A Framework to Control Functional Connectivity in the Human Brain
暂无分享,去创建一个
[1] Elena Panteley,et al. Desynchronization and inhibition of Kuramoto oscillators by scalar mean-field feedback , 2012, Mathematics of Control, Signals, and Systems.
[2] Karl J. Friston,et al. Nonlinear Responses in fMRI: The Balloon Model, Volterra Kernels, and Other Hemodynamics , 2000, NeuroImage.
[3] Ming Cao,et al. Stability of Remote Synchronization in Star Networks of Kuramoto Oscillators , 2018, 2018 IEEE Conference on Decision and Control (CDC).
[4] Karl J. Friston,et al. Dynamic causal modelling , 2003, NeuroImage.
[5] Mark Rijpkema,et al. Default Mode Network Connectivity in Stroke Patients , 2013, PloS one.
[6] Olaf Sporns,et al. Network structure of cerebral cortex shapes functional connectivity on multiple time scales , 2007, Proceedings of the National Academy of Sciences.
[7] Giacomo Baggio,et al. Exact and Approximate Stability Conditions for Cluster Synchronization of Kuramoto Oscillators , 2019, 2019 American Control Conference (ACC).
[8] Francesco Sorrentino,et al. Cluster synchronization and isolated desynchronization in complex networks with symmetries , 2013, Nature Communications.
[9] M. Fox,et al. The global signal and observed anticorrelated resting state brain networks. , 2009, Journal of neurophysiology.
[10] Edward T. Bullmore,et al. On the use of correlation as a measure of network connectivity , 2012, NeuroImage.
[11] P. Olver. Nonlinear Systems , 2013 .
[12] Jorge Cortés,et al. Oscillations and Coupling in Interconnections of Two-Dimensional Brain Networks , 2019, 2019 American Control Conference (ACC).
[13] John (Sam) Keltner,et al. Facilitation , 1989, Abécédaire de la philosophie pour enfants.
[14] Fabio Pasqualetti,et al. The Structured Controllability Radius of Symmetric (Brain) Networks , 2018, 2018 Annual American Control Conference (ACC).
[15] R. Dykstra,et al. A Method for Finding Projections onto the Intersection of Convex Sets in Hilbert Spaces , 1986 .
[16] O. Sporns,et al. Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.
[17] Carl D. Hacker,et al. Frequency-specific electrophysiologic correlates of resting state fMRI networks , 2017, NeuroImage.
[18] Ming Cao,et al. Partial Phase Cohesiveness in Networks of Communitinized Kuramoto Oscillators , 2018, 2018 European Control Conference (ECC).
[19] M. Nitsche,et al. Studying and modifying brain function with non-invasive brain stimulation , 2018, Nature Neuroscience.
[20] Giacomo Baggio,et al. Stability Conditions for Cluster Synchronization in Networks of Heterogeneous Kuramoto Oscillators , 2018, IEEE Transactions on Control of Network Systems.
[21] Gustavo Deco,et al. Role of local network oscillations in resting-state functional connectivity , 2011, NeuroImage.
[22] A. Thomson. Facilitation, augmentation and potentiation at central synapses , 2000, Trends in Neurosciences.
[23] Fabio Pasqualetti,et al. Structural Controllability of Symmetric Networks , 2019, IEEE Transactions on Automatic Control.
[24] Jean M. Vettel,et al. Controllability of structural brain networks , 2014, Nature Communications.
[25] J. Gold,et al. On the nature and use of models in network neuroscience , 2018, Nature Reviews Neuroscience.
[26] Florian Dörfler,et al. Synchronization in complex networks of phase oscillators: A survey , 2014, Autom..
[27] Fabio Pasqualetti,et al. Cluster Synchronization in Networks of Kuramoto Oscillators , 2017 .
[28] Brian Litt,et al. White Matter Network Architecture Guides Direct Electrical Stimulation through Optimal State Transitions , 2018, bioRxiv.
[29] Karl Henrik Johansson,et al. Synchronization of Kuramoto Oscillators in a Bidirectional Frequency-Dependent Tree Network , 2018, 2018 IEEE Conference on Decision and Control (CDC).
[30] Danielle S Bassett,et al. Spectral mapping of brain functional connectivity from diffusion imaging , 2018, Scientific Reports.
[31] E. Bennett,et al. CHEMICAL AND ANATOMICAL PLASTICITY BRAIN. , 1964, Science.
[32] Peter A. Tass,et al. A model of desynchronizing deep brain stimulation with a demand-controlled coordinated reset of neural subpopulations , 2003, Biological Cybernetics.
[33] Yong He,et al. BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics , 2013, PloS one.
[34] M. Corbetta,et al. Electrophysiological signatures of resting state networks in the human brain , 2007, Proceedings of the National Academy of Sciences.
[35] M. V. D. Heuvel,et al. Exploring the brain network: A review on resting-state fMRI functional connectivity , 2010, European Neuropsychopharmacology.
[36] Timothy O. Laumann,et al. Functional Network Organization of the Human Brain , 2011, Neuron.
[37] E. Bennett,et al. Chemical and Anatomical Plasticity of Brain Changes in brain through experience, demanded by learning theories, are found in experiments with rats , 1964 .
[38] M. P. van den Heuvel,et al. Exploring the brain network: a review on resting-state fMRI functional connectivity. , 2010, European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology.
[39] M. Bear,et al. Hebbian synapses in visual cortex , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[40] Mario Innocenti,et al. Synchronization patterns in networks of Kuramoto oscillators: A geometric approach for analysis and control , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).
[41] H. Berger. Über das Elektrenkephalogramm des Menschen , 1938, Archiv für Psychiatrie und Nervenkrankheiten.
[42] O. Sporns,et al. Key role of coupling, delay, and noise in resting brain fluctuations , 2009, Proceedings of the National Academy of Sciences.
[43] Danna Zhou,et al. d. , 1934, Microbial pathogenesis.