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      Consensus Paper: Cerebellum and Social Cognition

      research-article
      1 , , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 9 , 10 , 1 , 6 , 1 , 11 , 12 , 6 , 7 , 1 , 13 , 10 , 14 , 11 , 15 , 16 , 17 , 13 , 18 , 19 , 6 , 7
      Cerebellum (London, England)
      Springer US
      Posterior cerebellum, Crus I/II, Social cognition, Social mentalizing, Mind reading, Social mirroring, Body language reading, Social action sequences, Cerebellar stimulation, Innate hand-tool overlap, Stone-tool making

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          Abstract

          The traditional view on the cerebellum is that it controls motor behavior. Although recent work has revealed that the cerebellum supports also nonmotor functions such as cognition and affect, only during the last 5 years it has become evident that the cerebellum also plays an important social role. This role is evident in social cognition based on interpreting goal-directed actions through the movements of individuals (social “mirroring”) which is very close to its original role in motor learning, as well as in social understanding of other individuals’ mental state, such as their intentions, beliefs, past behaviors, future aspirations, and personality traits (social “mentalizing”). Most of this mentalizing role is supported by the posterior cerebellum (e.g., Crus I and II). The most dominant hypothesis is that the cerebellum assists in learning and understanding social action sequences, and so facilitates social cognition by supporting optimal predictions about imminent or future social interaction and cooperation. This consensus paper brings together experts from different fields to discuss recent efforts in understanding the role of the cerebellum in social cognition, and the understanding of social behaviors and mental states by others, its effect on clinical impairments such as cerebellar ataxia and autism spectrum disorder, and how the cerebellum can become a potential target for noninvasive brain stimulation as a therapeutic intervention. We report on the most recent empirical findings and techniques for understanding and manipulating cerebellar circuits in humans. Cerebellar circuitry appears now as a key structure to elucidate social interactions.

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          A default mode of brain function.

          A baseline or control state is fundamental to the understanding of most complex systems. Defining a baseline state in the human brain, arguably our most complex system, poses a particular challenge. Many suspect that left unconstrained, its activity will vary unpredictably. Despite this prediction we identify a baseline state of the normal adult human brain in terms of the brain oxygen extraction fraction or OEF. The OEF is defined as the ratio of oxygen used by the brain to oxygen delivered by flowing blood and is remarkably uniform in the awake but resting state (e.g., lying quietly with eyes closed). Local deviations in the OEF represent the physiological basis of signals of changes in neuronal activity obtained with functional MRI during a wide variety of human behaviors. We used quantitative metabolic and circulatory measurements from positron-emission tomography to obtain the OEF regionally throughout the brain. Areas of activation were conspicuous by their absence. All significant deviations from the mean hemisphere OEF were increases, signifying deactivations, and resided almost exclusively in the visual system. Defining the baseline state of an area in this manner attaches meaning to a group of areas that consistently exhibit decreases from this baseline, during a wide variety of goal-directed behaviors monitored with positron-emission tomography and functional MRI. These decreases suggest the existence of an organized, baseline default mode of brain function that is suspended during specific goal-directed behaviors.
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            The brain's default network: anatomy, function, and relevance to disease.

            Thirty years of brain imaging research has converged to define the brain's default network-a novel and only recently appreciated brain system that participates in internal modes of cognition. Here we synthesize past observations to provide strong evidence that the default network is a specific, anatomically defined brain system preferentially active when individuals are not focused on the external environment. Analysis of connectional anatomy in the monkey supports the presence of an interconnected brain system. Providing insight into function, the default network is active when individuals are engaged in internally focused tasks including autobiographical memory retrieval, envisioning the future, and conceiving the perspectives of others. Probing the functional anatomy of the network in detail reveals that it is best understood as multiple interacting subsystems. The medial temporal lobe subsystem provides information from prior experiences in the form of memories and associations that are the building blocks of mental simulation. The medial prefrontal subsystem facilitates the flexible use of this information during the construction of self-relevant mental simulations. These two subsystems converge on important nodes of integration including the posterior cingulate cortex. The implications of these functional and anatomical observations are discussed in relation to possible adaptive roles of the default network for using past experiences to plan for the future, navigate social interactions, and maximize the utility of moments when we are not otherwise engaged by the external world. We conclude by discussing the relevance of the default network for understanding mental disorders including autism, schizophrenia, and Alzheimer's disease.
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              The WU-Minn Human Connectome Project: an overview.

              The Human Connectome Project consortium led by Washington University, University of Minnesota, and Oxford University is undertaking a systematic effort to map macroscopic human brain circuits and their relationship to behavior in a large population of healthy adults. This overview article focuses on progress made during the first half of the 5-year project in refining the methods for data acquisition and analysis. Preliminary analyses based on a finalized set of acquisition and preprocessing protocols demonstrate the exceptionally high quality of the data from each modality. The first quarterly release of imaging and behavioral data via the ConnectomeDB database demonstrates the commitment to making HCP datasets freely accessible. Altogether, the progress to date provides grounds for optimism that the HCP datasets and associated methods and software will become increasingly valuable resources for characterizing human brain connectivity and function, their relationship to behavior, and their heritability and genetic underpinnings. Copyright © 2013 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Frank.VanOverwalle@vub.ac.be
                mmanto@ulb.ac.be
                zaira.cattaneo@unimib.it
                silvia.clausi@uniroma1.it
                chiara.ferrari@unipv.it
                gabrieli@mit.edu
                xguellparadis@mgh.harvard.edu
                Elien.Heleven@vub.be
                m.lupo@hsantalucia.it
                Qianying.Ma@vub.be
                michelutti.marco.m@gmail.com
                g.olivito@hsantalucia.it
                Min.Pu@vub.be
                laura.blevins@student.american.edu
                jschmahmann@mgh.harvard.edu
                libera.siciliano@uniroma1.it
                Arseny.Sokolov@chuv.ch
                stoodley@american.edu
                kim.vandun@uhasselt.be
                LVandervert@aol.com
                maria.leggio@uniroma1.it
                Journal
                Cerebellum
                Cerebellum
                Cerebellum (London, England)
                Springer US (New York )
                1473-4222
                1473-4230
                7 July 2020
                7 July 2020
                2020
                : 19
                : 6
                : 833-868
                Affiliations
                [1 ]GRID grid.8767.e, ISNI 0000 0001 2290 8069, Department of Psychology and Center for Neuroscience, , Vrije Universiteit Brussel, ; Pleinlaan 2, 1050 Brussels, Belgium
                [2 ]GRID grid.413871.8, ISNI 0000 0001 0124 3248, Mediathèque Jean Jacquy, Service de Neurologie, , CHU-Charleroi, ; Charleroi, Belgium
                [3 ]GRID grid.8364.9, ISNI 0000 0001 2184 581X, Service des Neurosciences, , Université de Mons, ; Mons, Belgium
                [4 ]GRID grid.7563.7, ISNI 0000 0001 2174 1754, University of Milano-Bicocca, ; 20126 Milan, Italy
                [5 ]IRCCS Mondino Foundation, Pavia, Italy
                [6 ]GRID grid.417778.a, ISNI 0000 0001 0692 3437, Ataxia Laboratory, , IRCCS Fondazione Santa Lucia, ; 00179 Rome, Italy
                [7 ]GRID grid.7841.a, Department of Psychology, , Sapienza University of Rome, ; Rome, Italy
                [8 ]GRID grid.8982.b, ISNI 0000 0004 1762 5736, University of Pavia, ; 27100 Pavia, Italy
                [9 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, McGovern Institute for Brain Research, , Massachusetts Institute of Technology, ; Cambridge, USA
                [10 ]GRID grid.32224.35, ISNI 0000 0004 0386 9924, Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, , Massachusetts General Hospital, Harvard Medical School, ; Boston, MA USA
                [11 ]GRID grid.8515.9, ISNI 0000 0001 0423 4662, Service de Neurologie & Neuroscape@NeuroTech Platform, Département des Neurosciences Cliniques, , Centre Hospitalier Universitaire Vaudois (CHUV), Service de Neurologie Lausanne, ; Lausanne, Switzerland
                [12 ]GRID grid.5608.b, ISNI 0000 0004 1757 3470, Department of Neurosciences, , University of Padua, ; Padua, Italy
                [13 ]GRID grid.63124.32, ISNI 0000 0001 2173 2321, Department of Psychology and Department of Neuroscience, , American University, ; Washington, DC USA
                [14 ]GRID grid.7841.a, Program in Behavioral Neuroscience, , Sapienza University of Rome, ; Rome, Italy
                [15 ]Department of Neurology, University Neurorehabilitation, University Hospital Inselspital, University of Bern, Bern, Switzerland
                [16 ]GRID grid.83440.3b, ISNI 0000000121901201, Wellcome Centre for Human Neuroimaging, Institute of Neurology, , University College London (UCL), ; London, UK
                [17 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Neuroscape Center, Weill Institute for Neurosciences, Department of Neurology, , University of California San Francisco, ; San Francisco, CA USA
                [18 ]GRID grid.12155.32, ISNI 0000 0001 0604 5662, Neurologic Rehabilitation Research, Rehabilitation Research Institute (REVAL), , Hasselt University, ; 3590 Diepenbeek, Belgium
                [19 ]American Nonlinear Systems, 1529 W. Courtland Avenue, Spokane, WA 99205-2608 USA
                Author information
                http://orcid.org/0000-0002-2538-9847
                Article
                1155
                10.1007/s12311-020-01155-1
                7588399
                32632709
                3033de12-c96e-465f-af3d-21f51299fabd
                © The Author(s) 2020

                Open Access This 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
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004418, Vrije Universiteit Brussel;
                Award ID: SRP57
                Funded by: Centro universitario di ricerca e formazione per lo sviluppo competitivo delle imprese del settore vitivinicolo italiano, Università degli Studi di Firenze (IT)
                Award ID: GR-2016-02363640
                Award Recipient :
                Funded by: University of Padua
                Award ID: Mille E Una Lode fellowship
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: NIH R15MH106957
                Categories
                Consensus Paper
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2020

                Neurology
                posterior cerebellum,crus i/ii,social cognition,social mentalizing,mind reading,social mirroring,body language reading,social action sequences,cerebellar stimulation,innate hand-tool overlap,stone-tool making

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