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      The natural axis of transmitter receptor distribution in the human cerebral cortex

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          Significance

          Communication between cells in the brain relies on different types of transmitter receptors. Can we uncover organizational principles that harness the diversity of such signatures across the brain? We focus on the human cerebral cortex and demonstrate that the distribution of receptors forms a natural axis that stretches from association to sensory areas. Moreover, traversing this axis entails changes in the diversity, excitability, and mirrored density that reflect a basic division in receptor types, that is, ionotropic and metabotropic receptors. The unraveled principles offer explanatory depth for diverse phenomena and entail concrete, testable predictions.

          Abstract

          Transmitter receptors constitute a key component of the molecular machinery for intercellular communication in the brain. Recent efforts have mapped the density of diverse transmitter receptors across the human cerebral cortex with an unprecedented level of detail. Here, we distill these observations into key organizational principles. We demonstrate that receptor densities form a natural axis in the human cerebral cortex, reflecting decreases in differentiation at the level of laminar organization and a sensory-to-association axis at the functional level. Along this natural axis, key organizational principles are discerned: progressive molecular diversity (increase of the diversity of receptor density); excitation/inhibition (increase of the ratio of excitatory-to-inhibitory receptor density); and mirrored, orderly changes of the density of ionotropic and metabotropic receptors. The uncovered natural axis formed by the distribution of receptors aligns with the axis that is formed by other dimensions of cortical organization, such as the myelo- and cytoarchitectonic levels. Therefore, the uncovered natural axis constitutes a unifying organizational feature linking multiple dimensions of the cerebral cortex, thus bringing order to the heterogeneity of cortical organization.

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          Situating the default-mode network along a principal gradient of macroscale cortical organization.

          Understanding how the structure of cognition arises from the topographical organization of the cortex is a primary goal in neuroscience. Previous work has described local functional gradients extending from perceptual and motor regions to cortical areas representing more abstract functions, but an overarching framework for the association between structure and function is still lacking. Here, we show that the principal gradient revealed by the decomposition of connectivity data in humans and the macaque monkey is anchored by, at one end, regions serving primary sensory/motor functions and at the other end, transmodal regions that, in humans, are known as the default-mode network (DMN). These DMN regions exhibit the greatest geodesic distance along the cortical surface-and are precisely equidistant-from primary sensory/motor morphological landmarks. The principal gradient also provides an organizing spatial framework for multiple large-scale networks and characterizes a spectrum from unimodal to heteromodal activity in a functional metaanalysis. Together, these observations provide a characterization of the topographical organization of cortex and indicate that the role of the DMN in cognition might arise from its position at one extreme of a hierarchy, allowing it to process transmodal information that is unrelated to immediate sensory input.
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            Experimental and theoretical approaches to conscious processing.

            Recent experimental studies and theoretical models have begun to address the challenge of establishing a causal link between subjective conscious experience and measurable neuronal activity. The present review focuses on the well-delimited issue of how an external or internal piece of information goes beyond nonconscious processing and gains access to conscious processing, a transition characterized by the existence of a reportable subjective experience. Converging neuroimaging and neurophysiological data, acquired during minimal experimental contrasts between conscious and nonconscious processing, point to objective neural measures of conscious access: late amplification of relevant sensory activity, long-distance cortico-cortical synchronization at beta and gamma frequencies, and "ignition" of a large-scale prefronto-parietal network. We compare these findings to current theoretical models of conscious processing, including the Global Neuronal Workspace (GNW) model according to which conscious access occurs when incoming information is made globally available to multiple brain systems through a network of neurons with long-range axons densely distributed in prefrontal, parieto-temporal, and cingulate cortices. The clinical implications of these results for general anesthesia, coma, vegetative state, and schizophrenia are discussed. Copyright © 2011 Elsevier Inc. All rights reserved.
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              Large-Scale Gradients in Human Cortical Organization

              Recent advances in mapping cortical areas in the human brain provide a basis for investigating the significance of their spatial arrangement. Here we describe a dominant gradient in cortical features that spans between sensorimotor and transmodal areas. We propose that this gradient constitutes a core organizing axis of the human cerebral cortex, and describe an intrinsic coordinate system on its basis. Studying the cortex with respect to these intrinsic dimensions can inform our understanding of how the spectrum of cortical function emerges from structural constraints.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                19 January 2021
                15 January 2021
                15 January 2021
                : 118
                : 3
                : e2020574118
                Affiliations
                [1] aInstitute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany;
                [2] bCommunications Cellulaires, Collège de France, 75005 Paris, France;
                [3] cCNRS UMR 3571, Institut Pasteur, 75724 Paris, France;
                [4] dMcGill Centre for Integrative Neuroscience, Montréal Neurological Institute, Montréal, Canada QC H3A 2B4;
                [5] eDepartment of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, United Kingdom;
                [6] fWellcome Trust Centre for Neuroimaging, University College London, London WC1N 3AR, United Kingdom;
                [7] gInstitute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425 Jülich, Germany;
                [8] hC. and O. Vogt Institute for Brain Research, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany;
                [9] iDepartment of Psychiatry, Psychotherapy, and Psychosomatics, Medical Faculty, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen, 52074 Aachen, Germany;
                [10] jJülich Aachen Research Alliance (JARA)-Translational Brain Medicine, Aachen, Germany;
                [11] kDepartment of Health Sciences, Boston University, Boston, MA 02215
                Author notes
                1To whom correspondence may be addressed. Email: a.goulas@ 123456uke.de or changeux@ 123456noos.fr .

                Contributed by Jean-Pierre Changeux, December 9, 2020 (sent for review October 1, 2020; reviewed by Javier DeFelipe, Moritz Helmstaedter, and Basilis (Vasileios) Zikopoulos)

                Author contributions: A.G. designed research; A.G., J.-P.C., K.W., K.A., N.P.-G., and C.C.H. performed research; N.P.-G. contributed new reagents/analytic tools; A.G. analyzed data; A.G. wrote the paper; J.-P.C. contributed to the conception of the core theme of the study; and J.-P.C., K.W., K.A., N.P.-G., and C.C.H. provided detailed feedback and suggestions on the draft version of the paper.

                Reviewers: J.D., Instituto Cajal (CSIC) and Universidad Politécnica de Madrid; M.H., Max Planck Institute for Brain Research; and B.Z., Boston University School of Medicine, Program in Neuroscience, Boston University.

                Author information
                http://orcid.org/0000-0003-0297-1583
                http://orcid.org/0000-0001-5828-0867
                http://orcid.org/0000-0003-2129-8910
                Article
                202020574
                10.1073/pnas.2020574118
                7826352
                33452137
                a75a3c32-9703-428d-8d58-3d08798204f5
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 9
                Categories
                Biological Sciences
                Neuroscience

                cortical organization,unifying principles,molecular diversity

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