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      Stable longitudinal associations of family income with children’s hippocampal volume and memory persist after controlling for polygenic scores of educational attainment

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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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          Socioeconomic gradients predict individual differences in neurocognitive abilities.

          Socioeconomic status (SES) is associated with childhood cognitive achievement. In previous research we found that this association shows neural specificity; specifically we found that groups of low and middle SES children differed disproportionately in perisylvian/language and prefrontal/executive abilities relative to other neurocognitive abilities. Here we address several new questions: To what extent does this disparity between groups reflect a gradient of SES-related individual differences in neurocognitive development, as opposed to a more categorical difference? What other neurocognitive systems differ across individuals as a function of SES? Does linguistic ability mediate SES differences in other systems? And how do specific prefrontal/executive subsystems vary with SES? One hundred and fifty healthy, socioeconomically diverse first-graders were administered tasks tapping language, visuospatial skills, memory, working memory, cognitive control, and reward processing. SES explained over 30% of the variance in language, and a smaller but highly significant portion of the variance in most other systems. Statistically mediating factors and possible interventional approaches are discussed.
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            Vividness of Visual Imagery and Incidental Recall of Verbal Cues, When Phenomenological Availability Reflects Long-Term Memory Accessibility

            The relationship between vivid visual mental images and unexpected recall (incidental recall) was replicated, refined, and extended. In Experiment 1, participants were asked to generate mental images from imagery-evoking verbal cues (controlled on several verbal properties) and then, on a trial-by-trial basis, rate the vividness of their images; 30 min later, participants were surprised with a task requiring free recall of the cues. Higher vividness ratings predicted better incidental recall of the cues than individual differences (whose effect was modest). Distributional analysis of image latencies through ex-Gaussian modeling showed an inverse relation between vividness and latency. However, recall was unrelated to image latency. The follow-up Experiment 2 showed that the processes underlying trial-by-trial vividness ratings are unrelated to the Vividness of Visual Imagery Questionnaire (VVIQ), as further supported by a meta-analysis of a randomly selected sample of relevant literature. The present findings suggest that vividness may act as an index of availability of long-term sensory traces, playing a non-epiphenomenal role in facilitating the access of those memories.
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              How Much Does Childhood Poverty Affect the Life Chances of Children?

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                Author and article information

                Contributors
                Journal
                Dev Cogn Neurosci
                Dev Cogn Neurosci
                Developmental Cognitive Neuroscience
                Elsevier
                1878-9293
                1878-9307
                17 October 2019
                December 2019
                17 October 2019
                : 40
                : 100720
                Affiliations
                [a ]Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
                [b ]Department of Psychology, University of Texas at Austin, TX, USA
                [c ]Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
                [d ]Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
                [e ]Charité - Universitätsmedizin Berlin, Institute of Medical Psychology, Berlin, Germany
                [f ]Pennsylvania State University, Department of Biobehavioral Health, University Park, PA, USA
                [g ]Institute of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany
                [h ]Dept. of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
                Author notes
                [* ]Corresponding author at: Institute of Psychology, Goethe University Frankfurt, Theodor-W.-Adorno-Platz 6, 60629, Frankfurt am Main, Germany. shing@ 123456psych.uni-frankfurt.de
                Article
                S1878-9293(19)30307-X 100720
                10.1016/j.dcn.2019.100720
                6974918
                31678692
                f3a87758-aa95-487a-98b4-7785fbc29ae5
                © 2019 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 10 May 2019
                : 7 October 2019
                : 13 October 2019
                Categories
                Flux 2018: Mechanisms of Learning & Plasticity

                Neurosciences
                socioeconomic status,memory,hippocampus,childhood,longitudinal,genetics
                Neurosciences
                socioeconomic status, memory, hippocampus, childhood, longitudinal, genetics

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