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      The visual word form area (VWFA) is part of both language and attention circuitry

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          Abstract

          While predominant models of visual word form area (VWFA) function argue for its specific role in decoding written language, other accounts propose a more general role of VWFA in complex visual processing. However, a comprehensive examination of structural and functional VWFA circuits and their relationship to behavior has been missing. Here, using high-resolution multimodal imaging data from a large Human Connectome Project cohort ( N = 313), we demonstrate robust patterns of VWFA connectivity with both canonical language and attentional networks. Brain-behavior relationships revealed a striking pattern of double dissociation: structural connectivity of VWFA with lateral temporal language network predicted language, but not visuo-spatial attention abilities, while VWFA connectivity with dorsal fronto-parietal attention network predicted visuo-spatial attention, but not language abilities. Our findings support a multiplex model of VWFA function characterized by distinct circuits for integrating language and attention, and point to connectivity-constrained cognition as a key principle of human brain organization.

          Abstract

          The visual word form area (VWFA) is a brain region associated with written language, but it has also been linked to visuospatial attention. Here, the authors reveal distinct structural and functional circuits linking VWFA with language and attention networks, and demonstrate that these circuits separately predict language and attention abilities.

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          The unique role of the visual word form area in reading.

          Reading systematically activates the left lateral occipitotemporal sulcus, at a site known as the visual word form area (VWFA). This site is reproducible across individuals/scripts, attuned to reading-specific processes, and partially selective for written strings relative to other categories such as line drawings. Lesions affecting the VWFA cause pure alexia, a selective deficit in word recognition. These findings must be reconciled with the fact that human genome evolution cannot have been influenced by such a recent and culturally variable activity as reading. Capitalizing on recent functional magnetic resonance imaging experiments, we provide strong corroborating evidence for the hypothesis that reading acquisition partially recycles a cortical territory evolved for object and face recognition, the prior properties of which influenced the form of writing systems. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            The visual word form area: expertise for reading in the fusiform gyrus.

            Brain imaging studies reliably localize a region of visual cortex that is especially responsive to visual words. This brain specialization is essential to rapid reading ability because it enhances perception of words by becoming specifically tuned to recurring properties of a writing system. The origin of this specialization poses a challenge for evolutionary accounts involving innate mechanisms for functional brain organization. We propose an alternative account, based on studies of other forms of visual expertise (i.e. bird and car experts) that lead to functional reorganization. We argue that the interplay between the unique demands of word reading and the structural constraints of the visual system lead to the emergence of the Visual Word Form Area.
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              A Brain-Wide Study of Age-Related Changes in Functional Connectivity.

              Aging affects functional connectivity between brain areas, however, a complete picture of how aging affects integration of information within and between functional networks is missing. We used complex network measures, derived from a brain-wide graph, to provide a comprehensive overview of age-related changes in functional connectivity. Functional connectivity in young and older participants was assessed during resting-state fMRI. The results show that aging has a large impact, not only on connectivity within functional networks but also on connectivity between the different functional networks in the brain. Brain networks in the elderly showed decreased modularity (less distinct functional networks) and decreased local efficiency. Connectivity decreased with age within networks supporting higher level cognitive functions, that is, within the default mode, cingulo-opercular and fronto-parietal control networks. Conversely, no changes in connectivity within the somatomotor and visual networks, networks implicated in primary information processing, were observed. Connectivity between these networks even increased with age. A brain-wide analysis approach of functional connectivity in the aging brain thus seems fundamental in understanding how age affects integration of information. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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                Author and article information

                Contributors
                lchen32@stanford.edu
                menon@stanford.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                6 December 2019
                6 December 2019
                2019
                : 10
                : 5601
                Affiliations
                [1 ]ISNI 0000000419368956, GRID grid.168010.e, Department of Psychiatry and Behavioral Sciences, , Stanford University, ; Stanford, CA 94394 USA
                [2 ]ISNI 0000 0001 2299 4243, GRID grid.263156.5, Department of Psychology, , Santa Clara University, ; Santa Clara, CA 95053 USA
                [3 ]ISNI 0000 0001 2299 4243, GRID grid.263156.5, Neuroscience Program, , Santa Clara University, ; Santa Clara, CA 95053 USA
                [4 ]GRID grid.457355.5, Parietal, Inria Saclay Île-de-France, CEA, Université Paris-Sud, ; 1 Rue Honoré d’Estienne d’Orves, 91120 Palaiseau, France
                [5 ]Athena Project Team, INRIA Sophia Antipolis-Méditerranée, 06902 Sophia Antipolis CEDEX, France
                [6 ]ISNI 0000000419368956, GRID grid.168010.e, Department of Neurology and Neurological Sciences, , Stanford University, ; Stanford, CA 94394 USA
                [7 ]ISNI 0000000419368956, GRID grid.168010.e, Stanford Neuroscience Institute, , Stanford University, ; Stanford, CA 94394 USA
                Author information
                http://orcid.org/0000-0002-2118-5601
                http://orcid.org/0000-0001-5194-6056
                Article
                13634
                10.1038/s41467-019-13634-z
                6898452
                31811149
                810a56fb-f7b8-49c8-b06a-cda49a7dd188
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 16 February 2019
                : 4 November 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: TR001085
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: 757672
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100009633, U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD);
                Award ID: HD094623
                Award ID: HD059205
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
                Funded by: FundRef https://doi.org/10.13039/100000025, U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH);
                Award ID: MH084164
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                cognitive control,language,brain,human behaviour
                Uncategorized
                cognitive control, language, brain, human behaviour

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