Methods Bridging global and local topology in whole-brain networks using the network statistic jackknife Teague R. Henry 1, Kelly A. Duffy1, Marc D. Rudolph1, Mary Beth Nebel2,3, Stewart H. Mostofsky2,3,4, and Jessica R. Cohen1 1Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, CAROLINA DEL NORTE, USA 2Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, baltimore, Maryland, USA 3Department of Neurology,

Perspective The hidden repertoire of brain dynamics and dysfunction Anthony R. McIntosh 1 and Viktor K. Jirsa 2 1Rotman Research Institute, Baycrest, universidad de toronto, toronto, Canada 2Institut de Neurosciences des Systemes, INSERM, Aix-Marseille Universite, Marsella, France Keywords: Dynamical systems, Epilepsy, Cognición, Neuroimaging, Computational modeling ABSTRACT The purpose of this paper is to describe a framework for the understanding of rules that govern how neural

FUNCIÓN DE ENFOQUE: Linking Experimental and Computational Connectomics Beyond spikes: Multiscale computational analysis of in vivo long-term recordings in the cockroach circadian clock Pablo Rojas1, Jenny A. Plath2, Julia Gestrich2, Bharath Ananthasubramaniam4, Martín E.. Garcia1,3, Hanspeter Herzel4, and Monika Stengl2,3 1Theoretical Physics, University of Kassel, Kassel, Germany 2Animal Physiology, University of Kassel, Kassel, Germany 3Center for Interdisciplinary Nanostructure Science and Technology (CINSaT), University of Kassel, Kassel,

RESEARCH Synchronization lag in post stroke: relation to motor function and structural connectivity Xin Wang1, Caio Seguin2, Andrew Zalesky2,3, Wan-wa Wong1, Winnie Chiu-wing Chu4, and Raymond Kai-yu Tong1 1Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China 2Melbourne Neuropsychiatry Centre, Department of Psychiatry, Universidad de Melbourne, Melbourne, Australia 3Department of Biomedical Engineering, Universidad de Melbourne, Melbourne, Australia 4Department of Imaging and

RESEARCH Adaptive frequency-based modeling of whole-brain oscillations: Predicting regional vulnerability and hazardousness rates Neda Kaboodvand 1, Martijn P. van den Heuvel2,3, and Peter Fransson1 1Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden 2Dutch Connectome Lab, Department of Complex Traits Genetics, Center for Neurogenomics and Cognitive Research, VU Amsterdam, Ámsterdam, The Netherlands 3Department of Clinical Genetics, VU University Medical Center, Amsterdam Neuroscience, Ámsterdam, 1081 HV, El

REVIEW The road ahead in clinical network neuroscience Linda Douw1,∗ , Edwin van Dellen2,3,∗ , Alida A. Gouw4,5, Alessandra Griffa6, Willem de Haan4,5, Martijn van den Heuvel6,7, Arjan Hillebrand4, Piet Van Mieghem8, Ida A. Nissen4, Willem M. Otte9,10, Yael D. Reijmer11, Menno M. Schoonheim1, Mario Senden12,13, Elisabeth C. W.. van Straaten4, Betty M. Tijms5, Prejaas Tewarie4, and Cornelis J. Stam4 1Department of Anatomy and Neuroscience,

FUNCIÓN DE ENFOQUE: Linking Experimental and Computational Connectomics An architectonic type principle integrates macroscopic cortico-cortical connections with intrinsic cortical circuits of the primate brain Claus C. Hilgetag 1,2, Sarah F. Beul1, Sacha J. van Albada3, and Alexandros Goulas1 1Institute of Computational Neuroscience, University Medical Center Eppendorf, Hamburg University, Germany 2Department of Health Sciences, Boston University, Bostón, MAMÁ, USA 3Institute of Neuroscience and Medicine (INM-6), Institute for

RESEARCH Connection strength of the macaque connectome augments topological and functional network attributes Siemon C. el largo 1, Dirk Jan Ardesch1, and Martijn P. van den Heuvel1,2 1Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Ámsterdam, The Netherlands 2Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Ámsterdam, The Netherlands a n o

METHODS Increasing robustness of pairwise methods for effective connectivity in magnetic resonance imaging by using fractional moment series of BOLD signal distributions Natalia Z. Bielczyk 1,3, Jan K. Buitelaar Jeffrey C. Glennon1,2, and Christian F. beckman 1,2,3,4 1,2, Alberto Llera 1,2, a n o p e n a c c e s s j o u r n a l 1Donders Institute for Brain, Cognición

RESEARCH Comparison between diffusion MRI tractography and histological tract-tracing of cortico-cortical structural connectivity in the ferret brain Céline Delettre1,2,3, Arnaud Messé2, Leigh-Anne Dell2, Ophélie Foubet1, Katja Heuer1,4, Benoit Larrat5, Sebastien Meriaux5, Jean-Francois Mangin5, Isabel Reillo6, Camino de Juan Romero6, Victor Borrell6, Roberto Toro1,7, and Claus C. Hilgetag 2,8 1Unité de Génétique Humaine et Fonctions Cognitives, Institut Pasteur, UMR 3571, CNRS, París, France 2Institute of Computational

FUNCIÓN DE ENFOQUE: Linking Experimental and Computational Connectomics Network remodeling induced by transcranial brain stimulation: A computational model of tDCS-triggered cell assembly formation Han Lu 1,2 , Júlia V. Gallinaro 1 , and Stefan Rotter 1 1Bernstein Center Freiburg and Faculty of Biology, University of Freiburg, Freiburg, Germany 2Institute of Cellular and Integrative Neurosciences, University of Strasbourg, Strasbourg, France a n o p e n a

FUNCIÓN DE ENFOQUE: Topological Neuroscience Feasibility of topological data analysis for event-related fMRI Cameron T. Ellis1, Michael Lesnick3, Gregory Henselman-Petrusek2, Bryn Keller4, and Jonathan D. Cohen2 1Department of Psychology, Yale University, nuevo refugio, CT, USA 2Princeton Neuroscience Institute, Universidad de Princeton, Princeton, Nueva Jersey, USA 3Department of Mathematics, University at Albany, Albany, Nueva York, USA 4Intel Labs, Hillsboro, O, USA a n o p e n a c c

FUNCIÓN DE ENFOQUE: Topological Neuroscience Generating dynamical neuroimaging spatiotemporal representations (DyNeuSR) using topological data analysis Caleb Geniesse1,2, Olaf Sporns3, Giovanni Petri4,5, and Manish Saggar1,2 1Biophysics Program, Universidad Stanford, stanford, California, USA 2Department of Psychiatry and Behavioral Sciences, Universidad Stanford, stanford, California, USA 3Department of Psychological and Brain Sciences, Universidad de Indiana, Bloomington, EN, USA 4ISI Foundation, Turin, Italy 5ISI Global Science Foundation, Nueva York, Nueva York, USA a

Methods Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing Leonardo Novelli 1 , Patricia Wollstadt 4 , Pedro Mediano 1 Michael Wibral , and Joseph T. Lizier 2,∗ 3 , 1Centre for Complex Systems, Faculty of Engineering, The University of Sydney, Sídney, Australia 2Honda Research Institute Europe, Offenbach am Main, Germany 3Computational Neurodynamics Group, Department of Computing, Imperial College London, Londres,

FUNCIÓN DE ENFOQUE: Topological Neuroscience Exact topological inference of the resting-state brain networks in twins Moo K. Chung1, Hyekyoung Lee2, Alex DiChristofano3, Hernando Ombao4, and Victor Solo5 1University of Wisconsin, Madison, Wisconsin, USA 2Seoul National University, Seoul, Korea 3Washington University, Calle. luis, USA 4King Abdullah University of Science and Technology, Thuwal, Saudi Arabia 5University of New South Wales, Sídney, Australia Keywords: Functional brain networks, Cycles, Betti

RESEARCH Detecting modular brain states in rest and task Aya Kabbara 1,2,3 Youssof El Traboulsi , Mohamad Khalil 7 , Georges O’Neill 2 , Fabrice Wendling , and Mahmoud Hassan 4 , Kathy Dujardin 5,6 , 2 1,3 1Azm Center for Research in Biotechnology and Its Applications, EDST, Lebanese University, Beirut, Lebanon 2University of Rennes, LTSI – U1099, Rennes, France 3CRSI Lab, Engineering Faculty, Lebanese

RESEARCH Functional control of electrophysiological network architecture using direct neurostimulation in humans Ankit N. Khambhati Robert E. Bruto 1 , Ari E. Kahn 10 1,3,9 , Barbara C. Jobst 15 11 Gregory Worrell Richard Gorniak , Sarah Seger , Sandhitsu R. El 5 7 Timothy H. lucas 5 , Kathryn A. davis , Bradley C. Lega 15 , Joel M. piedra 14 17 , Julia

PERSPECTIVE Columnar connectome: toward a mathematics of brain function Anna Wang Roe Institute of Interdisciplinary Neuroscience and Technology, Zhejiang University, Hangzhou, China Keywords: Primate, Cerebral cortex, Functional networks, Functional tract tracing, Matrix mapping, Brain theory, Artificial intelligence ABSTRACT Understanding brain networks is important for many fields, including neuroscience, psicología, medicine, and artificial intelligence. To address this fundamental need, there are multiple ongoing connectome projects in