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      Learning to read recycles visual cortical networks without destruction

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          Abstract

          Reading co-opts existing cortical visual feature representation without destruction.

          Abstract

          Learning to read is associated with the appearance of an orthographically sensitive brain region known as the visual word form area. It has been claimed that development of this area proceeds by impinging upon territory otherwise available for the processing of culturally relevant stimuli such as faces and houses. In a large-scale functional magnetic resonance imaging study of a group of individuals of varying degrees of literacy (from completely illiterate to highly literate), we examined cortical responses to orthographic and nonorthographic visual stimuli. We found that literacy enhances responses to other visual input in early visual areas and enhances representational similarity between text and faces, without reducing the extent of response to nonorthographic input. Thus, acquisition of literacy in childhood recycles existing object representation mechanisms but without destructive competition.

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          Most cited references29

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          How learning to read changes the cortical networks for vision and language.

          Does literacy improve brain function? Does it also entail losses? Using functional magnetic resonance imaging, we measured brain responses to spoken and written language, visual faces, houses, tools, and checkers in adults of variable literacy (10 were illiterate, 22 became literate as adults, and 31 were literate in childhood). As literacy enhanced the left fusiform activation evoked by writing, it induced a small competition with faces at this location, but also broadly enhanced visual responses in fusiform and occipital cortex, extending to area V1. Literacy also enhanced phonological activation to speech in the planum temporale and afforded a top-down activation of orthography from spoken inputs. Most changes occurred even when literacy was acquired in adulthood, emphasizing that both childhood and adult education can profoundly refine cortical organization.
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            Cultural recycling of cortical maps.

            Part of human cortex is specialized for cultural domains such as reading and arithmetic, whose invention is too recent to have influenced the evolution of our species. Representations of letter strings and of numbers occupy reproducible locations within large-scale macromaps, respectively in the left occipito-temporal and bilateral intraparietal cortex. Furthermore, recent fMRI studies reveal a systematic architecture within these areas. To explain this paradoxical cerebral invariance of cultural maps, we propose a neuronal recycling hypothesis, according to which cultural inventions invade evolutionarily older brain circuits and inherit many of their structural constraints.
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              A cortical region consisting entirely of face-selective cells.

              Face perception is a skill crucial to primates. In both humans and macaque monkeys, functional magnetic resonance imaging (fMRI) reveals a system of cortical regions that show increased blood flow when the subject views images of faces, compared with images of objects. However, the stimulus selectivity of single neurons within these fMRI-identified regions has not been studied. We used fMRI to identify and target the largest face-selective region in two macaques for single-unit recording. Almost all (97%) of the visually responsive neurons in this region were strongly face selective, indicating that a dedicated cortical area exists to support face processing in the macaque.
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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                September 2019
                18 September 2019
                : 5
                : 9
                : eaax0262
                Affiliations
                [1 ]Neurobiology of Language Department, Max Planck Institute for Psycholinguistics, Wundtlaan 1, 6525 XD Nijmegen, Netherlands.
                [2 ]Neurolinguistics, University of Zürich, Department of Psychology, Binzmühlerstrasse 14, 8050, Zürich, Switzerland.
                [3 ]Centre of Biomedical Research, Raibareli Road, Lucknow, 226014 Uttar Pradesh, India.
                [4 ]University of Hyderabad, Prof. C.R. Rao Road, Gachibowli, Hyderabad 500046, Telangana, India.
                [5 ]Centre for Behavioural and Cognitive Sciences, University of Allahabad, University Road, Old Katra, Prayagraj, 211002 Uttar Pradesh, India.
                [6 ]Department of Psychology, Iswar Saran Degree College, Prayagraj, 211002 Uttar Pradesh, India.
                [7 ]Donders Institute, Radboud University, Montessorilaan 3, 6525 HR Nijmegen, Netherlands.
                [8 ]Psychology of Language Department, Max Planck Institute for Psycholinguistics, Wundtlaan 1, 6525 XD Nijmegen, Netherlands.
                [9 ]Centre for Language Studies, Radboud University, Houtlaan 4, 6525 XZ Nijmegen, Netherlands.
                Author notes
                Author information
                http://orcid.org/0000-0002-5232-626X
                http://orcid.org/0000-0002-4158-2241
                http://orcid.org/0000-0002-5685-8124
                Article
                aax0262
                10.1126/sciadv.aax0262
                6750915
                31555732
                963c0421-9f86-4bde-8d37-68c56c221865
                Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 15 February 2019
                : 19 August 2019
                Funding
                Funded by: doi http://dx.doi.org/10.13039/501100001711, Swiss National Science Foundation;
                Award ID: PP00P1_163726
                Funded by: Max Planck Society Strategic Innovation Grant;
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Neuroscience
                Custom metadata
                Fritzie Benzon

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