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FOKUS-FUNKTION: Network Communication in the Brain Signal propagation via cortical hierarchies Bertha Vázquez-Rodríguez 1,∗, Zhen-Qi Liu 1,∗, Patric Hagmann 2, and Bratislav Misic 1 1McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill-Universität, Montréal, Quebec, Canada 2Connectomics Lab, Department of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Lausanne, Switzerland ∗These authors contributed equally to this work. Schlüsselwörter: Connectome, Neural communication, Neural networks,
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RESEARCH Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain John Fallon 1, Phillip G. D. Station 1,2, Linden Parkes 1,3, Stuart Oldham1, Aurina Arnatkevi˘ci ¯ut˙e 1, Alex Fornito1, and Ben D. Fulcher 2,4 1Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Victoria, Australia 2Australian Research Council Centre of Excellence for Integrative Brain
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RESEARCH Asymmetric high-order anatomical brain connectivity sculpts effective connectivity Arseny A. Sokolov 1,2,3,4, Peter Zeidman1, Adeel Razi1,5,6, Michael Erb7, Philippe Ryvlin3, Marina A. Pavlova8, and Karl J. Friston1 1Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom 2Department of Neurology, University Neurorehabilitation, University Hospital Inselspital, University of Bern, Bern, Switzerland 3Service de Neurologie and Neuroscape@NeuroTech Platform, Département des Neurosciences Cliniques,
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RESEARCH Static and dynamic aspects of cerebro-cerebellar functional connectivity are associated with self-reported measures of impulsivity: A resting-state fMRI study Majd Abdallah1, Nicolas Farrugia 2, Valentine Chirokoff1, and Sandra Chanraud 1,3 1Aquitaine Institute of Cognitive and Integrative Neuroscience, UMR CNRS 5287, University of Bordeaux, France 2Electronics Department Lab STICC, IMT Atlantique, UMR CNRS 6285, Brest, France 3Laboratory of Neuroimaging and Daily Life, EPHE, PSL Research
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RESEARCH Using structural connectivity to augment community structure in EEG functional connectivity Katharina Glomb 1, Emeline Mullier1, Margherita Carboni2,3, Maria Rubega4, Giannarita Iannotti3, Sebastien Tourbier1, Martin Seeber3, Serge Vulliemoz2, and Patric Hagmann1 1Connectomics Lab, Department of Radiology, University Hospital of Lausanne and University of Lausanne, Lausanne (CHUV-UNIL), Vaud, Switzerland 2EEG and Epilepsy, Neurologie, University Hospitals of Geneva and University of Geneva, Genf, Switzerland 3Functional Brain
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RESEARCH Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices Leonardo Tozzi1, Scott L. Fleming2, Zachary D. Taylor3, Cooper D. Raterink3, and Leanne M. Williams 1 1Department of Psychiatry and Behavioral Sciences, Universität in Stanford, Stanford, CA, USA 2Department of Biomedical Data Science, Universität in Stanford, Stanford, CA, USA 3Department of Computer Science, Universität in Stanford,
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RESEARCH Synergistic information in a dynamical model implemented on the human structural connectome reveals spatially distinct associations with age Davide Nuzzi1, Mario Pellicoro1, Leonardo Angelini1, Daniele Marinazzo 2, and Sebastiano Stramaglia 1,3 a n o p e n a c c e s s j o u r n a l 1Dipartimento Interateneo di Fisica, Universitã degli Studi Aldo Moro, Bari and INFN, Bari, Italien
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RESEARCH Theta-burst TMS to the posterior superior temporal sulcus decreases resting-state fMRI connectivity across the face processing network 1, Geena Ianni2, Benjamin Gutierrez1, Daniel A. Handwerker Vinai Roopchansingh3, Javier Gonzalez-Castillo 1, Gang Chen4, 1,3, Leslie G. Ungerleider 2, and David Pitcher5 Peter A. Bandettini a n o p e n a c c e s s j o u r n a l Citation: Handwerker,
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RESEARCH Network topology of symbolic and nonsymbolic number comparison Benjamin N. Conrad 1,2, Eric D. Wilkey 1,2,3, Darren J. Yeo 1,2,4, and Gavin R. Price1,2 1Psychology and Human Development, Vanderbilt University, Nashville, TN, USA 2Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA 3Brain & Mind Institute, Western University, London, ON, Canada 4Division of Psychology, School of Social Sciences, Nanyang Technological University, Singapore Keywords: Numerical cognition,
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FOKUS-FUNKTION: Network Communication in the Brain Communicability distance reveals hidden patterns of Alzheimer’s disease Eufemia Lella1,2 and Ernesto Estrada 3,4 1Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy 2Innovation Lab, Exprivia S.p.A., Molfetta, Italy 3Institute of Applied Mathematics (IUMA), Universidad de Zaragoza, Zaragoza, Spain 4ARAID Foundation, Government of Aragón, Zaragoza, Spain a n o p e n a c c e s
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RESEARCH Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus Nicola Pedreschi1,2, Christophe Bernard2, Wesley Clawson2, Pascale Quilichini2, Alain Barrat1,3, and Demian Battaglia2 1Aix-Marseille University, Université de Toulon, CNRS, CPT, Turing Center for Living Systems, Marseille, France 2Aix-Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, France 3Tokyo Tech World Research Hub Initiative (WRHI), Institute of Innovative Research, Tokyo Institute of
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RESEARCH Correlated activity favors synergistic processing in local cortical networks in vitro at synaptically relevant timescales Samantha P. Sherrill 1, Nicholas M. Timme2, John M. Beggs3, and Ehren L. Newman1 1Department of Psychological and Brain Sciences and Program in Neuroscience, Indiana University Bloomington, Bloomington, IN, USA 2Department of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA 3Department of Physics & Program in Neuroscience, Indiana University
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RESEARCH Uncovering differential identifiability in network properties of human brain functional connectomes Meenusree Rajapandian1, Enrico Amico1,2, Kausar Abbas1,2, Mario Ventresca1, and Joaquín Goñi1,2,3 1School of Industrial Engineering, Purdue-Universität, West-Lafayette, IN, USA 2Purdue Institute of Integrative Neuroscience, West-Lafayette, IN, USA 3Weldon School of Biomedical Engineering, West-Lafayette, IN, USA a n o p e n a c c e s s j o
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RESEARCH Reconfigurations within resonating communities of brain regions following TMS reveal different scales of processing 1,2, Arian Ashourvan1,2, Steven M. Thurman1, Javier O. Garcia Ramesh Srinivasan3,4, Danielle S. Bassett2,5, and Jean M. Vettel1,2,6 1U.S. Army CCDC Army Research Laboratory, Aberdeen Proving Ground, MD, USA 2Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA 3Department of Cognitive Sciences, Universität von Kalifornien, Irvine, Irvine, CA, USA 4Department
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RESEARCH Estimation of global and local complexities of brain networks: A random walks approach Roberto C. Sotero1,2,3, Lazaro M. Sanchez-Rodriguez1,2, Narges Moradi1,2,3, and Mehdy Dousty4,5 1Hotchkiss Brain Institute, University of Calgary, AB, Canada 2Department of Radiology, University of Calgary, AB, Canada 3Biomedical Engineering Graduate Program, University of Calgary, AB, Canada 4Institute of Biomaterials and Biomedical Engineering, Universität von Toronto, ON, Canada 5KITE, Toronto Rehab, Universität
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RESEARCH Distinct patterns of thought mediate the link between brain functional connectomes and well-being Deniz Vatansever 1,2, Theodoros Karapanagiotidis2, Daniel S. Margulies3, Elizabeth Jefferies2, and Jonathan Smallwood2 1Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China 2Department of Psychology, University of York, York, United Kingdom 3Brain and Spine Institute, French National Centre for Scientific Research, Paris, France a n o p e
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RESEARCH A mathematical model of ephaptic interactions in neuronal fiber pathways: Could there be more than transmission along the tracts? Hiba Sheheitli 1 and Viktor K. Jirsa1 1Aix-Marseille University, Inserm, INS UMR_S 1106, Marseille, France Keywords: Ephaptic interaction modeling, Axonal cable theory, Fiber pathways, Neuronal commu- nikation, Weiße Substanz, Spatiotemporal patterns a n o p e n a c c e s s j o
REZENSION
REVIEW Brain network similarity: methods and applications Ahmad Mheich, Fabrice Wendling, and Mahmoud Hassan Laboratoire Traitement du Signal et de l’Image, Institut National de la Santé et de la Recherche Médicale, Rennes, France Keywords: Brain networks, Network similarity, Graph matching, Graph comparison ABSTRACT Graph theoretical approach has proved an effective tool to understand, characterize, and quantify the complex brain network. Jedoch, much less attention has