EDITORIAL Editorial: Focus feature on consciousness and cognition Randy McIntosh1, Sean Hill2, and Olaf Sporns3 1Institute for Neuroscience and Neurotechnology, Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada 2Krembil Centre for Neuroinformatics, Departments of Psychiatry and Psychology, 多伦多大学, 多伦多, 在, Canada 3Department of Psychological and Brain Sciences, 印第安纳大学, 布卢明顿, 在, USA Keywords: Connectivity, Brain networks, 大脑动力学, 意识,

EDITORIAL Editorial: Focus feature on biomarkers in network neuroscience Linda Douw1, Mario Senden2,3, and Martijn van den Heuvel4,5 1Department of Anatomy and Neurosciences, Amsterdam Neuroscience, UMC, Vrije Universiteit Amsterdam, 阿姆斯特丹, Netherlands 2Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, 马斯特里赫特, Netherlands 3Maastricht Brain Imaging Centre, Faculty of Psychology and Neuroscience, Maastricht University, 马斯特里赫特, Netherlands 4Department of Complex Trait Genetics, Center for Neurogenomics

焦点功能: Network Communication in the Brain Editorial: Network Communication in the Brain 1 Daniel Graham 2 , Andrea Avena-Koenigsberger 3 , and Bratislav Miši´c 1Department of Psychology, Hobart and William Smith Colleges, 日内瓦, 纽约, USA 2University Information Technology Services, 印第安纳大学, 布卢明顿, 在, USA 3McConnell Brain Imaging Centre, Montréal Neurological Institute, 麦吉尔大学, 蒙特利尔, Quebec, Canada Keywords: Brain connectivity; Communication models; Connectome; Network dynamics;

焦点功能: Linking Experimental and Computational Connectomics Editorial: Linking experimental and computational connectomics Alexander Peyser 1, Sandra Diaz Pier1, Wouter Klijn1, Abigail Morrison1,2,3, and Jochen Triesch4 1SimLab Neuroscience, Jülich Supercomputing Centre (JSC), Institute for Advanced Simulation, JARA, Forschungszentrum Jülich GmbH, Jülich, Germany 2Institute of Neuroscience and Medicine, Institute for Advanced Simulation, JARA Institute Brain Structure-Function Relationships, Forschungszentrum Jülich GmbH, Jülich, Germany 3Institute of Cognitive Neuroscience,

焦点功能: Topological Neuroscience Editorial: Topological Neuroscience Paul Expert1,2,3,4, Louis-David Lord5, Morten L. Kringelbach5,6, and Giovanni Petri7,8 1Department of Mathematics, Imperial College London, 伦敦, UK 2EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, 伦敦, UK 3Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, 伦敦, UK 4Global Digital Health Unit, School of Public Health, Faculty of Medicine, Imperial College London,

焦点功能: Bridging Scales and Levels Editorial: Bridging Scales and Levels Emma K. Towlson 1,2 and Fabrizio De Vico Fallani 3,4 1Center for Complex Network Research, Northeastern University, 波士顿, 嘛 02115, USA 2Media Laboratory, 麻省理工学院, 剑桥, 嘛 02139, USA 3Inria, Aramis project-team, F-75013, 巴黎, France Institut du Cerveau et de la Moelle épinière, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université,

焦点功能: New Trends in Connectomics Editorial: New Trends in Connectomics 1 Olaf Sporns and Danielle S. Bassett 2,3,4,5 1Department of Psychological and Brain Sciences, 印第安纳大学, 布卢明顿, 在, USA 2Department of Bioengineering, 宾夕法尼亚大学, 费城, PA, USA 3Department of Physics and Astronomy, 宾夕法尼亚大学, 费城, PA, USA 4Department of Neurology, Hospital of the University of Pennsylvania, 费城, PA, USA 5Department of Electrical

EDITORIAL The future of network neuroscience Olaf Sporns Department of Psychological and Brain Sciences, 印第安纳大学, Bloomington IN 47405 and Indiana University Network Science Institute, 印第安纳大学, Bloomington IN 47405 ABSTRACT Understanding the brain represents one of the most profound and pressing scientific challenges of the 21st century. As brain data have increased in volume and complexity, the tools and methods of network science have

Taran, N。, Farah, R。, Gashri, C。, Gitman, E., Rosch, K., 施拉加尔, B.L. & Horowitz-Kraus, 时间. (2023). Executive functions- based reading training engages the cingulo-opercular and dorsal attention networks. 网络神经科学, Advance publication. https://doi.org/10.1162/netn_a_00335. Executive functions-based reading training engages the cingulo- opercular and dorsal attention networks Short title: Executive functions-based reading training: neurobiological effect Nikolay Taran1, Rola Farah1, Carmel Gashri1, Ester Gitman1, Keri Rosch2,3, Bradley L.

歌曲, L。, Ren, Y。, Shuhan, X。, Hou, 是. & 他, X. (2023). A hybrid spatio-temporal deep belief network and sparse representation based framework reveals multi-level core functional components in decoding multi-task fMRI signals. 网络神经科学, Advance publication. https://doi.org/10.1162/netn_a_00334. 1 2 3 4 5 6 7 A Hybrid Spatio-Temporal Deep Belief Network and Sparse Representation-Based Framework Reveals Multi-Level Core Functional Components in Decoding Multi-Task fMRI Signals

Faber, S.E.M., Belden, A.G., Loui, P。, & McInsosh, 右. (2023). Age-related variability in network engagement during music listening. 网络神经科学, Advance publication. https://doi.org/10.1162/netn_a_00333. Age-related variability in network engagement during music listening Author List: Faber, S.1,2, Belden, A.G.3, Loui, P.3, & McIntosh, A.R.2 1University of Toronto 2Simon Fraser University 3Northeastern University 1 2 3 4 5 6 7 8 抽象的 9 Listening to music is an

RESEARCH Differential contributions of static and time-varying functional connectivity to human behavior Adam Eichenbaum 1∗, Ioannis Pappas 1∗, Daniel Lurie 2, Jessica R. Cohen3†, and Mark D’Esposito1,2† 1Helen Wills Neuroscience Institute, 加州大学, Berkeley 2Department of Psychology, 加州大学, Berkeley 3Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill ∗These authors contributed equally to this work. †These senior authors contributed

焦点功能: Network Communication in the Brain Multisensory integration in the mouse cortical connectome using a network diffusion model Kamal Shadi 1, Eva Dyer 2, and Constantine Dovrolis 1 1School of Computer Science, Georgia Institute of Technology, 亚特兰大, 遗传算法, USA 2Department of Biomedical Engineering, Georgia Institute of Technology, 亚特兰大, 遗传算法, USA a n o p e n a c c e s s j o

RESEARCH Coactivation pattern analysis reveals altered salience network dynamics in children with autism spectrum disorder Emily Marshall 1∗ , Jason S. Nomi 1∗ , Bryce Dirks1, Celia Romero1, Lauren Kupis1, Catie Chang2,3,4, and Lucina Q. Uddin1,5 1Department of Psychology, University of Miami, Coral Gables, FL, USA 2Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA 3Department of Biomedical Engineering, Vanderbilt University, Nashville,