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      Neural processing of vision and language in kindergarten is associated with prereading skills and predicts future literacy

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          Abstract

          The main objective of this longitudinal study was to investigate the neural predictors of reading acquisition. For this purpose, we followed a sample of 54 children from the end of kindergarten to the end of second grade. Preliterate children were tested for visual symbol (checkerboards, houses, faces, written words) and auditory language processing (spoken words) using a passive functional magnetic resonance imaging paradigm. To examine brain–behavior relationships, we also tested cognitive–linguistic prereading skills at kindergarten age and reading performance of 48 of the same children 2 years later. Face‐selective response in the bilateral fusiform gyrus was positively associated with rapid automatized naming (RAN). Response to both spoken and written words at preliterate age was negatively associated with RAN in the dorsal temporo‐parietal language system. Longitudinally, neural response to faces in the ventral stream predicted future reading fluency. Here, stronger neural activity in inferior and middle temporal gyri at kindergarten age was associated with higher reading performance. Our results suggest that interindividual differences in the neural system of language and reading affect literacy acquisition and thus might serve as a marker for successful reading acquisition in preliterate children.

          Abstract

          Longitudinal study examining reading acquisition from preliterate kindergarten age to the end of the second year of primary school. We used a passive fMRI paradigm to study the brain–behavior relationships of vision, language and reading.

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          Most cited references122

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          Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.

          An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute (MNI) (D. L. Collins et al., 1998, Trans. Med. Imag. 17, 463-468) was performed. The MNI single-subject main sulci were first delineated and further used as landmarks for the 3D definition of 45 anatomical volumes of interest (AVOI) in each hemisphere. This procedure was performed using a dedicated software which allowed a 3D following of the sulci course on the edited brain. Regions of interest were then drawn manually with the same software every 2 mm on the axial slices of the high-resolution MNI single subject. The 90 AVOI were reconstructed and assigned a label. Using this parcellation method, three procedures to perform the automated anatomical labeling of functional studies are proposed: (1) labeling of an extremum defined by a set of coordinates, (2) percentage of voxels belonging to each of the AVOI intersected by a sphere centered by a set of coordinates, and (3) percentage of voxels belonging to each of the AVOI intersected by an activated cluster. An interface with the Statistical Parametric Mapping package (SPM, J. Ashburner and K. J. Friston, 1999, Hum. Brain Mapp. 7, 254-266) is provided as a freeware to researchers of the neuroimaging community. We believe that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain in which deformations are well known. However, this tool does not alleviate the need for more sophisticated labeling strategies based on anatomical or cytoarchitectonic probabilistic maps.
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            A fast diffeomorphic image registration algorithm.

            This paper describes DARTEL, which is an algorithm for diffeomorphic image registration. It is implemented for both 2D and 3D image registration and has been formulated to include an option for estimating inverse consistent deformations. Nonlinear registration is considered as a local optimisation problem, which is solved using a Levenberg-Marquardt strategy. The necessary matrix solutions are obtained in reasonable time using a multigrid method. A constant Eulerian velocity framework is used, which allows a rapid scaling and squaring method to be used in the computations. DARTEL has been applied to intersubject registration of 471 whole brain images, and the resulting deformations were evaluated in terms of how well they encode the shape information necessary to separate male and female subjects and to predict the ages of the subjects.
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              The cortical organization of speech processing.

              Despite decades of research, the functional neuroanatomy of speech processing has been difficult to characterize. A major impediment to progress may have been the failure to consider task effects when mapping speech-related processing systems. We outline a dual-stream model of speech processing that remedies this situation. In this model, a ventral stream processes speech signals for comprehension, and a dorsal stream maps acoustic speech signals to frontal lobe articulatory networks. The model assumes that the ventral stream is largely bilaterally organized--although there are important computational differences between the left- and right-hemisphere systems--and that the dorsal stream is strongly left-hemisphere dominant.
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                Author and article information

                Contributors
                johanna.liebig@fu-berlin.de
                Journal
                Hum Brain Mapp
                Hum Brain Mapp
                10.1002/(ISSN)1097-0193
                HBM
                Human Brain Mapping
                John Wiley & Sons, Inc. (Hoboken, USA )
                1065-9471
                1097-0193
                04 May 2021
                1 August 2021
                : 42
                : 11 ( doiID: 10.1002/hbm.v42.11 )
                : 3517-3533
                Affiliations
                [ 1 ] Department of Education and Psychology Freie Universität Berlin Berlin Germany
                [ 2 ] Center for Cognitive Neuroscience Berlin Freie Universität Berlin Berlin Germany
                [ 3 ] Centre for Cognitive Neuroscience Universität Salzburg Salzburg Austria
                [ 4 ] Deparment of Biological Psychology and Cognitive Neuroscience Freie Universität Berlin Berlin Germany
                [ 5 ] Aix‐Marseille Université and Centre National de la Recherche Scientifique, Laboratoire de Psychologie Cognitive Marseille France
                [ 6 ]Present address: Department of Decision Neuroscience and Nutrition German Institute of Human Nutrition Potsdam‐Rehbrücke Nuthetal Germany
                Author notes
                [*] [* ] Correspondence

                Johanna Liebig, Freie Universität Berlin, Allgemeine und Neurokognitive Psychologie, Habelschwerdter Allee 45, D‐14195 Berlin, Germany.

                Email: johanna.liebig@ 123456fu-berlin.de

                Author information
                https://orcid.org/0000-0002-9530-6584
                https://orcid.org/0000-0002-3194-3592
                Article
                HBM25449
                10.1002/hbm.25449
                8249894
                33942958
                56f23fc5-2d31-48f2-b8f5-442f0dce096d
                © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 March 2021
                : 20 November 2020
                : 06 April 2021
                Page count
                Figures: 4, Tables: 3, Pages: 17, Words: 15959
                Funding
                Funded by: FKZ
                Award ID: 01GJ1404
                Award ID: 01GJ1010A
                Funded by: Bundesministerium für Bildung und Forschung , open-funder-registry 10.13039/501100002347;
                Funded by: German Federal Ministry of Education and Research
                Funded by: Institute of Language, Communication and the Brain
                Award ID: ANR‐16‐CONV‐0002
                Funded by: Alexander‐von‐Humboldt Stiftung
                Funded by: Freie Universität Berlin , open-funder-registry 10.13039/501100007537;
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                August 1, 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:02.07.2021

                Neurology
                child,fmri,longitudinal,reading
                Neurology
                child, fmri, longitudinal, reading

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