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      Socioeconomic disadvantage and episodic memory ability in the ABCD sample: Contributions of hippocampal subregion and subfield volumes

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          Abstract

          Socioeconomic disadvantage is associated with volumetric differences in stress-sensitive neural structures, including the hippocampus, and deficits in episodic memory. Rodent studies provide evidence that memory deficits arise via stress-related structural differences in hippocampal subdivisions; however, human studies have only provided limited evidence to support this notion. We used a sample of 10,695 9–13-year-old participants from two timepoints of the Adolescent Brain and Cognitive Development (ABCD) Study to assess whether socioeconomic disadvantage relates to episodic memory performance through hippocampal volumes. We explored associations among socioeconomic disadvantage, measured via the Area Deprivation Index (ADI), concurrent subregion (anterior, posterior) and subfield volumes (CA1, CA3, CA4/DG, subiculum), and episodic memory, assessed via the NIH Toolbox Picture Sequence Memory Test at baseline and 2-year follow-up (Time 2). Results showed that higher baseline ADI related to smaller concurrent anterior, CA1, CA4/DG, and subiculum volumes and poorer Time 2 memory performance controlling for baseline memory. Moreover, anterior, CA1, and subiculum volumes mediated the longitudinal association between the ADI and memory. Results suggest that greater socioeconomic disadvantage relates to smaller hippocampal subregion and subfield volumes and less age-related improvement in memory. These findings shed light on the neural mechanisms linking socioeconomic disadvantage and cognitive ability in childhood.

          Highlights

          • Socioeconomic disadvantage relates to smaller hippocampal subregion and subfield volumes.

          • Socioeconomic disadvantage relates to less growth in memory over a 2-year period.

          • Hippocampal volumes mediate the relation between socioeconomic disadvantage and memory.

          • Results offer evidence of a neural mechanism linking disadvantage and cognition.

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          Most cited references69

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          Fitting Linear Mixed-Effects Models Usinglme4

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            FreeSurfer.

            FreeSurfer is a suite of tools for the analysis of neuroimaging data that provides an array of algorithms to quantify the functional, connectional and structural properties of the human brain. It has evolved from a package primarily aimed at generating surface representations of the cerebral cortex into one that automatically creates models of most macroscopically visible structures in the human brain given any reasonable T1-weighted input image. It is freely available, runs on a wide variety of hardware and software platforms, and is open source. Copyright © 2012 Elsevier Inc. All rights reserved.
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              Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

              We present a technique for automatically assigning a neuroanatomical label to each voxel in an MRI volume based on probabilistic information automatically estimated from a manually labeled training set. In contrast to existing segmentation procedures that only label a small number of tissue classes, the current method assigns one of 37 labels to each voxel, including left and right caudate, putamen, pallidum, thalamus, lateral ventricles, hippocampus, and amygdala. The classification technique employs a registration procedure that is robust to anatomical variability, including the ventricular enlargement typically associated with neurological diseases and aging. The technique is shown to be comparable in accuracy to manual labeling, and of sufficient sensitivity to robustly detect changes in the volume of noncortical structures that presage the onset of probable Alzheimer's disease.
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                Author and article information

                Contributors
                Journal
                Dev Cogn Neurosci
                Dev Cogn Neurosci
                Developmental Cognitive Neuroscience
                Elsevier
                1878-9293
                1878-9307
                18 July 2022
                October 2022
                18 July 2022
                : 57
                : 101138
                Affiliations
                [a ]University of Maryland, College Park, Department of Psychology, United States
                [b ]University of Pennsylvania, Department of Psychology, United States
                Author notes
                [* ]Correspondence to: Department of Psychology, University of Maryland, College Park, MD, 20742, United States. mbotdorf@ 123456sas.upenn.edu
                [1]

                Present Address: Department of Psychology, University of Pennsylvania, Philadelphia, PA, 19104 United States

                Article
                S1878-9293(22)00081-0 101138
                10.1016/j.dcn.2022.101138
                9335384
                35907312
                3a207b53-c4ea-4b05-8672-bd583d255d59
                © 2022 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
                : 27 January 2022
                : 22 April 2022
                : 15 July 2022
                Categories
                Original Research

                Neurosciences
                socioeconomic disadvantage,hippocampus,episodic memory,development
                Neurosciences
                socioeconomic disadvantage, hippocampus, episodic memory, development

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