Methods Bridging global and local topology in whole-brain networks using the network statistic jackknife Teague R. 亨利 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, 教堂山, NC, USA 2Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, 巴尔的摩, 医学博士, 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, 多伦多大学, 多伦多, Canada 2Institut de Neurosciences des Systemes, INSERM, Aix-Marseille Universite, Marseille, France Keywords: Dynamical systems, Epilepsy, 认识, Neuroimaging, Computational modeling ABSTRACT The purpose of this paper is to describe a framework for the understanding of rules that govern how neural

焦点功能: 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, Martin 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, 香港, China 2Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, 墨尔本, Australia 3Department of Biomedical Engineering, University of Melbourne, 墨尔本, 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, 斯德哥尔摩, Sweden 2Dutch Connectome Lab, Department of Complex Traits Genetics, Center for Neurogenomics and Cognitive Research, VU Amsterdam, 阿姆斯特丹, The Netherlands 3Department of Clinical Genetics, VU University Medical Center, Amsterdam Neuroscience, 阿姆斯特丹, 1081 HV, 这

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. 瓦. van Straaten4, Betty M. Tijms5, Prejaas Tewarie4, and Cornelis J. Stam4 1Department of Anatomy and Neuroscience,

焦点功能: Linking Experimental and Computational Connectomics An architectonic type principle integrates macroscopic cortico-cortical connections with intrinsic cortical circuits of the primate brain Claus C. 希尔格塔格 1,2, Sarah F. Beul1, Sacha J. van Albada3, and Alexandros Goulas1 1Institute of Computational Neuroscience, 艾彭多夫大学医学中心, 汉堡大学, Germany 2Department of Health Sciences, 波士顿大学, 波士顿, 嘛, 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. de Lange 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, 阿姆斯特丹, The Netherlands 2Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, 阿姆斯特丹, 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. 贝克曼 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, 认识

RESEARCH Comparison between diffusion MRI tractography and histological tract-tracing of cortico-cortical structural connectivity in the ferret brain Céline Delettre1,2,3, 阿诺·梅西2, 利-安妮·戴尔2, 奥菲莉·福贝1, 卡佳豪雅1.4, 伯努瓦·拉拉特5, 塞巴斯蒂安·梅里奥5, 让-弗朗索瓦·曼金5, 伊莎贝尔·雷洛6, 胡安·罗梅罗之路6, 维克多·博雷尔6, 罗伯托·托罗1.7, 和克劳斯·C. 希尔格塔格 2,8 1人类遗传学和认知功能单位, 巴斯德研究所, UMR 3571, 法国国家科学研究中心, 巴黎, France 2Institute of Computational

焦点功能: 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, 斯特拉斯堡, France a n o p e n a

焦点功能: 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, 新天堂, CT, USA 2Princeton Neuroscience Institute, 普林斯顿大学, 普林斯顿大学, 新泽西州, USA 3Department of Mathematics, University at Albany, Albany, 纽约, USA 4Intel Labs, Hillsboro, 或者, USA a n o p e n a c c

焦点功能: 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, 斯坦福大学, 斯坦福大学, CA, USA 2Department of Psychiatry and Behavioral Sciences, 斯坦福大学, 斯坦福大学, CA, USA 3Department of Psychological and Brain Sciences, 印第安纳大学, 布卢明顿, 在, USA 4ISI Foundation, Turin, Italy 5ISI Global Science Foundation, 纽约, 纽约, 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, 工程学院, The University of Sydney, 悉尼, Australia 2Honda Research Institute Europe, Offenbach am Main, Germany 3Computational Neurodynamics Group, Department of Computing, Imperial College London, 伦敦,

焦点功能: 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, 麦迪逊, WI, USA 2Seoul National University, Seoul, Korea 3Washington University, 英石. 路易斯, USA 4King Abdullah University of Science and Technology, Thuwal, Saudi Arabia 5University of New South Wales, 悉尼, Australia Keywords: Functional brain networks, Cycles, 贝蒂

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, 雷恩, France 3CRSI Lab, Engineering Faculty, Lebanese

RESEARCH Functional control of electrophysiological network architecture using direct neurostimulation in humans Ankit N. Khambhati Robert E. 总的 1 , Ari E. Kahn 10 1,3,9 , Barbara C. Jobst 15 11 Gregory Worrell Richard Gorniak , Sarah Seger , Sandhitsu R. 这 5 7 Timothy H. Lucas 5 , 凯瑟琳A. 戴维斯 , Bradley C. Lega 15 , 乔尔·M. 斯坦因 14 17 , 朱莉娅

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