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      Myelin densities in retinotopically defined dorsal visual areas of the macaque

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          Abstract

          The visuotopic organization of dorsal visual cortex rostral to area V2 in primates has been a longstanding source of controversy. Using sub-millimeter phase-encoded retinotopic fMRI mapping, we recently provided evidence for a surprisingly similar visuotopic organization in dorsal visual cortex of macaques compared to previously published maps in New world monkeys (Zhu and Vanduffel, Proc Natl Acad Sci USA 116:2306–2311, 2019). Although individual quadrant representations could be robustly delineated in that study, their grouping into hemifield representations remains a major challenge. Here, we combined in-vivo high-resolution myelin density mapping based on MR imaging (400 µm isotropic resolution) with fine-grained retinotopic fMRI to quantitatively compare myelin densities across retinotopically defined visual areas in macaques. Complementing previously documented differences in populational receptive-field (pRF) size and visual field signs, myelin densities of both quadrants of the dorsolateral posterior area (DLP) and area V3A are significantly different compared to dorsal and ventral area V3. Moreover, no differences in myelin density were observed between the two matching quadrants belonging to areas DLP, V3A, V1, V2 and V4, respectively. This was not the case, however, for the dorsal and ventral quadrants of area V3, which showed significant differences in MR-defined myelin densities, corroborating evidence of previous myelin staining studies. Interestingly, the pRF sizes and visual field signs of both quadrant representations in V3 are not different. Although myelin density correlates with curvature and anticorrelates with cortical thickness when measured across the entire cortex, exactly as in humans, the myelin density results in the visual areas cannot be explained by variability in cortical thickness and curvature between these areas. The present myelin density results largely support our previous model to group the two quadrants of DLP and V3A, rather than grouping DLP- with V3v into a single area VLP, or V3d with V3A+ into DM.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00429-021-02363-z.

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          Most cited references65

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          Cortical surface-based analysis. I. Segmentation and surface reconstruction.

          Several properties of the cerebral cortex, including its columnar and laminar organization, as well as the topographic organization of cortical areas, can only be properly understood in the context of the intrinsic two-dimensional structure of the cortical surface. In order to study such cortical properties in humans, it is necessary to obtain an accurate and explicit representation of the cortical surface in individual subjects. Here we describe a set of automated procedures for obtaining accurate reconstructions of the cortical surface, which have been applied to data from more than 100 subjects, requiring little or no manual intervention. Automated routines for unfolding and flattening the cortical surface are described in a companion paper. These procedures allow for the routine use of cortical surface-based analysis and visualization methods in functional brain imaging. Copyright 1999 Academic Press.
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            Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system.

            The surface of the human cerebral cortex is a highly folded sheet with the majority of its surface area buried within folds. As such, it is a difficult domain for computational as well as visualization purposes. We have therefore designed a set of procedures for modifying the representation of the cortical surface to (i) inflate it so that activity buried inside sulci may be visualized, (ii) cut and flatten an entire hemisphere, and (iii) transform a hemisphere into a simple parameterizable surface such as a sphere for the purpose of establishing a surface-based coordinate system. Copyright 1999 Academic Press.
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              Distributed Hierarchical Processing in the Primate Cerebral Cortex

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                Author and article information

                Contributors
                qi.zhu.xy@gmail.com
                wim@nmr.mgh.harvard.edu
                Journal
                Brain Struct Funct
                Brain Struct Funct
                Brain Structure & Function
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1863-2653
                1863-2661
                21 August 2021
                21 August 2021
                2021
                : 226
                : 9
                : 2869-2880
                Affiliations
                [1 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Laboratory for Neuro- and Psychophysiology, Department of Neurosciences, , KU Leuven Medical School, ; 3000 Leuven, Belgium
                [2 ]GRID grid.7429.8, ISNI 0000000121866389, Cognitive Neuroimaging Unit, , INSERM, CEA, Université Paris-Saclay, NeuroSpin Center, ; 91191 Gif/Yvette, France
                [3 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Leuven Brain Institute, KU Leuven, ; 3000 Leuven, Belgium
                [4 ]GRID grid.32224.35, ISNI 0000 0004 0386 9924, Athinoula A. Martinos Center for Biomedical Imaging, , Massachusetts General Hospital, ; Charlestown, MA 02129 USA
                [5 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Radiology, , Harvard Medical School, ; Boston, MA 02144 USA
                Author information
                http://orcid.org/0000-0002-0993-3400
                Article
                2363
                10.1007/s00429-021-02363-z
                8541961
                34417886
                7e12db9f-6f61-45a2-b9fa-2a0ff119e6e8
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 March 2021
                : 9 August 2021
                Funding
                Funded by: CEA PE bottom up 2020
                Award ID: 20P28
                Award Recipient :
                Funded by: KU Leuven (BE)
                Award ID: C14/17/109
                Award Recipient :
                Funded by: Fonds Wetenschappelijk Onderzoek Vlaanderen (FWO-Flanders)
                Award ID: G0C1920N; G0E0520N G0D5817N, G0B8617N
                Award Recipient :
                Funded by: the European Union's Horizon 2020 Framework Programme for Research and Innovation (Human Brain Mapping SGA3)
                Award ID: 945539
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2021

                Neurology
                mri,myelination,non-human primate,visual cortex
                Neurology
                mri, myelination, non-human primate, visual cortex

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