RESEARCH Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticity Gaia Tavoni1,2, Ulisse Ferrari1,2, Francesco P. Battaglia3, Simona Cocco1, and Rémi Monasson2 1Laboratoire de Physique Statistique, Ecole Normale Supérieure, PSL Research and CNRS – UMR 8550, Paris Sorbonne UPMC, Paris, France 2Laboratoire de Physique Théorique, Ecole Normale Supérieure, PSL Research and CNRS- UMR 8549, Paris Sorbonne UPMC, Paris, France 3Donders Institute for

RESEARCH Consistency of Regions of Interest as nodes of fMRI functional brain networks Onerva Korhonen 1,2 , Heini Saarimäki 1 , Enrico Glerean 1 1 , Mikko Sams , and Jari Saramäki 2 1Department of Neuroscience and Biomedical Engineering, School of Science, Aalto University, Espoo, Finland 2Department of Computer Science, School of Science, Aalto University, Espoo, Finland Keywords: Functional magnetic resonance imaging, Functional brain networks,

METHODS Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks Speranza Sannino1,4, Sebastiano Stramaglia2, Lucas Lacasa3, and Daniele Marinazzo1 1Department of Data Analysis, Faculty of Psychology and Educational Sciences, University of Ghent, Belgium 2Department of Physics, University of Bari and INFN Section of Bari, Italy 3School of Mathematical Sciences, Queen Mary University of London, United Kingdom 4Department of Electric and

METHODS From static to temporal network theory: Applications to functional brain connectivity William Hedley Thompson1, Per Brantefors1, and Peter Fransson1 1Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden Keywords: Resting-state, Temporal network theory, Temporal networks, Functional connectome, Dynamic functional connectivity ABSTRACT Network neuroscience has become an established paradigm to tackle questions related to the functional and structural connectome of the brain. Recently, interest has been

RESEARCH Fluid and flexible minds: Intelligence reflects synchrony in the brain’s intrinsic network architecture Michael A. Ferguson1,2∗ , Jeffrey S. Anderson2, and R. Nathan Spreng1∗ 1Laboratory of Brain and Cognition, Human Neuroscience Institute, Department of Human Development, Cornell University, Ithaca, NY, 14853 2Departments of Bioengineering and Neuroradiology, University of Utah, Salt Lake City, UT, 84132 Keywords: intelligence, fMRI, resting state functional connectivity, machine learning, cognition

RESEARCH Large-scale network dynamics of beta-band oscillations underlie auditory perceptual decision-making Mohsen Alavash1,2, Christoph Daube2, Malte Wöstmann1,2, Alex Brandmeyer2, and Jonas Obleser1,2 1Department of Psychology, University of Lübeck, Germany 2Max Planck Research Group “Auditory Cognition,” Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany Keywords: Network dynamics, Perceptual decision, Oscillation, MEG, Functional connectivity a n o p e n a c c e

RESEARCH Modular co-organization of functional connectivity and scale-free dynamics in the human brain Alexander Zhigalov1,2,3∗ , Gabriele Arnulfo1,4, Lino Nobili5, Satu Palva1, and J. Matias Palva1 1Neuroscience Center, University of Helsinki, Finland 2BioMag laboratory, HUS Medical Imaging Center, Helsinki University Central Hospital, Finland 3Department of Computer Science, University of Helsinki, Finland 4Department of Informatics, Bioengineering, Robotics and System Engineering, University of Genova, Italy 5Claudio Munari

RESEARCH Enhanced prefrontal functional–structural networks to support postural control deficits after traumatic brain injury in a pediatric population Ibai Diez1, David Drijkoningen2, Sebastiano Stramaglia3,4, Paolo Bonifazi1,7, Daniele Marinazzo5, Jolien Gooijers2, Stephan P. Swinnen2,6, and Jesus M. Cortes1,7,8 1Biocruces Health Research Institute, Cruces University Hospital, Barakaldo, Spain. 2KU Leuven, Movement Control and Neuroplasticity Research Group, Group Biomedical Sciences, Leuve, Belgium. 3Dipartimento di Fisica, Universita degli Studi

RESEARCH Spontaneous brain network activity: Analysis of its temporal complexity Mangor Pedersen1∗ , Amir Omidvarnia1, Jennifer M. Walz1, Andrew Zalesky2,3, and Graeme D. Jackson1,4 1The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, Australia 2Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne, Victoria, Australia 3Melbourne School of Engineering, The University of Melbourne, Victoria, Australia 4Department of Neurology, Austin

RESEARCH Nonrandom network connectivity comes in pairs Felix Z. Hoffmann1,2 and Jochen Triesch1 1Frankfurt Institute for Advanced Studies (FIAS), Johann Wolfgang Goethe University, Frankfurt am Main, Germany 2International Max Planck Research School for Neural Circuits, Max Planck Institute for Brain Research, Frankfurt am Main, Germany Keywords: Nonrandom connectivity, Cortical circuit, Bidirectional connections, Random graph model ABSTRACT Overrepresentation of bidirectional connections in local cortical networks has

PERSPECTIVE Cognitive genomics: Linking genes to behavior in the human brain Genevieve Konopka Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX 75390-9111, USA ABSTRACT Correlations of genetic variation in DNA with functional brain activity have already provided a starting point for delving into human cognitive mechanisms. However, these analyses do not provide the specific genes driving the associations, which are complicated by intergenic localization

RESEARCH The modular organization of human anatomical brain networks: Accounting for the cost of wiring Richard F. Betzel1, John D. Medaglia1,2, Lia Papadopoulos3, Graham L. Baum4, Ruben C. Gur4, Raquel E. Gur4, David Roalf4, Theodore D. Satterthwaite4, and Danielle S. Bassett1,5 1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104 2Department of Psychology, University of Pennsylvania, Philadelphia, PA, 19104 3Department of Physics, University of Pennsylvania,

RESEARCH Evolution of brain network dynamics in neurodevelopment Lucy R. Chai1, Ankit N. Khambhati1, Rastko Ciric2, Tyler M. Moore2, Ruben C. Gur2, Raquel E. Gur2, Theodore D. Satterthwaite2, and Danielle S. Bassett1,3 1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104 USA 2Brain Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104 USA 3Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia,