ArticleDevelopmental cognitive neuroscience2019
Stable longitudinal associations of family income with children's hippocampal volume and memory persist after controlling for polygenic scores of educational attainment.
Article in Developmental cognitive neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of the relation between hippocampal volume and memory ability in typically developing children and adolescents.Hippocampus · 2022Pooled it
- Family income and polygenic scores are independently but not interactively associated with cognitive performance among youth genetically similar to European reference populations.Development and psychopathology · 2025Article
- Polygenic Scores of Executive Function Provide Limited Support for Genetic Confounding With Socio-Economic Measures.Genes, brain, and behavior · 2025Article
- Looking at Philosophy for Children and Its Outcomes Through a Neuroscience Lens.Basic and clinical neuroscience · 2025Review
- Measuring Socioeconomic and Stress Disparities in Infant Declarative Memory Using the Visual Paired Comparison Task.Developmental psychobiology · 2024Article
- Childhood obesity's effect on cognition and brain connectivity worsens with low family income.JCI insight · 2024Article
- Article
- Household socioeconomic status relates to specific hippocampal subfield volumes across development.Hippocampus · 2023Article
- Poverty from fetal life onward and child brain morphology.Scientific reports · 2023Article
- Educational attainment polygenic scores, socioeconomic factors, and cortical structure in children and adolescents.Human brain mapping · 2022Article
- Human brain anatomy reflects separable genetic and environmental components of socioeconomic status.Science advances · 2022Article
- 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.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022Article
- Change by challenge: A common genetic basis behind childhood cognitive development and cognitive training.NPJ science of learning · 2021Article
- The Neuroscience of Socioeconomic Inequality.Current opinion in behavioral sciences · 2020Article
- Association studies of dopamine synthesis and metabolism genes with multiple phenotypes of heroin dependence.BMC medical genetics · 2020Article
- Mechanisms of learning and plasticity in childhood and adolescence.Developmental cognitive neuroscience · 2020Article
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Authors and funding
8 authors.
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Abstract
Despite common notion that the correlation of socioeconomic status with child cognitive performance may be driven by both environmentally- and genetically-mediated transactional pathways, there is a lack of longitudinal and genetically informed research that examines these postulated associations. The present study addresses whether family income predicts associative memory growth and hippocampal development in middle childhood and tests whether these associations persist when controlling for DNA-based polygenic scores of educational attainment. Participants were 142 6-to-7-year-old children, of which 127 returned when they were 8-to-9 years old. Longitudinal analyses indicated that the association of family income with children's memory performance and hippocampal volume remained stable over this age range and did not predict change. On average, children from economically disadvantaged background showed lower memory performance and had a smaller hippocampal volume. There was no evidence to suggest that differences in memory performance were mediated by differences in hippocampal volume. Further exploratory results suggested that the relationship of income with hippocampal volume and memory in middle childhood is not primarily driven by genetic variance captured by polygenic scores of educational attainment, despite the fact that polygenic scores significantly predicted family income.
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