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      Neuroplasticity associated with changes in conversational turn-taking following a family-based intervention

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          Highlights

          • An RCT family-based intervention increased adult-child conversational turns.

          • Across all participants, turn-taking changes (TTC) predicted neurocognitive changes.

          • TTC predicted verbal, nonverbal, and executive functioning improvements.

          • TTC predicted cortical thickening in left inferior frontal and supramarginal regions.

          • Neuroplasticity mediated relationships between TTC and language development.

          Abstract

          Children’s early language environments are associated with linguistic, cognitive, and academic development, as well as concurrent brain structure and function. This study investigated neurodevelopmental mechanisms linking language input to development by measuring neuroplasticity associated with an intervention designed to enhance language environments of families primarily from lower socioeconomic backgrounds. Families of 52 4-to-6 year-old children were randomly assigned to a 9-week, interactive, family-based intervention or no-contact control group. Children completed pre- and post-assessments of verbal and nonverbal cognition (n = 52), structural magnetic resonance imaging (n = 45), and home auditory recordings of language exposure (n = 39). Families who completed the intervention exhibited greater increases in adult-child conversational turns, and changes in turn-taking mediated intervention effects on language and executive functioning measures. Collapsing across groups, turn-taking changes were also positively correlated with cortical thickening in left inferior frontal and supramarginal gyri, the latter of which mediated relationships between changes in turn-taking and children’s language development. This is the first study of longitudinal neuroplasticity in response to changes in children’s language environments, and findings suggest that conversational turns support language development through cortical growth in language and social processing regions. This has implications for early interventions to enhance children’s language environments to support neurocognitive development.

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          Most cited references70

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          Executive Functions

          Executive functions (EFs) make possible mentally playing with ideas; taking the time to think before acting; meeting novel, unanticipated challenges; resisting temptations; and staying focused. Core EFs are inhibition [response inhibition (self-control—resisting temptations and resisting acting impulsively) and interference control (selective attention and cognitive inhibition)], working memory, and cognitive flexibility (including creatively thinking “outside the box,” seeing anything from different perspectives, and quickly and flexibly adapting to changed circumstances). The developmental progression and representative measures of each are discussed. Controversies are addressed (e.g., the relation between EFs and fluid intelligence, self-regulation, executive attention, and effortful control, and the relation between working memory and inhibition and attention). The importance of social, emotional, and physical health for cognitive health is discussed because stress, lack of sleep, loneliness, or lack of exercise each impair EFs. That EFs are trainable and can be improved with practice is addressed, including diverse methods tried thus far.
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            An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

            In this study, we have assessed the validity and reliability of an automated labeling system that we have developed for subdividing the human cerebral cortex on magnetic resonance images into gyral based regions of interest (ROIs). Using a dataset of 40 MRI scans we manually identified 34 cortical ROIs in each of the individual hemispheres. This information was then encoded in the form of an atlas that was utilized to automatically label ROIs. To examine the validity, as well as the intra- and inter-rater reliability of the automated system, we used both intraclass correlation coefficients (ICC), and a new method known as mean distance maps, to assess the degree of mismatch between the manual and the automated sets of ROIs. When compared with the manual ROIs, the automated ROIs were highly accurate, with an average ICC of 0.835 across all of the ROIs, and a mean distance error of less than 1 mm. Intra- and inter-rater comparisons yielded little to no difference between the sets of ROIs. These findings suggest that the automated method we have developed for subdividing the human cerebral cortex into standard gyral-based neuroanatomical regions is both anatomically valid and reliable. This method may be useful for both morphometric and functional studies of the cerebral cortex as well as for clinical investigations aimed at tracking the evolution of disease-induced changes over time, including clinical trials in which MRI-based measures are used to examine response to treatment.
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              Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium

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                Author and article information

                Contributors
                Journal
                Dev Cogn Neurosci
                Dev Cogn Neurosci
                Developmental Cognitive Neuroscience
                Elsevier
                1878-9293
                1878-9307
                26 May 2021
                June 2021
                26 May 2021
                : 49
                : 100967
                Affiliations
                [a ]Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, United States
                [b ]Center for Education Policy Research, Harvard University, United States
                [c ]Graduate School of Education, Harvard University, United States
                [d ]Integrated Learning Initiative, Massachusetts Institute of Technology, United States
                Author notes
                [* ]Corresponding author at: MIT 46-4037, 43 Vassar St, Cambridge, MA, 02139, United States. rromeo@ 123456mit.edu
                [1]

                Current affiliation: Department of Psychology, Harvard University.

                [2]

                Current affiliation: Department of Psychology, University of Pennsylvania.

                [3]

                Current affiliation: Department of Psychological and Brain Sciences, University of California at Santa Barbara.

                [4]

                Current affiliation: School of Nursing, University of Pennsylvania.

                [5]

                Current affiliation: Graduate School of Education, Stanford University.

                Article
                S1878-9293(21)00058-X 100967
                10.1016/j.dcn.2021.100967
                8175277
                34052580
                4754d179-355e-402c-9bd5-077efa268b91
                © 2021 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
                : 30 October 2020
                : 18 March 2021
                : 25 May 2021
                Categories
                Original Research

                Neurosciences
                neuroplasticity,conversational turns,socioeconomic status,family-based intervention,language development,lena

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