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      Physical Activity Increases White Matter Microstructure in Children

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          Abstract

          Children are becoming increasingly inactive, unfit, and overweight, yet there is relatively little causal evidence regarding the effects of physical activity on brain health during childhood. The present study examined the effects of an after-school physical activity program (FITKids2) on the microstructure of white matter tracts in 7- to 9-year-old children. We measured the microstructural properties of white matter via diffusion tensor imaging in 143 children before and after random assignment to either a 9-month after-school physical activity program ( N = 76, mean age = 8.7 years) or a wait list control group ( N = 67, mean age = 8.7 years). Our results demonstrate that children who participated in the physical activity program showed increased white matter microstructure in the genu of the corpus callosum, with no changes in white matter microstructure in the wait list control group which reflects typical development. Specifically, children in the physical activity program showed increases in fractional anisotropy (FA) and decreases in radial diffusivity (RD) in the genu from pre- to post-test, thereby suggesting more tightly bundled and structurally compact fibers (FA) and increased myelination (RD), with no changes in estimates of axonal fiber diameter (axial diffusivity, AD). The corpus callosum integrates cognitive, motor, and sensory information between the left and right hemispheres of the brain, and the white matter tract plays a role in cognition and behavior. Our findings reinforce the importance of physical activity for brain health during child development.

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          Most cited references56

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          The adolescent brain.

          Adolescence is a developmental period characterized by suboptimal decisions and actions that are associated with an increased incidence of unintentional injuries, violence, substance abuse, unintended pregnancy, and sexually transmitted diseases. Traditional neurobiological and cognitive explanations for adolescent behavior have failed to account for the nonlinear changes in behavior observed during adolescence, relative to both childhood and adulthood. This review provides a biologically plausible model of the neural mechanisms underlying these nonlinear changes in behavior. We provide evidence from recent human brain imaging and animal studies that there is a heightened responsiveness to incentives and socioemotional contexts during this time, when impulse control is still relatively immature. These findings suggest differential development of bottom-up limbic systems, implicated in incentive and emotional processing, to top-down control systems during adolescence as compared to childhood and adulthood. This developmental pattern may be exacerbated in those adolescents prone to emotional reactivity, increasing the likelihood of poor outcomes.
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            Demyelination increases radial diffusivity in corpus callosum of mouse brain.

            Myelin damage, as seen in multiple sclerosis (MS) and other demyelinating diseases, impairs axonal conduction and can also be associated with axonal degeneration. Accurate assessments of these conditions may be highly beneficial in evaluating and selecting therapeutic strategies for patient management. Recently, an analytical approach examining diffusion tensor imaging (DTI) derived parameters has been proposed to assess the extent of axonal damage, demyelination, or both. The current study uses the well-characterized cuprizone model of experimental demyelination and remyelination of corpus callosum in mouse brain to evaluate the ability of DTI parameters to detect the progression of myelin degeneration and regeneration. Our results demonstrate that the extent of increased radial diffusivity reflects the severity of demyelination in corpus callosum of mouse brain affected by cuprizone treatment. Subsequently, radial diffusivity decreases with the progression of remyelination. Furthermore, radial diffusivity changes were specific to the time course of changes in myelin integrity as distinct from axonal injury, which was detected by betaAPP immunostaining and shown to be most extensive prior to demyelination. Radial diffusivity offers a specific assessment of demyelination and remyelination, as distinct from acute axonal damage.
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              Microstructural maturation of the human brain from childhood to adulthood.

              Brain maturation is a complex process that continues well beyond infancy, and adolescence is thought to be a key period of brain rewiring. To assess structural brain maturation from childhood to adulthood, we charted brain development in subjects aged 5 to 30 years using diffusion tensor magnetic resonance imaging, a novel brain imaging technique that is sensitive to axonal packing and myelination and is particularly adept at virtually extracting white matter connections. Age-related changes were seen in major white matter tracts, deep gray matter, and subcortical white matter, in our large (n=202), age-distributed sample. These diffusion changes followed an exponential pattern of maturation with considerable regional variation. Differences observed in developmental timing suggest a pattern of maturation in which areas with fronto-temporal connections develop more slowly than other regions. These in vivo results expand upon previous postmortem and imaging studies and provide quantitative measures indicative of the progression and magnitude of regional human brain maturation.
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                Author and article information

                Contributors
                Journal
                Front Neurosci
                Front Neurosci
                Front. Neurosci.
                Frontiers in Neuroscience
                Frontiers Media S.A.
                1662-4548
                1662-453X
                19 December 2018
                2018
                : 12
                : 950
                Affiliations
                [1] 1Beckman Institute, University of Illinois at Urbana-Champaign , Urbana, IL, United States
                [2] 2Department of Psychology, University of Pittsburgh , Pittsburgh, PA, United States
                [3] 3Department of Psychology, University of Colorado , Denver, CO, United States
                [4] 4Department of Kinesiology, University of North Carolina at Greensboro , Greensboro, NC, United States
                [5] 5Department of Psychology, Northeastern University , Boston, MA, United States
                [6] 6Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign , Urbana, IL, United States
                [7] 7Department of Kinesiology and Health Education, The University of Texas at Austin , Austin, TX, United States
                [8] 8Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University , Boston, MA, United States
                Author notes

                Edited by: Andrew L. Alexander, University of Wisconsin-Madison, United States

                Reviewed by: Andrea Martinuzzi, Eugenio Medea (IRCCS), Italy; Jodie Reanna Gawryluk, University of Victoria, Canada

                *Correspondence: Laura Chaddock-Heyman lchaddo2@ 123456illinois.edu

                This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2018.00950
                6305717
                30618578
                044217e1-721c-4b9a-8be0-07dd3a62967b
                Copyright © 2018 Chaddock-Heyman, Erickson, Kienzler, Drollette, Raine, Kao, Bensken, Weisshappel, Castelli, Hillman and Kramer.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 31 August 2018
                : 30 November 2018
                Page count
                Figures: 3, Tables: 1, Equations: 0, References: 87, Pages: 11, Words: 8995
                Categories
                Neuroscience
                Original Research

                Neurosciences
                brain deve,children,physical activity,diffusion tensor imaging,white matter
                Neurosciences
                brain deve, children, physical activity, diffusion tensor imaging, white matter

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