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      Imaging evolution of the primate brain: the next frontier?

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          Abstract

          Evolution, as we currently understand it, strikes a delicate balance between animals’ ancestral history and adaptations to their current niche. Similarities between species are generally considered inherited from a common ancestor whereas observed differences are considered as more recent evolution. Hence comparing species can provide insights into the evolutionary history. Comparative neuroimaging has recently emerged as a novel subdiscipline, which uses magnetic resonance imaging (MRI) to identify similarities and differences in brain structure and function across species. Whereas invasive histological and molecular techniques are superior in spatial resolution, they are laborious, post-mortem, and oftentimes limited to specific species. Neuroimaging, by comparison, has the advantages of being applicable across species and allows for fast, whole-brain, repeatable, and multi-modal measurements of the structure and function in living brains and post-mortem tissue. In this review, we summarise the current state of the art in comparative anatomy and function of the brain and gather together the main scientific questions to be explored in the future of the fascinating new field of brain evolution derived from comparative neuroimaging.

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          Most cited references172

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          Double-slit photoelectron interference in strong-field ionization of the neon dimer

          Wave-particle duality is an inherent peculiarity of the quantum world. The double-slit experiment has been frequently used for understanding different aspects of this fundamental concept. The occurrence of interference rests on the lack of which-way information and on the absence of decoherence mechanisms, which could scramble the wave fronts. Here, we report on the observation of two-center interference in the molecular-frame photoelectron momentum distribution upon ionization of the neon dimer by a strong laser field. Postselection of ions, which are measured in coincidence with electrons, allows choosing the symmetry of the residual ion, leading to observation of both, gerade and ungerade, types of interference.
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            Rich-club organization of the human connectome.

            The human brain is a complex network of interlinked regions. Recent studies have demonstrated the existence of a number of highly connected and highly central neocortical hub regions, regions that play a key role in global information integration between different parts of the network. The potential functional importance of these "brain hubs" is underscored by recent studies showing that disturbances of their structural and functional connectivity profile are linked to neuropathology. This study aims to map out both the subcortical and neocortical hubs of the brain and examine their mutual relationship, particularly their structural linkages. Here, we demonstrate that brain hubs form a so-called "rich club," characterized by a tendency for high-degree nodes to be more densely connected among themselves than nodes of a lower degree, providing important information on the higher-level topology of the brain network. Whole-brain structural networks of 21 subjects were reconstructed using diffusion tensor imaging data. Examining the connectivity profile of these networks revealed a group of 12 strongly interconnected bihemispheric hub regions, comprising the precuneus, superior frontal and superior parietal cortex, as well as the subcortical hippocampus, putamen, and thalamus. Importantly, these hub regions were found to be more densely interconnected than would be expected based solely on their degree, together forming a rich club. We discuss the potential functional implications of the rich-club organization of the human connectome, particularly in light of its role in information integration and in conferring robustness to its structural core.
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              Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging.

              The majority of functional neuroscience studies have focused on the brain's response to a task or stimulus. However, the brain is very active even in the absence of explicit input or output. In this Article we review recent studies examining spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal of functional magnetic resonance imaging as a potentially important and revealing manifestation of spontaneous neuronal activity. Although several challenges remain, these studies have provided insight into the intrinsic functional architecture of the brain, variability in behaviour and potential physiological correlates of neurological and psychiatric disease.
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                Author and article information

                Journal
                9215515
                Neuroimage
                Neuroimage
                NeuroImage
                1053-8119
                1095-9572
                07 January 2021
                05 January 2021
                05 January 2021
                13 January 2021
                : 228
                : 117685
                Affiliations
                [a ]Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France
                [b ]Groupe d’Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France
                [c ]Centre for Neuroimaging Sciences, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
                [d ]Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Germany
                [e ]Institute of Neuroscience and Medicine (Brain & Behaviour, INM-7), Research Center Jülich, Germany
                [f ]Frontlab, Institut du Cerveau et de la Moelle épinière (ICM), UPMC UMRS 1127, Inserm U 1127, CNRS UMR 7225, Paris, France
                [g ]Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
                [h ]Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands
                [i ]Department of Psychology, Royal Holloway University of London, United Kingdom
                [j ]Department of Psychology, Georgia State University, Atlanta, United States
                [k ]Child Mind Institute, New York, United States
                [l ]Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
                [m ]Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg University, Hamburg, Germany
                [n ]Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States
                [o ]Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute, U1208 Bron, France
                [p ]Institut de Neurosciences de la Timone, Aix Marseille Univ, CNRS, UMR 7289, Marseille, France
                [q ]Institute for Language, Communication, and the Brain, Aix-Marseille University, Marseille, France
                [r ]Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
                [s ]Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
                [t ]CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
                [u ]The Queensland Brain Institute, University of Queensland, Brisbane QLD 4072, Australia
                [v ]Lyon Neuroscience Research Center, ImpAct Team, INSERM U1028, CNRS UMR5292, Université Lyon 1, Bron, France
                [w ]Center for Research and Interdisciplinarity (CRI), Université de Paris, Inserm, Paris 75004, France
                [x ]Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
                [y ]Neuroscience department, Institut Pasteur, UMR 3571, CNRS, Université de Paris, Paris 75015, France
                [z ]Integrative Neuroscience and Cognition Center (UMR 8002), Centre National de la Recherche Scientifique (CNRS) and Université de Paris, 75006, Paris, France
                Author notes
                [* ]Corresponding authors: Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France. patrick.friedrich@ 123456rub.de (P. Friedrich), michel.thiebaut@ 123456gmail.com (M. Thiebaut de Schotten).
                Article
                EMS109947
                10.1016/j.neuroimage.2020.117685
                7116589
                33359344
                ac513a6e-bd1c-46f1-a4ef-a12550e474c7

                This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/)

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