Author
Ellzabeth Stuart
Bio: Ellzabeth Stuart is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Neurocognitive & Longitudinal study. The author has an hindex of 1, co-authored 1 publications receiving 22 citations.
Topics: Neurocognitive, Longitudinal study, Population
Papers
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Florida International University1, University of Rochester Medical Center2, University of Missouri3, University of Michigan4, University of California, San Diego5, Haukeland University Hospital6, University of Massachusetts Medical School7, Children's Hospital Los Angeles8, University of Oxford9, Washington University in St. Louis10, University of Vermont11, National Institute on Drug Abuse12, Virginia Commonwealth University13, Johns Hopkins University14, McGovern Institute for Brain Research15
TL;DR: The ABCD Study aims and design are described, as well as issues surrounding estimation of meaningful associations using its data, including population inferences, hypothesis testing, power and precision, control of covariates, interpretation of associations, and recommended best practices for reproducible research, analytical procedures and reporting of results.
Abstract: The Adolescent Brain Cognitive Development (ABCD) Study is the largest single-cohort prospective longitudinal study of neurodevelopment and children9s health in the United States. A cohort of n=11,880 children aged 9-10 years (and their parents/guardians) were recruited across 22 sites and are being followed with in-person visits on an annual basis for at least 10 years. The study approximates the US population on several key sociodemographic variables, including sex, race, ethnicity, household income, and parental education. Data collected include assessments of health, mental health, substance use, culture and environment and neurocognition, as well as geocoded exposures, structural and functional magnetic resonance imaging (MRI), and whole-genome genotyping. Here, we describe the ABCD Study aims and design, as well as issues surrounding estimation of meaningful associations using its data, including population inferences, hypothesis testing, power and precision, control of covariates, interpretation of associations, and recommended best practices for reproducible research, analytical procedures and reporting of results.
25 citations
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TL;DR: In this paper, a review of recent findings of typical postnatal macro-and microstructural development of the cerebral cortex from early childhood to young adulthood is presented, integrating imaging studies with cortical gene expression findings to further understand the underlying neurobiology of the developmental changes, bridging the gap between ex vivo histological-and in vivo MRI studies.
45 citations
TL;DR: In this article, the authors provide a brief overview of diffusion magnetic resonance imaging (dMRI) methods and how they can be used to study white matter and connectivity and review the extant literature examining the links between dMRI indices and executive functions during development.
19 citations
TL;DR: Early adversity influences brain development and emerging behavioral phenotypes relevant for psychiatric disorders as discussed by the authors, which has implications for contextualizing current public health crises and pervasive health inequities, and highlight targets for future research.
15 citations
TL;DR: The authors investigated the association between previous childbirths and white matter brain age in 8,895 women in the UK Biobank cohort (age range = 54-81 years) and found that the number of previous childbirth events was negatively associated with white brain age, potentially indicating a protective effect of parity on white matter later in life.
Abstract: Maternal brain adaptations occur in response to pregnancy, but little is known about how parity impacts white matter and white matter ageing trajectories later in life. Utilising global and regional brain age prediction based on multi-shell diffusion-weighted imaging data, we investigated the association between previous childbirths and white matter brain age in 8,895 women in the UK Biobank cohort (age range = 54-81 years). The results showed that number of previous childbirths was negatively associated with white matter brain age, potentially indicating a protective effect of parity on white matter later in life. Both global white matter and grey matter brain age estimates showed unique contributions to the association with previous childbirths, suggesting partly independent processes. Corpus callosum contributed uniquely to the global white matter association with previous childbirths, and showed a stronger relationship relative to several other tracts. While our findings demonstrate a link between reproductive history and brain white matter characteristics later in life, longitudinal studies are required to establish causality and determine how parity may influence women's white matter trajectories across the lifespan.
12 citations