Literature DB >> 25896418

Neuroanatomical correlates of the income-achievement gap.

Allyson P Mackey1, Amy S Finn2, Julia A Leonard2, Drew S Jacoby-Senghor3, Martin R West4, Christopher F O Gabrieli5, John D E Gabrieli6.   

Abstract

In the United States, the difference in academic achievement between higher- and lower-income students (i.e., the income-achievement gap) is substantial and growing. In the research reported here, we investigated neuroanatomical correlates of this gap in adolescents (N = 58) in whom academic achievement was measured by statewide standardized testing. Cortical gray-matter volume was significantly greater in students from higher-income backgrounds (n = 35) than in students from lower-income backgrounds (n = 23), but cortical white-matter volume and total cortical surface area did not differ significantly between groups. Cortical thickness in all lobes of the brain was greater in students from higher-income than lower-income backgrounds. Greater cortical thickness, particularly in temporal and occipital lobes, was associated with better test performance. These results represent the first evidence that cortical thickness in higher- and lower-income students differs across broad swaths of the brain and that cortical thickness is related to scores on academic-achievement tests.
© The Author(s) 2015.

Entities:  

Keywords:  academic achievement; adolescent development; brain; cognitive neuroscience

Mesh:

Year:  2015        PMID: 25896418      PMCID: PMC4458190          DOI: 10.1177/0956797615572233

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  24 in total

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Journal:  Neuroimage       Date:  2007-04-06       Impact factor: 6.556

Review 5.  Socioeconomic status and child development.

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Review 9.  Plasticity in gray and white: neuroimaging changes in brain structure during learning.

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  58 in total

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4.  Socioeconomic Status and Reading Disability: Neuroanatomy and Plasticity in Response to Intervention.

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5.  Targeted Estimation of the Relationship Between Childhood Adversity and Fluid Intelligence in a US Population Sample of Adolescents.

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7.  Media multitasking in adolescence.

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8.  Neurostructural Heterogeneity in Youths With Internalizing Symptoms.

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10.  Biological aging in childhood and adolescence following experiences of threat and deprivation: A systematic review and meta-analysis.

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