Evaluating the Effect of Neighborhood-level Disadvantage on Brain Health: An Imaging Epidemiology Study.

IF 17.6 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Radiology Pub Date : 2026-09-01 DOI:10.1148/radiol.260693
Ethan H Willbrand, Elizabeth M Stoeckl, Daryn Belden, Sheena Y Chu, Eleanna M Melcher, Daniil Zhitnitskii, Elena Bonke, Jussi Mattila, Usman Iftikhar, Juha Koikkalainen, Antti Tolonen, Jyrki Lötjönen, Richard Bruce, John-Paul J Yu
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Abstract

Background The relationship between neighborhood-level socioeconomic disadvantage and brain health is an emerging area of research with critical implications for public health and clinical practice, yet its association with brain structure remains unclear. Purpose To investigate the epidemiologic association between neighborhood-level socioeconomic disadvantage (measured using the Area Deprivation Index [ADI]) and morphometric neuroimaging variables in a real-world clinical population. Materials and Methods This retrospective study, conducted at an academic medical center and associated community partners, used consecutive cross-sectional brain MRI neuroimaging data from patients without radiologic evidence of disease. ADI, a geospatially determined index of neighborhood-level disadvantage, was calculated per patient. Linear regressions was used to test the relationship between ADI and multiple morphometric variables: brain age gap (BAG; estimated minus chronologic brain age), total brain volume (TBV; total gray plus white matter), total white matter hyperintensity volume (WMHV), five subcortical region volumes (hippocampus, thalamus, caudate, putamen, and nucleus accumbens), and four cortical region volumes (anterior cingulate cortex, posterior cingulate cortex, medial frontal cortex, and dorsolateral prefrontal cortex [DLPFC]). Volumetric measures were normalized to intracranial volume. Models controlled for age and sex. Results This study evaluated 2826 patients (mean age, 53 years ± 18.8 [SD]; 1732 female). Residence in the most disadvantaged neighborhoods (national, 116 of 2826 patients; state, 129 of 2826) was associated with higher BAG (adjusted differences, β value, national: 2.72 years [P < .001]; state: 3.02 years [P < .001]) and lower TBV (β value, national: -6.33 normalized mL [P = .01]; state: -7.46 [P = .002]). WMHV was higher among those in the most disadvantaged neighborhoods (β value, national: 0.31 log-transformed normalized mL [P < .001]; state: 0.32 [P < .001]). Interaction models showed increased negative associations between WMHV and striatal (β value, -0.02; P = .01) and DLPFC volumes (β value, -0.40; P = .008) among those in the most disadvantaged neighborhoods. Conclusion Residence in the most disadvantaged neighborhoods was associated with adverse brain morphometry, including higher BAG, lower TBV, and higher WMHV at brain MRI. © RSNA, 2026 Supplemental material is available for this article. See also the editorial by Meltzer in this issue.

评估邻域劣势对脑健康的影响:一项影像学流行病学研究。
社区水平的社会经济劣势与大脑健康之间的关系是一个新兴的研究领域,对公共卫生和临床实践具有重要意义,但其与大脑结构的关系尚不清楚。目的探讨现实世界临床人群中社区水平社会经济劣势(使用区域剥夺指数[ADI]测量)与形态测量神经影像学变量之间的流行病学关联。材料和方法本回顾性研究在一个学术医疗中心和相关社区合作伙伴进行,使用来自无放射学证据的患者的连续横切面脑MRI神经成像数据。ADI是一种由地理空间决定的邻里劣势指数,计算每位患者。使用线性回归检验ADI与多个形态计量变量之间的关系:脑年龄差距(BAG;估计减去实际脑年龄),总脑容量(TBV;总灰质加白质体积)、总白质高强度体积(WMHV)、5个皮质下区域体积(海马、丘脑、尾状核、壳核和伏隔核)和4个皮质区域体积(前扣带皮层、后扣带皮层、内侧额叶皮层和背外侧前额叶皮层[DLPFC])。容积测量归一化为颅内容积。模型根据年龄和性别进行控制。结果本研究共纳入2826例患者(平均年龄53岁±18.8 [SD],女性1732例)。居住在最贫困社区(全国,2826例中116例;州,2826例中129例)与较高的BAG(调整差值,β值,全国:2.72年[P < 0.001];州:3.02年[P < 0.001])和较低的TBV (β值,全国:-6.33标准化mL [P = 0.01];州:-7.46 [P = 0.002])相关。WMHV在最贫困社区中较高(β值,全国:0.31 log-transformed normalized mL [P < .001];州:0.32 [P < .001])。交互作用模型显示,在最弱势社区中,WMHV与纹状体(β值,-0.02,P = 0.01)和DLPFC体积(β值,-0.40,P = 0.008)呈负相关增加。结论居住在最弱势社区与不良脑形态测量相关,包括脑MRI上较高的BAG、较低的TBV和较高的WMHV。©RSNA, 2026本文提供补充材料。参见Meltzer在本期的社论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radiology
Radiology 医学-核医学
CiteScore
35.20
自引率
3.00%
发文量
596
审稿时长
3.6 months
期刊介绍: Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.
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