RESEARCH MRI network progression in mesial temporal lobe epilepsy related to healthy brain architecture Victoria L. Morgan 1∗ , Graham W. Johnson2, Leon Y. Cai2, Bennett A. Landman3, Kurt G. Schilling1, Dario J. Englot4, Baxter P. Rogers1, and Catie Chang3 1Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA 2Department of Biomedical Engineering, Vanderbilt University, Nashville, TN,

PERSPECTIVE Gradients of connectivity as graph Fourier bases of brain activity Giulia Lioi 1, Vincent Gripon1, Abdelbasset Brahim2, François Rousseau1, and Nicolas Farrugia1 1IMT Atlantique, Brest, France 2INSERM, Laboratoire Traitement du Signal et de l‘Image (LTSI) U1099, University of Rennes, Rennes, France Keywords: Graph signal processing, Connectivity gradients, Graph Fourier transform, Laplacian, Network neuroscience, Neuroimaging ABSTRACT The application of graph theory to model the complex

RESEARCH Dynamic expression of brain functional systems disclosed by fine-scale analysis of edge time series Olaf Sporns 1,2,3,4 , Joshua Faskowitz , Andreia Sofia Teixeira Sarah A. Cutts , and Richard F. Betzel 1,2 1,2,3,4 1,2 3,5,6 , 1Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA 2Program in Neuroscience, Indiana University, Bloomington, IN, USA 3Network Science Institute, Indiana University, Bloomington, IN, USA

REVIEW Atypical core-periphery brain dynamics in autism Dipanjan Roy 1 and Lucina Q. Uddin 2 1Cognitive Brain Dynamics Lab, National Brain Research Centre, Manesar, India 2Department of Psychology, University of Miami, Coral Gables, FL, USA Keywords: Core-periphery dynamics, Atypical timescales, Caudate, Core and contextual symptom severity, Sensory-motor network, Restricted and repetitive behaviors ABSTRACT The intrinsic function of the human brain is dynamic, giving rise to

METHODS Stepwise target controllability identifies dysregulations of macrophage networks in multiple sclerosis Giulia Bassignana1,2, Jennifer Fransson1, Vincent Henry1,2, Olivier Colliot1,2, Violetta Zujovic1, and Fabrizio De Vico Fallani1,2 1Sorbonne University, UPMC Univ Paris 06, Inserm U-1127, CNRS UMR-7225, Institut du Cerveau et de la Moelle Epinière, Hopital Pitié-Salpêtrière, Paris, France 2Inria Paris, Aramis Project Team, Paris, France Keywords: Network controllability, Molecular networks, Multiple sclerosis, Neural disease

RESEARCH The R1-weighted connectome: complementing brain networks with a myelin-sensitive measure Tommy Boshkovski 1 2 , Ljupco Kocarev , Julien Cohen-Adad 1,3,4 5 , Bratislav Miši´c , Stéphane Lehéricy , Nikola Stikov , and Matteo Mancini 6 1,7,∗ 1,8,9,∗ 1NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada 2Macedonian Academy of Sciences and Arts, Skopje, Macedonia 3Department of Neurosciences, Faculty of Medicine, University of Montreal, Montreal, QC,

RESEARCH Inferring network properties from time series using transfer entropy and mutual information: Validation of multivariate versus bivariate approaches Leonardo Novelli 1 and Joseph T. Lizier 1 a n o p e n a c c e s s j o u r n a l 1Centre for Complex Systems, Faculty of Engineering, University of Sydney, Sydney, Australia Keywords: Directed connectivity, Functional connectivity, Network inference,

RESEARCH Computerized physical and cognitive training improves the functional architecture of the brain in adults with Down syndrome: A network science EEG study Alexandra Anagnostopoulou1,∗ , Charis Styliadis 1,∗ , Panagiotis Kartsidis1, Evangelia Romanopoulou1, Vasiliki Zilidou1, Chrysi Karali2, Maria Karagianni1, Manousos Klados3, Evangelos Paraskevopoulos1,4∗∗ , and Panagiotis D. Bamidis 1,∗∗ l D o w n o a d e d f r o m h

RESEARCH Parcels and particles: Markov blankets in the brain Karl J. Friston1, Erik D. Fagerholm2, Tahereh S. Zarghami3, Thomas Parr1, Inês Hipólito4, Loïc Magrou5, and Adeel Razi1,6 1Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom 2Department of Neuroimaging, King’s College London, London, United Kingdom 3Bio-Electric Department, School of Electrical and Computer Engineering, University of Tehran, Amirabad, Tehran, Iran 4Berlin School of Mind

RESEARCH A covariate-constraint method to map brain feature space into lower dimensional manifolds Félix Renard1, Christian Heinrich2, Marine Bouthillon2, Maleka Schenck3,4, Francis Schneider3,4,5, Stéphane Kremer2,6, and Sophie Achard 1 1Université Grenoble Alpes, CNRS, Inria, Grenoble, France 2iCube, Université de Strasbourg, CNRS, Illkirch, France 3Service de Médecine Intensive Réanimation, CHU de Strasbourg, France 4Faculté de Médecine FMTS, Strasbourg, France 5U1121, Université de Strasbourg, France 6Imagerie 2,

RESEARCH The missing role of gray matter in studying brain controllability Hamidreza Jamalabadi1∗ , Agnieszka Zuberer1,2,3,7∗ Meng Li6,7, Sarah Alizadeh1, Ali Moradi Amani8, Christian Gaser7,9, Michael Esterman2,3,10, and Martin Walter1,4,5,6,7 , Vinod Jangir Kumar6, 1Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany 2Boston University School of Medicine, Department of Psychiatry, Boston, MA, USA 3Boston Attention and Learning Laboratory, VA Boston Healthcare System, Boston,

METHODS Exploratory factor analysis with structured residuals for brain network data Erik-Jan van Kesteren 1 and Rogier A. Kievit 2 1Utrecht University, Department of Methodology and Statistics, Utrecht, the Netherlands 2University of Cambridge, MRC Cognition and Brain Sciences Unit, Cambridge, UK Keywords: Dimension reduction, Exploratory Factor analysis, Structural covariance, Functional connectivity, Symmetry, Structural equation model a n o p e n a c c e

FOCUS FEATURE: Network Communication in the Brain Network communication models improve the behavioral and functional predictive utility of the human structural connectome Caio Seguin1, Ye Tian1, and Andrew Zalesky1,2 1Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Melbourne, Australia 2Department of Biomedical Engineering, Melbourne School of Engineering, University of Melbourne, Melbourne, Australia Keywords: Brain network communication models, Neural signaling, Network neuroscience, Connectomics, Behavioral prediction,

RESEARCH Damage to the structural connectome reflected in resting-state fMRI functional connectivity Anirudh Wodeyar1,2, Jessica M. Cassidy3, Steven C. Cramer4, and Ramesh Srinivasan1,5 1Department of Cognitive Sciences, University of California, Irvine, CA, USA 2Department of Statistics, University of California, Irvine, CA, USA 3Department of Allied Health Sciences, Università della Carolina del Nord, Chapel Hill, NC, USA 4Department of Neurology, University of California, Los Angeles, CA, USA

RESEARCH Network topology of the marmoset connectome Zhen-Qi Liu 1, Ying-Qiu Zheng 2, and Bratislav Misic 1 1McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, Quebec, Canada 2Biomedical Engineering, University of Oxford, Oxford, United Kingdom Keywords: Marmoset, Connectome, Brain connectivity, Motif, Persistent homology ABSTRACT The brain is a complex network of interconnected and interacting neuronal populations. Global efforts to understand the emergence of

FOCUS FEATURE: Network Communication in the Brain Models of communication and control for brain networks: distinctions, convergence, and future outlook Pragya Srivastava1, Erfan Nozari2, Jason Z. Kim1, Harang Ju3, Dale Zhou3, Cassiano Becker1, Fabio Pasqualetti4, George J. Pappas2, and Danielle S. Bassett 1,2,5,6,7,8 1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA USA 2Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA USA 3Neuroscience

FOCUS FEATURE: Network Communication in the Brain Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks Shubhankar P. Patankar1, Jason Z. Kim1, Fabio Pasqualetti2, and Danielle S. Bassett 1,3,4,5,6,7,8 1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA USA 2Department of Mechanical Engineering, University of California, Riverside, CA USA 3Department of Neuroscience, University of Pennsylvania, Philadelphia, PA USA 4Department of Electrical and Systems Engineering,

RESEARCH Functional strengthening through synaptic scaling upon connectivity disruption in neuronal cultures Estefanía Estévez-Priego1,2, Sara Teller1,2, Clara Granell3,4, Alex Arenas5, and Jordi Soriano 1,2 1Departament de Física de la Matèria Condensada, Universitat de Barcelona, Barcelona, Spain 2Universitat de Barcelona Institute of Complex Systems (UBICS), Barcelona, Spain 3GOTHAM Lab – Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, Zaragoza, Spain 4Department of