Tractography-based priors for dynamic causal models
暂无分享,去创建一个
Karl J. Friston | Klaas E. Stephan | Thomas R. Knösche | Rosalyn J. Moran | Marc Tittgemeyer | M. Tittgemeyer | K. Stephan | R. Moran | T. Knösche
[1] A. Anwander,et al. Connectivity-Based Parcellation of Broca's Area. , 2006, Cerebral cortex.
[2] Timothy Edward John Behrens,et al. A Bayesian framework for global tractography , 2007, NeuroImage.
[3] Desmond J. Higham,et al. Connectivity-based parcellation of human cortex using diffusion MRI: Establishing reproducibility, validity and observer independence in BA 44/45 and SMA/pre-SMA , 2007, NeuroImage.
[4] S. Mori,et al. Principles of Diffusion Tensor Imaging and Its Applications to Basic Neuroscience Research , 2006, Neuron.
[5] Karl J. Friston,et al. Nonlinear Dynamic Causal Models for Fmri Nonlinear Dynamic Causal Models for Fmri Nonlinear Dynamic Causal Models for Fmri , 2022 .
[6] Mark Jenkinson,et al. A consistent relationship between local white matter architecture and functional specialisation in medial frontal cortex , 2006, NeuroImage.
[7] Viktor K. Jirsa,et al. Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire , 2008, PLoS Comput. Biol..
[8] Karl J. Friston,et al. Comparing dynamic causal models , 2004, NeuroImage.
[9] Thomas R. Knösche,et al. Variational inference of the fiber orientation density using diffusion MR imaging , 2008, NeuroImage.
[10] Klaas E. Stephan,et al. The anatomical basis of functional localization in the cortex , 2002, Nature Reviews Neuroscience.
[11] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[12] Larry W. Swanson,et al. Brain architecture management system , 2007, Neuroinformatics.
[13] Timothy Edward John Behrens,et al. Functional-anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus. , 2005, Cerebral cortex.
[14] Karl J. Friston,et al. Variational free energy and the Laplace approximation , 2007, NeuroImage.
[15] Anthony Randal McIntosh,et al. Towards a network theory of cognition , 2000, Neural Networks.
[16] A. Anwander,et al. The brain differentiates human and non-human grammars: Functional localization and structural connectivity , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[17] Karl J. Friston. Functional and effective connectivity in neuroimaging: A synthesis , 1994 .
[18] Viktor K. Jirsa,et al. Connectivity and dynamics of neural information processing , 2007, Neuroinformatics.
[19] W. Senn,et al. Top-down dendritic input increases the gain of layer 5 pyramidal neurons. , 2004, Cerebral cortex.
[20] Karl J. Friston,et al. Bayesian model selection for group studies , 2009, NeuroImage.
[21] Daniel C Alexander,et al. Multiple‐Fiber Reconstruction Algorithms for Diffusion MRI , 2005, Annals of the New York Academy of Sciences.
[22] Karl J. Friston,et al. Dynamic causal modeling , 2010, Scholarpedia.
[23] M. Young,et al. Computational analysis of functional connectivity between areas of primate cerebral cortex. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[24] M. Horsfield,et al. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging , 1999, Magnetic resonance in medicine.
[25] Karl J. Friston,et al. Comparing hemodynamic models with DCM , 2007, NeuroImage.
[26] M. Young,et al. Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac). , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[27] D. Le Bihan. Looking into the functional architecture of the brain with diffusion MRI , 2003, Nature reviews. Neuroscience.
[28] Karl J. Friston,et al. Interhemispheric Integration of Visual Processing during Task-Driven Lateralization , 2007, The Journal of Neuroscience.
[29] Timothy Edward John Behrens,et al. Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[30] Michael I. Jordan. Learning in Graphical Models , 1999, NATO ASI Series.
[31] Karl J. Friston,et al. Dynamic causal modelling , 2003, NeuroImage.
[32] T. Sejnowski,et al. Book Review: Gain Modulation in the Central Nervous System: Where Behavior, Neurophysiology, and Computation Meet , 2001, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[33] B. Horwitz,et al. Integrating electrophysiological and anatomical experimental data to create a large-scale model that simulates a delayed match-to-sample human brain imaging study. , 1998, Cerebral cortex.
[34] Malcolm P. Young,et al. Objective analysis of the topological organization of the primate cortical visual system , 1992, Nature.
[35] Olaf Sporns,et al. Network structure of cerebral cortex shapes functional connectivity on multiple time scales , 2007, Proceedings of the National Academy of Sciences.
[36] W. Regehr,et al. Short-term synaptic plasticity. , 2002, Annual review of physiology.
[37] Timothy Edward John Behrens,et al. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging , 2003, Magnetic resonance in medicine.
[38] Karl J. Friston,et al. Characterizing modulatory interactions between areas V1 and V2 in human cortex: A new treatment of functional MRI data , 1994 .
[39] Karl J. Friston,et al. PHRENOLOGY : What Can Neuroimaging Tell Us About Distributed Circuitry ? , 2005 .
[40] G Tononi,et al. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. , 2000, Cerebral cortex.
[41] Karl J. Friston,et al. Bayesian Estimation of Dynamical Systems: An Application to fMRI , 2002, NeuroImage.
[42] Geoffrey E. Hinton,et al. A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants , 1998, Learning in Graphical Models.
[43] S. Strogatz. Exploring complex networks , 2001, Nature.
[44] V. Wedeen,et al. Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo , 2003, Magnetic resonance in medicine.
[45] M P Young,et al. Indeterminate Organization of the Visual System , 1996, Science.
[46] J. Montgomery,et al. Discrete synaptic states define a major mechanism of synapse plasticity , 2004, Trends in Neurosciences.
[47] H Preißl,et al. Dynamics of activity and connectivity in physiological neuronal networks , 1991 .
[48] Timothy Edward John Behrens,et al. Diffusion-Weighted Imaging Tractography-Based Parcellation of the Human Lateral Premotor Cortex Identifies Dorsal and Ventral Subregions with Anatomical and Functional Specializations , 2007, The Journal of Neuroscience.
[49] Tony O’Hagan. Bayes factors , 2006 .
[50] I. J. Myung,et al. When a good fit can be bad , 2002, Trends in Cognitive Sciences.
[51] G. Edelman,et al. Theoretical neuroanatomy and the connectivity of the cerebral cortex , 2002, Behavioural Brain Research.
[52] Wim Vanduffel,et al. Q-ball imaging of macaque white matter architecture , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[53] Karl J. Friston,et al. Nonlinear Responses in fMRI: The Balloon Model, Volterra Kernels, and Other Hemodynamics , 2000, NeuroImage.
[54] Daniel C. Alexander,et al. Probabilistic Monte Carlo Based Mapping of Cerebral Connections Utilising Whole-Brain Crossing Fibre Information , 2003, IPMI.
[55] Gustavo Deco,et al. The Brain Connectivity Workshops: Moving the frontiers of computational systems neuroscience , 2008, NeuroImage.
[56] R. Malenka,et al. Synaptic Plasticity: Multiple Forms, Functions, and Mechanisms , 2008, Neuropsychopharmacology.
[57] O. Sporns,et al. Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.
[58] Thomas R. Knösche,et al. Parametric spherical deconvolution: Inferring anatomical connectivity using diffusion MR imaging , 2007, NeuroImage.
[59] J. Kao,et al. Long-term potentiation of exogenous glutamate responses at single dendritic spines. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[60] M P Young,et al. Anatomical connectivity defines the organization of clusters of cortical areas in the macaque monkey and the cat. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[61] David G. Norris,et al. An Investigation of Functional and Anatomical Connectivity Using Magnetic Resonance Imaging , 2002, NeuroImage.
[62] P. Schwindt,et al. Amplification of synaptic current by persistent sodium conductance in apical dendrite of neocortical neurons. , 1995, Journal of neurophysiology.
[63] A. McIntosh,et al. Structural modeling of functional neural pathways mapped with 2-deoxyglucose: effects of acoustic startle habituation on the auditory system , 1991, Brain Research.
[64] V. Piëch,et al. Subunit-specific temporal and spatial patterns of AMPA receptor exocytosis in hippocampal neurons , 2001, Nature Neuroscience.
[65] R. Passingham,et al. Initial Demonstration of in Vivo Tracing of Axonal Projections in the Macaque Brain and Comparison with the Human Brain Using Diffusion Tensor Imaging and Fast Marching Tractography , 2002, NeuroImage.
[66] M. A. O'Neil,et al. The connectional organization of the cortico-thalamic system of the cat. , 1999, Cerebral cortex.
[67] Klaas E. Stephan,et al. Network participation indices: characterizing component roles for information processing in neural networks , 2003, Neural Networks.
[68] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[69] M P Young,et al. Analysis of the connectional organization of neural systems associated with the hippocampus in rats. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[70] K. E. Stephan,et al. Multimodal characterisation of cortical areas by multivariate analyses of receptor binding and connectivity data , 2001, Anatomy and Embryology.