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      The Impact of Early Deafness on Brain Plasticity: A Systematic Review of the White and Gray Matter Changes

      systematic-review

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          Abstract

          Background: Auditory deprivation alters cortical and subcortical brain regions, primarily linked to auditory and language processing, resulting in behavioral consequences. Neuroimaging studies have reported various degrees of structural changes, yet multiple variables in deafness profiles need to be considered for proper interpretation of results. To date, many inconsistencies are reported in the gray and white matter alterations following early profound deafness. The purpose of this study was to provide the first systematic review synthesizing gray and white matter changes in deaf individuals.

          Methods: We conducted a systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement in 27 studies comprising 626 deaf individuals.

          Results: Evidence shows that auditory deprivation significantly alters the white matter across the primary and secondary auditory cortices. The most consistent alteration across studies was in the bilateral superior temporal gyri. Furthermore, reductions in the fractional anisotropy of white matter fibers comprising in inferior fronto-occipital fasciculus, the superior longitudinal fasciculus, and the subcortical auditory pathway are reported. The reviewed studies also suggest that gray and white matter integrity is sensitive to early sign language acquisition, attenuating the effect of auditory deprivation on neurocognitive development.

          Conclusions: These findings suggest that understanding cortical reorganization through gray and white matter changes in auditory and non-auditory areas is an important factor in the development of auditory rehabilitation strategies in the deaf population.

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          Most cited references69

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          Small-world anatomical networks in the human brain revealed by cortical thickness from MRI.

          An important issue in neuroscience is the characterization for the underlying architectures of complex brain networks. However, little is known about the network of anatomical connections in the human brain. Here, we investigated large-scale anatomical connection patterns of the human cerebral cortex using cortical thickness measurements from magnetic resonance images. Two areas were considered anatomically connected if they showed statistically significant correlations in cortical thickness and we constructed the network of such connections using 124 brains from the International Consortium for Brain Mapping database. Significant short- and long-range connections were found in both intra- and interhemispheric regions, many of which were consistent with known neuroanatomical pathways measured by human diffusion imaging. More importantly, we showed that the human brain anatomical network had robust small-world properties with cohesive neighborhoods and short mean distances between regions that were insensitive to the selection of correlation thresholds. Additionally, we also found that this network and the probability of finding a connection between 2 regions for a given anatomical distance had both exponentially truncated power-law distributions. Our results demonstrated the basic organizational principles for the anatomical network in the human brain compatible with previous functional networks studies, which provides important implications of how functional brain states originate from their structural underpinnings. To our knowledge, this study provides the first report of small-world properties and degree distribution of anatomical networks in the human brain using cortical thickness measurements.
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            Principles of diffusion tensor imaging and its applications to basic neuroscience research.

            The brain contains more than 100 billion neurons that communicate with each other via axons for the formation of complex neural networks. The structural mapping of such networks during health and disease states is essential for understanding brain function. However, our understanding of brain structural connectivity is surprisingly limited, due in part to the lack of noninvasive methodologies to study axonal anatomy. Diffusion tensor imaging (DTI) is a recently developed MRI technique that can measure macroscopic axonal organization in nervous system tissues. In this article, the principles of DTI methodologies are explained, and several applications introduced, including visualization of axonal tracts in myelin and axonal injuries as well as human brain and mouse embryonic development. The strengths and limitations of DTI and key areas for future research and development are also discussed.
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              Imaging structural and functional brain development in early childhood

              In humans, the period from term birth to ~2 years of age is characterized by rapid and dynamic brain development and plays an important role in cognitive development and risk for disorders such as autism and schizophrenia. Recent imaging studies have begun to delineate the growth trajectories of brain structure and function in the first years after birth and their relationship to cognition and risk for neuropsychiatric disorders. This Review discusses the development of grey and white matter, structural and functional networks, as well as genetic and environmental influences on early childhood brain development. We also discuss initial evidence regarding the usefulness of early imaging biomarkers for predicting cognitive outcomes and risk for neuropsychiatric disorders.
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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
                30 March 2020
                2020
                : 14
                : 206
                Affiliations
                [1] 1Département de Psychologie, Centre de Recherche en Neuropsychologie et Cognition, Université de Montréal , Montreal, QC, Canada
                [2] 2École d'Orthophonie et d'Audiologie, Université de Montréal , Montreal, QC, Canada
                Author notes

                Edited by: Etienne De Villers-Sidani, McGill University, Canada

                Reviewed by: Andrej Kral, Hannover Medical School, Germany; Josef Syka, Institute of Experimental Medicine (ASCR), Czechia

                *Correspondence: Marie Simon marie.simon@ 123456umontreal.ca

                This article was submitted to Auditory Cognitive Neuroscience, a section of the journal Frontiers in Neuroscience

                Article
                10.3389/fnins.2020.00206
                7135892
                32292323
                bd19ca91-2751-4808-8cd9-932760b77d4b
                Copyright © 2020 Simon, Campbell, Genest, MacLean, Champoux and Lepore.

                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
                : 11 October 2019
                : 25 February 2020
                Page count
                Figures: 2, Tables: 1, Equations: 0, References: 88, Pages: 15, Words: 11685
                Funding
                Funded by: Canadian Institutes of Health Research 10.13039/501100000024
                Categories
                Neuroscience
                Systematic Review

                Neurosciences
                deafness,brain development,neuroplasticity,neuroimaging,language acquisition
                Neurosciences
                deafness, brain development, neuroplasticity, neuroimaging, language acquisition

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