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RECHERCHE

RESEARCH Dynamic large-scale network synchronization from perception to action Jonni Hirvonen 1,2 , Simo Monto 1,† 1 , Sheng H. Wang 1 , J.. Matias Palva 1 , and Satu Palva 1Helsinki Institute for Life Sciences, Neuroscience Center, University of Helsinki, Finland 2BioMag Laboratory, HUS Medical Imaging Center, Helsinki University Central Hospital, Finland †Present affiliation: Centre for Interdisciplinary Brain Research, Département de psychologie, Université de

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FONCTION DE MISE AU POINT:

FONCTION DE MISE AU POINT: New Trends in Connectomics ADHD and attentional control: Impaired segregation of task positive and task negative brain networks 1 Brian D. Mills 1 , Oscar Miranda-Dominguez , Sarah L. Karalunas 1 Julia Painter 1 , Kathryn L. Mills , Joel T. Nigg 3,1 3,1 , Eric Earl 1 1 , Michaela Cordova 1,2,3 , , and Damien A. Fair l D o w

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RESEARCH Frequency-based brain networks: From a multiplex framework to a full multilayer description Javier M. Buldú1,2 and Mason A. Porter3,4,5 1Laboratory of Biological Networks, Center for Biomedical Technology (UPM), Pozuelo de Alarcón, Madrid, Spain 2Complex Systems Group & G.I.S.C., Universidad Rey Juan Carlos, Móstoles, Madrid, Spain 3Department of Mathematics, University of California Los Angeles, Les anges, Californie, USA 4Oxford Centre for Industrial and Applied Mathematics,

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RESEARCH Ensemble stacking mitigates biases in inference of synaptic connectivity Brendan Chambers1, Maayan Levy1, Joseph B. Dechery1, and Jason N. MacLean1,2 1Committee on Computational Neuroscience, University of Chicago, Chicago, IL, USA 2Department of Neurobiology, University of Chicago, Chicago, IL, USA Keywords: Analyse de réseau, Network motifs, Simulation and modeling, Synaptic connectivity, Information theory, Ensemble learning a n o p e n a c c e s

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RESEARCH Local connectome phenotypes predict social, health, and cognitive factors Michael A. Powell 1 , Javier O. Garcia , Fang-Cheng Yeh 2,3 Jean M. Vettel , and Timothy Verstynen 2,3,6 4,5 , 7 1Department of Mathematical Sciences, United States Military Academy, West Point, New York, USA 2U.S. Army Research Laboratory, Aberdeen Proving Ground, MARYLAND, USA 3Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvanie, USA 4Department of

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RESEARCH Cognition and connectomes in nondementia idiopathic Parkinson’s disease 1 Luis M. Colon-Perez 2 , Jared J. Tanner 5 Thomas H. Mareci , Michelle Couret 2 , and Catherine C. Prix 3 4 , Shelby Goicochea , 1 Département de psychiatrie, University of Florida, Gainesville, FL, USA 2Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA 3Department of Medicine, Columbia University, Nouveau

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MÉTHODES

METHODS Network dynamics in the healthy and epileptic developing brain Richard Rosch1,2, Torsten Baldeweg2, Friederike Moeller3, and Gerold Baier4 1Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom 2Developmental Neurosciences Programme, UCL Great Ormond Street Institute of Child Health, University College London, United Kingdom 3Department of Clinical Neurophysiology, Great Ormond Street Hospital, Londres, United Kingdom 4Cell and Developmental Biology, University College London, United Kingdom

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RESEARCH Sensitivity analysis of human brain structural network construction Kuang Wei 1,2 3 , Matthew Cieslak 4 , Clint Greene , Scott T. Grafton 3 , and Jean M. Carlson 2 1Department of Physics, University of Chicago, Chicago, IL, USA 2Department of Physics, Université de Californie, Santa Barbara, Californie, USA 3Department of Psychological and Brain Sciences, Université de Californie, Santa Barbara, Californie, USA 4Department of

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PERSPECTIVE

PERSPECTIVE Switching between internal and external modes: A multiscale learning principle 1 Christopher J. Honey , Ehren L. Newman 2 , and Anna C. Schapiro 3 1Department of Psychological and Brain Sciences, Université Johns Hopkins, Baltimore, MARYLAND, USA 2Department of Psychological and Brain Sciences, Indiana University, Bloomington, DANS, USA Department of Psychiatry, Beth Israel Deaconess Medical Center / Harvard Medical School, Boston, MA, Etats-Unis 3

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RESEARCH High-energy brain dynamics during anesthesia-induced unconsciousness James R. Riehl 1 , Ben J. Palanca 3,4 , and ShiNung Ching 1,2,4 1Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA 2Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA 3Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA 4Division of Biology and

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RESEARCH Optimized connectome architecture for sensory-motor integration Jacob C. Worrell1, Jeffrey Rumschlag2, Richard F. Betzel3, Olaf Sporns1, and Bratislav Miši´c4 1Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA 2Department of Cell Biology and Neuroscience, University of California Riverside, Riverside, Californie, USA 3Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvanie, USA 4Montréal Neurological Institute, Université McGill, Montréal, Canada Keywords: Connectome, Cerveau, Spreading, Drosophila

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FONCTION DE MISE AU POINT:

FONCTION DE MISE AU POINT: New Trends in Connectomics The network architecture of value learning Marcelo G. Mattar 1,2 , Sharon L. Thompson-Schill 1 , and Danielle S. Bassett 2,3 1Département de psychologie, University of Pennsylvania, Philadelphia, Pennsylvanie, USA 2Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvanie, USA 3Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvanie, USA Keywords: Functional connectivity, Cognitive systems, Brain networks, Behavioral

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PERSPECTIVE

PERSPECTIVE Dynamical networks: Finding, measuring, and tracking neural population activity using network science Mark D. Humphries Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, United Kingdom Keywords: Graph theory, Network theory, Systems neuroscience, Calcium imaging, Multineuron recordings, Neural ensembles a n o p e n a c c e s s j o u r n a l ABSTRACT l D o w

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MÉTHODES

METHODS Nonparametric test for connectivity detection in multivariate autoregressive networks and application to multiunit activity data M. Gilson 1 , UN. Tauste Campo 1,2 , X. Chen 3 3 , UN. Thiele , and G. Deco 1,4 1Computational Neuroscience Group, Departament de Tecnologies de la Informació i les Comunicacions, Universitat Pompeu Fabra, Barcelona, Spain 2Epilepsy Monitoring Unit, Department of Neurology, Hospital del Mar Medical Research

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RECHERCHE

RESEARCH The graphical brain: Belief propagation and active inference Karl J. Friston 1 1 , Thomas Parr , and Bert de Vries 2,3 1Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, United Kingdom 2Eindhoven University of Technology, Department of Electrical Engineering, Eindhoven, The Netherlands GN Hearing, Eindhoven, Les Pays-Bas 3 Mots clés: Bayesian, Neuronal, Connectivity, Factor graphs, Free energy, Belief propagation, Message passing

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MÉTHODES

METHODS Consensus clustering approach to group brain connectivity matrices Javier Rasero 1,2,3 , Mario Pellicoro 6 Daniele Marinazzo 2 , Leonardo Angelini , and Sebastiano Stramaglia 2,3,4 , Jesus M. Cortes 2,3,4 1,5 , 1Biocruces Health Research Institute. Hospital Universitario de Cruces, Barakaldo, Spain 2Dipartimento di Fisica, Università degli Studi Aldo Moro, Bari, Italy 3Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Italy 4TIRES-Center of

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RECHERCHE

RESEARCH Structural covariance networks across the life span, depuis 6 à 94 years of age 1 Elizabeth DuPre 1 et R. Nathan Spreng 1Laboratory of Brain and Cognition, Human Neuroscience Institute, Department of Human Development, Cornell University, Ithaca, New York, USA Keywords: Réseau, Structural covariance, Gray matter, Développement, Aging, MRI ABSTRACT Structural covariance examines covariation of gray matter morphology between brain regions and across individuals. Malgré

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MÉTHODES

METHODS Large-scale DCMs for resting-state fMRI 1,2,3 Adeel Razi , Mohamed L. Seghier , Yuan Zhou , Peter McColgan , Peter Zeidman 7 Hae-Jeong Park 8 , Olaf Sporns , Geraint Rees , and Karl J. Friston 1,9 1 1,4 1,5 6 1 , 4 1The Wellcome Trust Centre for Neuroimaging, University College London, Londres, United Kingdom 2Monash Biomedical Imaging and Monash Institute of Cognitive

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