"59","author":"Cole","year":"2005","journal-title":"Eur J Clin Nutr"},{"key":"zoi230604r48","author":"van Buuren","year":"2011"},{"key":"zoi230604r49","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.neuroimage.2017.08.047","article-title":"Harmonization of multi-site diffusion tensor imaging data.","volume":"161","author":"Fortin","year":"2017","journal-title":"Neuroimage"},{"issue":"1","key":"zoi230604r50","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v067.i01","article-title":"Fitting linear mixed-effects models using lme4.","volume":"67","author":"Bates","year":"2015","journal-title":"J Stat Softw"},{"issue":"3","key":"zoi230604r51","doi-asserted-by":"publisher","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":"zoi230604r52","author":"Lawrence","year":"2023"},{"key":"zoi230604r53","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.neuroimage.2013.11.027","article-title":"Spurious group differences due to head motion in a diffusion MRI study.","volume":"88","author":"Yendiki","year":"2014","journal-title":"Neuroimage"},{"issue":"2","key":"zoi230604r54","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1176\/appi.ajp.21090961","article-title":"Racial disparities in adversity during childhood and the false appearance of race-related differences in brain structure.","volume":"180","author":"Dumornay","year":"2023","journal-title":"Am J Psychiatry"},{"issue":"2","key":"zoi230604r55","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v048.i02","article-title":"lavaan: An R package for structural equation modeling.","volume":"48","author":"Rosseel","year":"2012","journal-title":"J Stat Softw"},{"issue":"13","key":"zoi230604r56","doi-asserted-by":"publisher","first-page":"3580","DOI":"10.1002\/hbm.v41.13","article-title":"Prospective associations, longitudinal patterns of childhood socioeconomic status, and white matter organization in adulthood.","volume":"41","author":"Dufford","year":"2020","journal-title":"Hum Brain Mapp"},{"issue":"4","key":"zoi230604r57","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1111\/desc.2016.19.issue-4","article-title":"Reading skill-fractional anisotropy relationships in visuospatial tracts diverge depending on socioeconomic status.","volume":"19","author":"Gullick","year":"2016","journal-title":"Dev Sci"},{"issue":"6","key":"zoi230604r58","doi-asserted-by":"publisher","first-page":"2817","DOI":"10.1007\/s11682-019-00187-4","article-title":"The superior longitudinal fascicle: reconsidering the fronto-parietal neural network based on anatomy and function.","volume":"14","author":"Nakajima","year":"2020","journal-title":"Brain Imaging Behav"},{"issue":"5","key":"zoi230604r59","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1007\/s00234-019-02357-z","article-title":"The splenium of the corpus callosum: embryology, anatomy, function and imaging with pathophysiological hypothesis.","volume":"62","author":"Blaauw","year":"2020","journal-title":"Neuroradiology"},{"key":"zoi230604r60","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/j.neuroimage.2012.10.084","article-title":"Identification of a strategic brain network underlying processing speed deficits in vascular cognitive impairment.","volume":"66","author":"Duering","year":"2013","journal-title":"Neuroimage"},{"issue":"1","key":"zoi230604r61","doi-asserted-by":"publisher","first-page":"964","DOI":"10.1038\/s41467-020-14762-7","article-title":"Environmental enrichment ameliorates perinatal brain injury and promotes functional white matter recovery.","volume":"11","author":"Forbes","year":"2020","journal-title":"Nat Commun"},{"issue":"9","key":"zoi230604r62","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.1037\/amp0000741","article-title":"An ecological approach to understanding the developing brain: examples linking poverty, parenting, neighborhoods, and the brain.","volume":"75","author":"Hyde","year":"2020","journal-title":"Am Psychol"},{"issue":"10","key":"zoi230604r63","doi-asserted-by":"publisher","first-page":"5621","DOI":"10.1073\/pnas.090504197","article-title":"A universal scaling law between gray matter and white matter of cerebral cortex.","volume":"97","author":"Zhang","year":"2000","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"1","key":"zoi230604r64","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1146\/immunol.2011.29.issue-1","article-title":"Inflammatory mechanisms in obesity.","volume":"29","author":"Gregor","year":"2011","journal-title":"Annu Rev Immunol"},{"issue":"12","key":"zoi230604r65","doi-asserted-by":"publisher","first-page":"2108","DOI":"10.1177\/0271678X16642233","article-title":"Blood-brain barrier breakdown promotes macrophage infiltration and cognitive impairment in leptin receptor\u2013deficient mice.","volume":"36","author":"Stranahan","year":"2016","journal-title":"J Cereb Blood Flow Metab"},{"issue":"4","key":"zoi230604r66","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.tins.2017.02.005","article-title":"Obesity-induced neuroinflammation: beyond the hypothalamus.","volume":"40","author":"Guillemot-Legris","year":"2017","journal-title":"Trends Neurosci"},{"issue":"3","key":"zoi230604r67","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1007\/s00401-016-1595-4","article-title":"High-fat diet-induced brain region\u2013specific phenotypic spectrum of CNS resident microglia.","volume":"132","author":"Baufeld","year":"2016","journal-title":"Acta Neuropathol"},{"issue":"1","key":"zoi230604r68","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1186\/s12974-016-0666-8","article-title":"High-fat diet feeding differentially affects the development of inflammation in the central nervous system.","volume":"13","author":"Guillemot-Legris","year":"2016","journal-title":"J Neuroinflammation"},{"key":"zoi230604r69","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.molmet.2018.01.018","article-title":"Nucleus accumbens inflammation mediates anxiodepressive behavior and compulsive sucrose seeking elicited by saturated dietary fat.","volume":"10","author":"D\u00e9carie-Spain","year":"2018","journal-title":"Mol Metab"},{"issue":"8","key":"zoi230604r70","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1002\/oby.v29.8","article-title":"Nucleus accumbens microstructure mediates the relationship between obesity and eating behavior in adults.","volume":"29","author":"Samara","year":"2021","journal-title":"Obesity (Silver Spring)"},{"issue":"43","key":"zoi230604r71","doi-asserted-by":"publisher","first-page":"26977","DOI":"10.1073\/pnas.2007918117","article-title":"Nucleus accumbens cytoarchitecture predicts weight gain in children.","volume":"117","author":"Rapuano","year":"2020","journal-title":"Proc Natl Acad Sci U S A"},{"key":"zoi230604r72","doi-asserted-by":"publisher","author":"Rapuano","year":"2022","DOI":"10.1016\/j.jadohealth.2022.01.002"},{"issue":"2","key":"zoi230604r73","doi-asserted-by":"publisher","DOI":"10.1093\/texcom\/tgad007","article-title":"Childhood obesity is linked to putative neuroinflammation in brain white matter, hypothalamus, and striatum.","volume":"4","author":"Li","year":"2023","journal-title":"Cereb Cortex Commun"},{"key":"zoi230604r74","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.bbi.2013.07.175","article-title":"Dysregulation in myelination mediated by persistent neuroinflammation: possible mechanisms in chemotherapy-related cognitive impairment.","volume":"35","author":"Briones","year":"2014","journal-title":"Brain Behav Immun"},{"issue":"4","key":"zoi230604r75","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1016\/j.bpsc.2021.09.004","article-title":"The developmental brain age is associated with adversity, depression, and functional outcomes among adolescents.","volume":"7","author":"Drobinin","year":"2022","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging"},{"issue":"9","key":"zoi230604r76","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1037\/bul0000270","article-title":"Biological aging in childhood and adolescence following experiences of threat and deprivation: a systematic review and meta-analysis.","volume":"146","author":"Colich","year":"2020","journal-title":"Psychol Bull"},{"key":"zoi230604r77","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcn.2021.101002","article-title":"Neighborhood disadvantage and longitudinal brain-predicted-age trajectory during adolescence.","volume":"51","author":"Rakesh","year":"2021","journal-title":"Dev Cogn Neurosci"},{"key":"zoi230604r78","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.cobeha.2015.11.018","article-title":"The stress acceleration hypothesis: effects of early-life adversity on emotion circuits and behavior.","volume":"7","author":"Callaghan","year":"2016","journal-title":"Curr Opin Behav Sci"},{"issue":"42","key":"zoi230604r79","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2204135119","article-title":"Prenatal exposure to maternal social disadvantage and psychosocial stress and neonatal white matter connectivity at birth.","volume":"119","author":"Lean","year":"2022","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"12","key":"zoi230604r80","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1002\/da.v39.12","article-title":"White matter alterations associated with lifetime and current depression in adolescents: evidence for cingulum disruptions.","volume":"39","author":"Barch","year":"2022","journal-title":"Depress Anxiety"},{"issue":"13","key":"zoi230604r81","doi-asserted-by":"publisher","first-page":"2825","DOI":"10.1017\/S0033291714000440","article-title":"Alterations in white matter micro-integrity of the superior longitudinal fasciculus and anterior thalamic radiation of young adult patients with depression.","volume":"44","author":"Lai","year":"2014","journal-title":"Psychol Med"},{"issue":"5","key":"zoi230604r82","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.tem.2009.02.004","article-title":"Childhood obesity and the timing of puberty.","volume":"20","author":"Ahmed","year":"2009","journal-title":"Trends Endocrinol Metab"},{"issue":"9","key":"zoi230604r83","doi-asserted-by":"publisher","first-page":"4839","DOI":"10.1038\/s41380-020-0774-9","article-title":"Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders: evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group.","volume":"26","author":"Opel","year":"2021","journal-title":"Mol Psychiatry"},{"key":"zoi230604r84","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.neurobiolaging.2016.07.010","article-title":"Obesity associated with increased brain age from midlife.","volume":"47","author":"Ronan","year":"2016","journal-title":"Neurobiol Aging"},{"issue":"3","key":"zoi230604r85","first-page":"1765","article-title":"Caloric restriction in older adults\u2014differential effects of weight loss and reduced weight on brain structure and function.","volume":"27","author":"Prehn","year":"2017","journal-title":"Cereb Cortex"},{"issue":"11","key":"zoi230604r86","doi-asserted-by":"publisher","first-page":"3745","DOI":"10.1002\/hbm.v37.11","article-title":"Bariatric surgery induces white and grey matter density recovery in the morbidly obese: a voxel-based morphometric study.","volume":"37","author":"Tuulari","year":"2016","journal-title":"Hum Brain Mapp"},{"issue":"1","key":"zoi230604r87","doi-asserted-by":"publisher","first-page":"2871","DOI":"10.1038\/s41598-021-04258-9","article-title":"Effect of MIND diet intervention on cognitive performance and brain structure in healthy obese women: a randomized controlled trial.","volume":"12","author":"Arjmand","year":"2022","journal-title":"Sci Rep"},{"issue":"1","key":"zoi230604r88","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1159\/000356219","article-title":"Improved frontoparietal white matter integrity in overweight children is associated with attendance at an after-school exercise program.","volume":"36","author":"Krafft","year":"2014","journal-title":"Dev Neurosci"},{"issue":"11","key":"zoi230604r89","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1038\/ijo.2017.162","article-title":"Neuroinflammation in obesity: circulating lipopolysaccharide-binding protein associates with brain structure and cognitive performance.","volume":"41","author":"Moreno-Navarrete","year":"2017","journal-title":"Int J Obes (Lond)"},{"issue":"9","key":"zoi230604r90","doi-asserted-by":"publisher","first-page":"1406","DOI":"10.1002\/ar.v295.9","article-title":"Enriched environment and white matter in aging brain.","volume":"295","author":"Yang","year":"2012","journal-title":"Anat Rec (Hoboken)"},{"issue":"1","key":"zoi230604r91","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/j.appet.2006.11.004","article-title":"Neighbourhood fast food environment and area deprivation\u2014substitution or concentration?","volume":"49","author":"Macdonald","year":"2007","journal-title":"Appetite"},{"issue":"3","key":"zoi230604r92","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.csm.2009.02.004","article-title":"Socioeconomic factors in the development of childhood obesity and diabetes.","volume":"28","author":"Lieb","year":"2009","journal-title":"Clin Sports Med"},{"issue":"6","key":"zoi230604r93","doi-asserted-by":"publisher","first-page":"880","DOI":"10.1093\/eurpub\/ckt177","article-title":"Association of children\u2019s eating behaviors with parental education, and teachers\u2019 health awareness, attitudes and behaviors: a national school-based survey in China.","volume":"24","author":"He","year":"2014","journal-title":"Eur J Public Health"},{"issue":"10","key":"zoi230604r94","doi-asserted-by":"publisher","first-page":"704","DOI":"10.1111\/josh.12303","article-title":"Effects of a curricular physical activity intervention on children\u2019s school performance, wellness, and brain development.","volume":"85","author":"Bunketorp K\u00e4ll","year":"2015","journal-title":"J Sch Health"},{"key":"zoi230604r95","doi-asserted-by":"publisher","first-page":"855","DOI":"10.3389\/fpsyg.2013.00855","article-title":"High school music classes enhance the neural processing of speech.","volume":"4","author":"Tierney","year":"2013","journal-title":"Front Psychol"},{"issue":"5","key":"zoi230604r96","doi-asserted-by":"publisher","first-page":"793","DOI":"10.1111\/desc.2008.11.issue-5","article-title":"Environmental stimulation, parental nurturance and cognitive development in humans.","volume":"11","author":"Farah","year":"2008","journal-title":"Dev Sci"},{"issue":"4","key":"zoi230604r97","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1038\/s41588-022-01016-z","article-title":"Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals.","volume":"54","author":"Okbay","year":"2022","journal-title":"Nat Genet"},{"issue":"22","key":"zoi230604r98","doi-asserted-by":"publisher","first-page":"12411","DOI":"10.1073\/pnas.2001228117","article-title":"Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment.","volume":"117","author":"Judd","year":"2020","journal-title":"Proc Natl Acad Sci U S A"}],"container-title":["JAMA Network Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/articlepdf\/2806419\/li_2023_oi_230604_1686766009.50951.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T11:36:46Z","timestamp":1687865806000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/fullarticle\/2806419"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,27]]},"references-count":98,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,6,1]]}},"URL":"https:\/\/doi.org\/10.1001\/jamanetworkopen.2023.20276","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2023.02.09.23285150","asserted-by":"object"}]},"ISSN":["2574-3805"],"issn-type":[{"value":"2574-3805","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,27]]}}}