Trajectories of brain volumes in young children are associated with maternal education

Author:

Zhu Changbo1ORCID,Chen Yaqing2,Müller Hans‐Georg3,Wang Jane‐Ling3,O'Muircheartaigh Jonathan456ORCID,Bruchhage Muriel789,Deoni Sean10ORCID

Affiliation:

1. Department of Applied and Computational Mathematics and Statistics University of Notre Dame South Bend Indiana USA

2. Department of Statistics Rutgers University New Brunswick New Jersey USA

3. Department of Statistics University of California Davis California USA

4. Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences King's College London London UK

5. Department of Forensic and Neurodevelopmental Sciences King's College London London UK

6. MRC Centre for Neurodevelopmental Disorders King's College London London UK

7. Department of Diagnostic Imaging Rhode Island Hospital Providence Rhode Island USA

8. Department of Pediatrics Warren Alpert Medical School at Brown University Providence Rhode Island USA

9. Institute of Social Studies University of Stavanger Stavanger Norway

10. MNCH D&T Bill & Melinda Gates Foundation Seattle Washington USA

Abstract

AbstractBrain growth in early childhood is reflected in the evolution of proportional cerebrospinal fluid volumes (pCSF), grey matter (pGM), and white matter (pWM). We study brain development as reflected in the relative fractions of these three tissues for a cohort of 388 children that were longitudinally followed between the ages of 18 and 96 months. We introduce statistical methodology (Riemannian Principal Analysis through Conditional Expectation, RPACE) that addresses major challenges that are of general interest for the analysis of longitudinal neuroimaging data, including the sparsity of the longitudinal observations over time and the compositional structure of the relative brain volumes. Applying the RPACE methodology, we find that longitudinal growth as reflected by tissue composition differs significantly for children of mothers with higher and lower maternal education levels.

Funder

Bill and Melinda Gates Foundation

National Institutes of Health

National Science Foundation

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3