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      Early Left-Planum Temporale Asymmetry in newborn monkeys ( Papio anubis): A longitudinal structural MRI study at two stages of development

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          Highlights

          • Newborn baboons present a leftward Planum Temporale Asymmetry.

          • The proportion is similar to human newborns and adults.

          • As in human infants, the asymmetry strength increases across development.

          • These findings question early Planum Temporale Asymmetry as a human-specific marker for the prewired language-ready brain.

          Abstract

          The “language-ready” brain theory suggests that the infant brain is pre-wired for language acquisition prior to language exposure. As a potential brain marker of such a language readiness, a leftward structural brain asymmetry was found in human infants for the Planum Temporale ( PT), which overlaps with Wernicke's area. In the present longitudinal in vivo MRI study conducted in 35 newborn monkeys ( Papio anubis), we found a similar leftward PT surface asymmetry. Follow-up rescanning sessions on 29 juvenile baboons at 7-10 months showed that such an asymmetry increases across the two ages classes. These original findings in non-linguistic primate infants strongly question the idea that the early PT asymmetry constitutes a human infant-specific marker for language development. Such a shared early perisylvian organization provides additional support that PT asymmetry might be related to a lateralized system inherited from our last common ancestor with Old-World monkeys at least 25–35 million years ago.

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          Most cited references37

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          Meta-analyzing left hemisphere language areas: phonology, semantics, and sentence processing.

          The advent of functional neuroimaging has allowed tremendous advances in our understanding of brain-language relationships, in addition to generating substantial empirical data on this subject in the form of thousands of activation peak coordinates reported in a decade of language studies. We performed a large-scale meta-analysis of this literature, aimed at defining the composition of the phonological, semantic, and sentence processing networks in the frontal, temporal, and inferior parietal regions of the left cerebral hemisphere. For each of these language components, activation peaks issued from relevant component-specific contrasts were submitted to a spatial clustering algorithm, which gathered activation peaks on the basis of their relative distance in the MNI space. From a sample of 730 activation peaks extracted from 129 scientific reports selected among 260, we isolated 30 activation clusters, defining the functional fields constituting three distributed networks of frontal and temporal areas and revealing the functional organization of the left hemisphere for language. The functional role of each activation cluster is discussed based on the nature of the tasks in which it was involved. This meta-analysis sheds light on several contemporary issues, notably on the fine-scale functional architecture of the inferior frontal gyrus for phonological and semantic processing, the evidence for an elementary audio-motor loop involved in both comprehension and production of syllables including the primary auditory areas and the motor mouth area, evidence of areas of overlap between phonological and semantic processing, in particular at the location of the selective human voice area that was the seat of partial overlap of the three language components, the evidence of a cortical area in the pars opercularis of the inferior frontal gyrus dedicated to syntactic processing and in the posterior part of the superior temporal gyrus a region selectively activated by sentence and text processing, and the hypothesis that different working memory perception-actions loops are identifiable for the different language components. These results argue for large-scale architecture networks rather than modular organization of language in the left hemisphere.
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            Adaptive non-local means denoising of MR images with spatially varying noise levels.

            To adapt the so-called nonlocal means filter to deal with magnetic resonance (MR) images with spatially varying noise levels (for both Gaussian and Rician distributed noise). Most filtering techniques assume an equal noise distribution across the image. When this assumption is not met, the resulting filtering becomes suboptimal. This is the case of MR images with spatially varying noise levels, such as those obtained by parallel imaging (sensitivity-encoded), intensity inhomogeneity-corrected images, or surface coil-based acquisitions. We propose a new method where information regarding the local image noise level is used to adjust the amount of denoising strength of the filter. Such information is automatically obtained from the images using a new local noise estimation method. The proposed method was validated and compared with the standard nonlocal means filter on simulated and real MRI data showing an improved performance in all cases. The new noise-adaptive method was demonstrated to outperform the standard filter when spatially varying noise is present in the images. (c) 2009 Wiley-Liss, Inc.
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              Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE).

              A new three-dimensional imaging technique which is applicable for 3D MR imaging throughout the body is introduced. In our preliminary investigations we have acquired high-quality 3D image sets of the abdomen showing minimal respiratory artifacts in just over 7 min (voxel size 2.7 X 2.7 X 2.7 mm3), and 3D image sets of the head showing excellent gray/white contrast in less than 6 min (voxel size 1.0 X 2.0 X 1.4 mm3).
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                Author and article information

                Contributors
                Journal
                Neuroimage
                Neuroimage
                Neuroimage
                Academic Press
                1053-8119
                1095-9572
                15 February 2021
                15 February 2021
                : 227
                : 117575
                Affiliations
                [a ]Laboratoire de Psychologie Cognitive, UMR 7290, Université Aix-Marseille / CNRS, 13331 Marseille, France
                [b ]Institut des Neurosciences de la Timone, UMR 7289, Université Aix-Marseille / CNRS, 13005 Marseille, France
                [c ]Station de Primatologie, CNRS, UPS846, 13790 Rousset, France
                Author notes
                [* ]Corresponding author at: Laboratoire de Psychologie Cognitive, UMR 7290, Université Aix-Marseille / CNRS, 13331 Marseille, France. adrien.meguerditchian@ 123456univ-amu.fr
                Article
                S1053-8119(20)31060-0 117575
                10.1016/j.neuroimage.2020.117575
                7896037
                33285330
                c3b66ac8-274a-4a7a-bd28-fd530c8af2cd
                © 2020 The Author(s)

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

                History
                : 27 July 2020
                : 8 October 2020
                : 16 November 2020
                Categories
                Article

                Neurosciences
                hemispheric specialization,lateralization,language evolution,development,mri,baboon,pt, planum temporale

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