METHODS The backbone network of dynamic functional connectivity Nima Asadi1 , Ingrid R. Olson2,3, and Zoran Obradovic1 1Department of Computer and Information Sciences, College of Science and Technology, Temple University, Philadelphia, PA, USA 2Department of Psychology, College of Liberal Arts, Temple University, Philadelphia, PA, USA 3Decision Neuroscience, College of Liberal Arts, Temple University, Philadelphia, PA, USA Keywords: Dynamic functional connectivity, Backbone network, Null model, Optimization,

RESEARCH Braiding Braak and Braak: Staging patterns and model selection in network neurodegeneration Prama Putra , Travis B. Thompson for the Alzheimer’s Disease Neuroimaging Initiative , Pavanjit Chaggar, and Alain Goriely , Mathematical Institute, Universität Oxford, Oxford, United Kingdom Keywords: Braak, Staging, Tau, Netzwerk, Neurodegeneration, Diffusion-reaction ABSTRACT A hallmark of Alzheimer’s disease is the aggregation of insoluble amyloid-beta plaques and tau protein neurofibrillary tangles.

RESEARCH Directed functional and structural connectivity in a large-scale model for the mouse cortex Ronaldo V. Nunes1 , Marcelo B. Reyes1 , Jorge F. Mejias2 , and Raphael Y. de Camargo1 1Center for Mathematics, Computing, and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil 2Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands Keywords: Large-scale brain models, Directed functional connectivity, Causality,

RESEARCH The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task Gabriel Wainstein1 , Daniel Rojas-Líbano2 , Vicente Medel1,3, Dag Alnæs4,5 , Knut K. Kolskår4,6,7 , Tor Endestad6,8,9 , Bruno Laeng6,8 , Tomas Ossandon3,10 , Nicolás Crossley3, Elie Matar1 , and James M. Shine1,11 1Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia 2Centro de Neurociencia Humana y

REVIEW Edges in brain networks: Contributions to models of structure and function Joshua Faskowitz1,2 , Richard F. Betzel1,2,3,4 , and Olaf Sporns1,2,3,4 1Program in Neuroscience, Indiana University, Bloomington, IN, USA 2Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA 3Indiana University Network Science Institute, Indiana University, Bloomington, IN, USA 4Cognitive Science Program, Indiana University, Bloomington, IN, USA Keywords: Connectome, Netzwerk, Edge, Structure function

RESEARCH Parcellation-induced variation of empirical and simulated brain connectomes at group and subject levels Justin W. M. Domhof1,2, Kyesam Jung1,2, Simon B. Eickhoff1,2, and Oleksandr V. Popovych1,2 1Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany 2Institute for Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany Keywords: Parcellations, Modeling, Ruhezustand, Graphentheorie, Structure-function relationship a n o

RESEARCH Brain connectivity alterations during sleep by closed-loop transcranial neurostimulation predict metamemory sensitivity Ryan J. Hubbard1,2* , Iman Zadeh1,3*, Aaron P. Jones4, Bradley Robert4, Natalie B. Bryant4, Vincent P. Clark4, and Praveen K. Pilly1 1Center for Human-Machine Collaboration, Information and Systems Sciences Laboratory, HRL Laboratories, LLC, Malibu, CA, USA 2Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, IL, USA 3Oracle Cloud Infrastructure,

RESEARCH Network alignment and similarity reveal atlas-based topological differences in structural connectomes Matteo Frigo1* , Emilio Cruciani2* , David Coudert2 , Rachid Deriche1 , Emanuele Natale2 , and Samuel Deslauriers-Gauthier1 1Université Côte d’Azur, Inria, France 2Université Côte d’Azur, Inria, CNRS, I3S, France *These authors contributed equally to this work. a n o p e n a c c e s s j o u r

PERSPECTIVE Personality network neuroscience: Promises and challenges on the way toward a unifying framework of individual variability Kirsten Hilger1,2 and Sebastian Markett3 1Department of Psychology I, Julius-Maximilians University Würzburg, Würzburg, Germany 2Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany 3Department of Psychology, Humboldt-Universität zu Berlin, Germany a n o p e n a c c e s s j o u r n

METHODS Neuronal classification from network connectivity via adjacency spectral embedding Ketan Mehta1* Joshua T. Vogelstein4 , Rebecca F. Goldin2* , David Marchette3, , Carey E. Priebe4, and Giorgio A. Ascoli1 1Department of Bioengineering and Center for Neural Informatics, Structures, and Plasticity, George Mason University, Fairfax, VA, USA 2Department of Mathematical Sciences and Center for Neural Informatics, Structures, and Plasticity, George Mason University, Fairfax, VA, USA

RESEARCH Infant functional networks are modulated by state of consciousness and circadian rhythm Rachel J. Smith1 , Ehsan Alipourjeddi1, Cristal Garner2, Amy L. Maser3, Daniel W. Shrey2,4, und Beth A. Lopour1 1Department of Biomedical Engineering, Universität von Kalifornien, Irvine, CA, USA 2Division of Neurology, Kinderkrankenhaus von Orange County, Orange, CA, USA 3Department of Psychology, Kinderkrankenhaus von Orange County, Orange, CA, USA 4Department of

METHODS A morphospace of functional configuration to assess configural breadth based on brain functional networks Duy Duong-Tran1,2, Kausar Abbas1,2, Enrico Amico1,2,3,4, Bernat Corominas-Murtra5, Mario Dzemidzic6, David Kareken6, Mario Ventresca1,7, and Joaquín Goñi1,2,8 1School of Industrial Engineering, Purdue-Universität, West-Lafayette, IN, USA 2Purdue Institute for Integrative Neuroscience, Purdue-Universität, West-Lafayette, IN, USA 3Institute of Bioengineering/Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Schweiz

RESEARCH A novel dynamic network imaging analysis method reveals aging-related fragmentation of cortical networks in mouse Daniel A. Llano1,3,4 , Chihua Ma2, Umberto Di Fabrizio2, Aynaz Taheri2, Kevin A. Stebbings3,4, Georgiy Yudintsev3,4, Gang Xiao1,4, Robert V. Kenyon2, and Tanya Y. Berger-Wolf2,5 1Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Champaign, IL, USA 2Department of Computer Science, University of Illinois at Chicago, Chicago,

RESEARCH Inferring the heritability of large-scale functional networks with a multivariate ACE modeling approach Fernanda L. Ribeiro1,2* , Felipe R. C. dos Santos3,4* , João R. Sato1 , Walter H. L. Pinaya1,5† , and Claudinei E. Biazoli Jr.1† 1Center of Mathematics, Computing, and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil 2School of Psychology, University of Queensland, Brisbane, Australia 3Centro de Oncologia Molecular,

RESEARCH Long-term stability of avalanche scaling and integrative network organization in prefrontal and premotor cortex Stephanie R. Miller1, Shan Yu1,2, Sinisa Pajevic3, and Dietmar Plenz1 1Section on Critical Brain Dynamics, National Institute of Mental Health, Bethesda, MD, USA 2Brainnetome Center, Institute of Automation, Chinesische Akademie der Wissenschaft, China 3Section on Quantitative Imaging and Tissue Sciences, National Institute of Child Health and Development, NIH, Bethesda, MD,

RESEARCH Predicting MEG resting-state functional connectivity from microstructural information Eirini Messaritaki1,2,3 , Sonya Foley1 , Simona Schiavi4 , Lorenzo Magazzini1, Bethany Routley1, Derek K. Jones1 , and Krish D. Singh1 1Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, UK 2BRAIN Biomedical Research Unit, Cardiff University, Maindy Road, Cardiff, UK 3Division of Psychological Medicine and Clinical Neurosciences, School of

RESEARCH Spontaneous eye movements during eyes-open rest reduce resting-state-network modularity by increasing visual-sensorimotor connectivity Cemal Koba1, Giuseppe Notaro2 Gustav Nilsonne3,4 , and Uri Hasson2 , Sandra Tamm3,4,5 , 1MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy 2Center for Mind/ Brain Sciences (CIMeC), The University of Trento, Trient, Italy 3Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden 4Department of Psychology, Stockholm University, Stockholm,

METHODS Toward an information theoretical description of communication in brain networks Enrico Amico1,2, Kausar Abbas3,4, Duy Anh Duong-Tran4, Uttara Tipnis3,4, Meenusree Rajapandian4, Evgeny Chumin5, Mario Ventresca4, Jaroslaw Harezlak6, and Joaquín Goñi3,4,7 1Institute of Bioengineering, Center for Neuroprosthetics, EPFL, Genf, Switzerland 2Department of Radiology and Medical Informatics, University of Geneva (UNIGE), Genf, Switzerland 3Purdue Institute for Integrative Neuroscience, Purdue-Universität, West-Lafayette, IN, USA 4School of