RESEARCH The sensitivity of network statistics to incomplete electrode sampling on intracranial EEG Erin C. Conrad1,2,∗, John M. Bernabei2,3,∗, Lohith G. Kini2,3, Preya Shah2,3, Fadi Mikhail1,2, Ammar Kheder4, Russell T. Shinohara5,6,7, Kathryn A. Davis1,2, Danielle S. Bassett1,3,8,9,10, and Brian Litt1,2,3,11 1Department of Neurology, Hospital of the University of Pennsylvania, Filadelfia, Pensilvania, USA 2Center for Neuroengineering and Therapeutics, Universidad de Pennsylvania, Filadelfia, Pensilvania, USA 3Department of

RESEARCH The role of node dynamics in shaping emergent functional connectivity patterns in the brain Michael Forrester 1, Jonathan J. Crofts 2, Stamatios N.. Sotiropoulos 3,4,5, Stephen Coombes 1, and Reuben D. O’Dea 1 1Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, UK 2Department of Physics and Mathematics, School of Science and Technology, Nottingham Trent University, Nottingham, UK 3Sir

RESEARCH Brain network constraints and recurrent neural networks reproduce unique trajectories and state transitions seen over the span of minutes in resting-state fMRI Amrit Kashyap1 and Shella Keilholz 1 1Department of Biological Engineering, Georgia Tech and Emory, Atlanta, Georgia, USA a n o p e n a c c e s s j o u r n a l Keywords: Networks to dynamics, Brain network

RESEARCH Long-range temporal correlations in scale-free neuromorphic networks Shota Shirai Edoardo Galli 1,a, Susant Kumar Acharya 1,a, Saurabh Kumar Bose 1, Joshua Brian Mallinson 1, 1, Mateo D.. Pike2, Mateo D.. arnold 3, and Simon Anthony Brown 1 1The MacDiarmid Institute for Advanced Materials and Nanotechnology, School of Physical and Chemical Sciences, Te Kura Mat ¯u, University of Canterbury, Christchurch, New Zealand 2Electrical and Electronics

RESEARCH Reducing the influence of intramodular connectivity in participation coefficient Mangor Pedersen1, Amir Omidvarnia1, James M.. Shine2, Graeme D. Jackson1,3, and Andrew Zalesky4 1The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, Australia 2Brain and Mind Center, The University of Sydney, Sídney, New South Wales, Australia 3Department of Neurology, Austin Health, Melbourne, Victoria, Australia 4Department of Psychiatry, Melbourne Neuropsychiatry Centre,

RESEARCH Brain connectivity during Alzheimer’s disease progression and its cognitive impact in a transgenic rat model Emma Muñoz-Moreno 1,2, Raúl Tudela1,3, Xavier López-Gil1, and Guadalupe Soria1,3 1Experimental 7T MRI Unit, Institut d’Investigacions Bimediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain 2Magnetic Resonance Image Core Facility, Institut d’Investigacions Biomdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain 3Consorcio Centro de Investigacin Biomdica en Red (CIBER) de Bioingeniera,

RESEARCH Impact of higher order network structure on emergent cortical activity Max Nolte 1, Eyal Gal 2,3, Henry Markram1,4, and Michael W. Reimann 1 1Blue Brain Project, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland 2Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel 3Department of Neurobiology, The Hebrew University, Jerusalem, Israel 4Laboratory of Neural Microcircuitry, Brain Mind Institute, École Polytechnique Fédérale

Research Organizing principles of whole-brain functional connectivity in zebrafish larvae Richard F. Betzel 1,2,3,4 1Department of Psychological and Brain Sciences, Universidad de Indiana, Bloomington, EN, USA 2Cognitive Science Program, Universidad de Indiana, Bloomington, EN, USA 3Program in Neuroscience, Universidad de Indiana, Bloomington, EN, USA IU Network Science Institute, Universidad de Indiana, Bloomington, EN, EE.UU 4 Palabras clave: Mesoscale connectomics, Conectividad funcional, Modularity, Wiring cost, Flexibility a n o p e

RESEARCH Clinically feasible brain morphometric similarity network construction approaches with restricted magnetic resonance imaging acquisitions Daniel J. Rey 1 and Amanda G. Wood 1,2 1School of Life and Health Sciences and Aston Neuroscience Institute, Aston University, Birmingham, United Kingdom 2School of Psychology, Faculty of Health, Melbourne Burwood Campus, Deakin University, Geelong, Victoria, Australia Keywords: Morphometric similarity networks, Structural MRI, Morphology, Connectome, Cognition a n o

Research Modeling the influence of the hippocampal memory system on the oculomotor system Jennifer D. ryan 1 John Griffiths 1,2∗ , Kelly Shen 3 , Gleb Bezgin 1∗ 1 , Arber Kacollja , Heather Tian 1 , , and Anthony R. McIntosh 1,2 1Rotman Research Institute, Baycrest, toronto, ontario, Canada 2Department of Psychology, universidad de toronto, toronto, ontario, Canada Montreal Neurological Institute, Universidad McGill, Montréal,

REVIEW Decoding the circuitry of consciousness: From local microcircuits to brain-scale networks Julien Modolo , Mahmoud Hassan , Fabrice Wendling , and Pascal Benquet University of Rennes, INSERM, LTSI–U1099, Rennes, France Keywords: Disorders of consciousness, Conectividad funcional, Micro-circuitry, Communication through coherence, Gating by inhibition, Electroencephalography ABSTRACT Identifying the physiological processes underlying the emergence and maintenance of consciousness is one of the most fundamental problems of

Research The self-organized learning of noisy environmental stimuli requires distinct phases of plasticity Steffen Krüppel 1,2 and Christian Tetzlaff 1,2 1Department of Computational Neuroscience, Third Institute of Physics – Biophysics, Georg-August-University, Göttingen, Germany 2Bernstein Center for Computational Neuroscience, Georg-August-University, Göttingen, Germany Keywords: Synaptic plasticity, Intrinsic plasticity, Noise-robustness, Aprendiendo, Sensory pathways a n o p e n a c c e s s j o u

PERSPECTIVE Model-based whole-brain effective connectivity to study distributed cognition in health and disease Matthieu Gilson 1, Gorka Zamora-López1, Vicente Pallarés1, Mohit H. Adhikari1, Mario Senden2, Adrià Tauste Campo3, Dante Mantini4,5, Maurizio Corbetta6,7, Gustavo Deco1,8, and Andrea Insabato9 1Center for Brain and Cognition and Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain 2Department of Cognitive Neuroscience, University of Maastricht, Maastricht, The Netherlands 3BarcelonaBeta,

Review Questions and controversies in the study of time-varying functional connectivity in resting fMRI Daniel J. Lurie Michael Breakspear 1,∗ 2,∗ , Daniel Kessler 7,8 , Shella Keilholz 13 , Danielle S. bassett , Aaron Kucyi 9 10 , Anthony Randal McIntosh 3,4,5,6 , Richard F. Betzel , Raphaël Liégeois , Russell A. Poldrack 14,15 16,18 20 , William Hedley Thompson , Robyn L. Molinero

Review Intrinsic connectome organization across temporal scales: New insights from cross-modal approaches Sepideh Sadaghiani 1,2 and Jonathan Wirsich 2 1Psychology Department, University of Illinois at Urbana-Champaign, Urbana, IL, USA 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA Keywords: Connectome, Intrinsic, Multimodal, EEG, MEG, fMRI a n o p e n a c c e s s j o

Research Alpha oscillation, criticidad, and responsiveness in complex brain networks MinKyung Kim 1,2 and UnCheol Lee1,2 1Department of Anesthesiology, University of Michigan Medical School, ann-arbor, MI, USA 2Center for Consciousness Science, University of Michigan Medical School, Domino’s Farms, ann-arbor, MI, USA Keywords: Alpha oscillation, Criticality, Responsiveness, Brain network, Coupled oscillator, Periodic perception a n o p e n a c c e s

Research Core language brain network for fMRI language task used in clinical applications Qiongge Li 1,2,∗ , Gino Del Ferraro1,3,∗ , Luca Pasquini3,4, Kyung K. Peck3,5, Hernán A. Makse1, and Andrei I. Holodny3,6,7 1Levich Institute and Physics Department, City College of New York, Nueva York, USA 2Physics Department, The Graduate Center of City University of New York, Nueva York, USA 3Department of Radiology, Memorial Sloan

Research Age-related differences in functional brain network segregation are consistent with a cascade of cerebrovascular, structural, and cognitive effects Tania S. Kong1,2, Caterina Gratton 3,4, Kathy A. Bajo 1, Chin Hong Tan 1,5,6, Antonio M. Chiarelli 1,7, Mark A. Fletcher 1, Benjamin Zimmerman 1, Eduardo L.. Maclin 1, Bradley P. suton 1,8, Gabriele Gratton 1,2, and Monica Fabiani 1,2 1Beckman Institute, University of Illinois at