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      Neural Anatomy of Primary Visual Cortex Limits Visual Working Memory.

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          Abstract

          Despite the immense processing power of the human brain, working memory storage is severely limited, and the neuroanatomical basis of these limitations has remained elusive. Here, we show that the stable storage limits of visual working memory for over 9 s are bound by the precise gray matter volume of primary visual cortex (V1), defined by fMRI retinotopic mapping. Individuals with a bigger V1 tended to have greater visual working memory storage. This relationship was present independently for both surface size and thickness of V1 but absent in V2, V3 and for non-visual working memory measures. Additional whole-brain analyses confirmed the specificity of the relationship to V1. Our findings indicate that the size of primary visual cortex plays a critical role in limiting what we can hold in mind, acting like a gatekeeper in constraining the richness of working mental function.

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          Most cited references34

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          Cellular basis of working memory

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            Specification of cerebral cortical areas.

            P Rakic (1988)
            How the immense population of neurons that constitute the human cerebral neocortex is generated from progenitors lining the cerebral ventricle and then distributed to appropriate layers of distinctive cytoarchitectonic areas can be explained by the radial unit hypothesis. According to this hypothesis, the ependymal layer of the embryonic cerebral ventricle consists of proliferative units that provide a proto-map of prospective cytoarchitectonic areas. The output of the proliferative units is translated via glial guides to the expanding cortex in the form of ontogenetic columns, whose final number for each area can be modified through interaction with afferent input. Data obtained through various advanced neurobiological techniques, including electron microscopy, immunocytochemistry, [3H]thymidine and receptor autoradiography, retrovirus gene transfer, neural transplants, and surgical or genetic manipulation of cortical development, furnish new details about the kinetics of cell proliferation, their lineage relationships, and phenotypic expression that favor this hypothesis. The radial unit model provides a framework for understanding cerebral evolution, epigenetic regulation of the parcellation of cytoarchitectonic areas, and insight into the pathogenesis of certain cortical disorders in humans.
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              Distinct genetic influences on cortical surface area and cortical thickness.

              Neuroimaging studies examining the effects of aging and neuropsychiatric disorders on the cerebral cortex have largely been based on measures of cortical volume. Given that cortical volume is a product of thickness and surface area, it is plausible that measures of volume capture at least 2 distinct sets of genetic influences. The present study aims to examine the genetic relationships between measures of cortical surface area and thickness. Participants were men in the Vietnam Era Twin Study of Aging (110 monozygotic pairs and 92 dizygotic pairs). Mean age was 55.8 years (range: 51-59). Bivariate twin analyses were utilized in order to estimate the heritability of cortical surface area and thickness, as well as their degree of genetic overlap. Total cortical surface area and average cortical thickness were both highly heritable (0.89 and 0.81, respectively) but were essentially unrelated genetically (genetic correlation = 0.08). This pattern was similar at the lobar and regional levels of analysis. These results demonstrate that cortical volume measures combine at least 2 distinct sources of genetic influences. We conclude that using volume in a genetically informative study, or as an endophenotype for a disorder, may confound the underlying genetic architecture of brain structure.
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                Author and article information

                Journal
                Cereb. Cortex
                Cerebral cortex (New York, N.Y. : 1991)
                1460-2199
                1047-3211
                Jan 2016
                : 26
                : 1
                Affiliations
                [1 ] School of Psychology, University of New South Wales, 2052 Sydney, Australia Department of Neurophysiology, Max-Planck-Institute for Brain Research, 60528 Frankfurt am Main, Germany Brain Imaging Center Frankfurt, 60528 Frankfurt am Main, Germany.
                [2 ] Department of Neurophysiology, Max-Planck-Institute for Brain Research, 60528 Frankfurt am Main, Germany Brain Imaging Center Frankfurt, 60528 Frankfurt am Main, Germany Institute of Psychology, Biopsychology, Ruhr-University Bochum, 44780 Bochum, Germany.
                [3 ] Department of Neurophysiology, Max-Planck-Institute for Brain Research, 60528 Frankfurt am Main, Germany Brain Imaging Center Frankfurt, 60528 Frankfurt am Main, Germany Institute of Cognitive Science, University of Osnabrück, 49076 Osnabrück, Germany.
                [4 ] Department of Neurophysiology, Max-Planck-Institute for Brain Research, 60528 Frankfurt am Main, Germany Brain Imaging Center Frankfurt, 60528 Frankfurt am Main, Germany Frankfurt Institute for Advanced Studies, Goethe University, 60438 Frankfurt am Main, Germany Ernst Strüngmann Institute in Cooperation with Max Planck Society, 60528 Frankfurt am Main, Germany.
                [5 ] School of Psychology, University of New South Wales, 2052 Sydney, Australia.
                Article
                bhu168
                10.1093/cercor/bhu168
                25100854
                a6cb3680-bce3-4eba-bb68-9cafb953dce0
                © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
                History

                cortical thickness,early visual cortex,gray matter surface size,individual differences,visual working memory

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