ArticleCognitive, affective & behavioral neuroscience2019
Socioeconomic disadvantage, brain morphometry, and attentional bias to threat in middle childhood.
Article in Cognitive, affective & behavioral neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Examination of poverty trajectories and brain volume as predictors of adolescent depression.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2026Article
- Socioeconomic disparities and health-related parenting practices in shaping early infant neurodevelopment: evidence from a Chinese prospective birth cohort.BMC pregnancy and childbirth · 2026Article
- Factors in the Mental Health of Children from Low-Income Families in the United States: An Application of the Multiple Disadvantage Model.European journal of investigation in health, psychology and education · 2025Article
- Psychological characteristics of the rural poor from self-assessment and external assessment perspectives and their association with socio-demographic factors.Frontiers in psychology · 2025Article
- Measuring Socioeconomic and Stress Disparities in Infant Declarative Memory Using the Visual Paired Comparison Task.Developmental psychobiology · 2024Article
- The neurophysiological consequences of racism-related stressors in Black Americans.Neuroscience and biobehavioral reviews · 2024Review
- Socioeconomic Disparities in Hypothalamic-Pituitary-Adrenal Axis Regulation and Prefrontal Cortical Structure.Biological psychiatry global open science · 2024Review
- Life with pets study: lower income veterinary clients' perception of pets' quality of life.Frontiers in veterinary science · 2024Article
- Attention Bias and Anxiety: The Moderating Effect of Sociocultural Variables in Rural Latinx Youth.Community mental health journal · 2023Article
- Childhood socioeconomic status and the pace of structural neurodevelopment: accelerated, delayed, or simply different?Trends in cognitive sciences · 2023Review
- State-level macro-economic factors moderate the association of low income with brain structure and mental health in U.S. children.Nature communications · 2023Article
- Family income is not significantly associated with T1w/T2w ratio in the Human Connectome Project in Development.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Being a morning man has causal effects on the cerebral cortex: a Mendelian randomization study.Frontiers in neuroscience · 2023Article
- Attentional bias to threat and gray matter volume morphology in high anxious individuals.Cognitive, affective & behavioral neuroscience · 2022Article
- Article
- Timing-specific associations between income-to-needs ratio and hippocampal and amygdala volumes in middle childhood: A preliminary study.Developmental psychobiology · 2021Article
- Childhood socioeconomic status is prospectively associated with surface morphometry in adulthood.Developmental psychobiology · 2021Article
- The Neuroscience of Socioeconomic Inequality.Current opinion in behavioral sciences · 2020Article
- Prospective associations, longitudinal patterns of childhood socioeconomic status, and white matter organization in adulthood.Human brain mapping · 2020Article
- Multiple testing correction over contrasts for brain imaging.NeuroImage · 2020Article
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3 authors.
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Abstract
Socioeconomic disadvantage is associated with higher rates of psychopathology as well as hippocampus, amygdala and prefrontal cortex structure. However, little is known about how variations in brain morphometry are associated with socio-emotional risks for mood disorders in children growing up in families experiencing low income. In the current study, using structural magnetic resonance imaging, we examined the relationship between socioeconomic disadvantage and gray matter volume in the hippocampus, amygdala, and ventrolateral prefrontal cortex in a sample of children (n = 34) in middle childhood. Using an affective dot probe paradigm, we examined the association between gray matter volume in these regions and attentional bias to threat, a risk marker for mood disorders including anxiety disorders. We found that lower income-to-needs ratio was associated with lower bilateral hippocampal and right amygdala volume, but not prefrontal cortex volumes. Moreover, lower attentional bias to threat was associated with greater left hippocampal volume. We provide evidence of a relationship between income-related variations in brain structure and attentional bias to threat, a risk for mood disorders. Therefore, these findings support an environment-morphometry-behavior relationship that contributes to the understanding of income-related mental health disparities in childhood.
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