Network diffusion accurately models the relationship between structural and functional brain connectivity networks.
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Multi-scale integration and predictability in resting state brain activityBrain Networks and Cognitive ArchitecturesUnderstanding structural-functional relationships in the human brain: a large-scale network perspective.Brain network eigenmodes provide a robust and compact representation of the structural connectome in health and diseaseOptimal trajectories of brain state transitions.A network convergence zone in the hippocampus.Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network ModelsAnalytical Operations Relate Structural and Functional Connectivity in the Brain.BRAIN NETWORKS. Correlated gene expression supports synchronous activity in brain networks.Optimally controlling the human connectome: the role of network topologyCerebral cartography and connectomics.Disconnection and hyper-connectivity underlie reorganization after TBI: A rodent functional connectomic analysis.Network Analysis on Predicting Mean Diffusivity Change at Group Level in Temporal Lobe Epilepsy.Path ensembles and a tradeoff between communication efficiency and resilience in the human connectome.A Mapping Between Structural and Functional Brain Networks.Connectivity, not region-intrinsic properties, predicts regional vulnerability to progressive tau pathology in mouse models of diseaseThe application of a mathematical model linking structural and functional connectomes in severe brain injury.Localizing Sources of Brain Disease Progression with Network Diffusion Model.Driving the brain towards creativity and intelligence: A network control theory analysis.Synchronization patterns: from network motifs to hierarchical networks.Communication dynamics in complex brain networks.The morphometric co-atrophy networking of schizophrenia, autistic and obsessive spectrum disorders.Tau burden and the functional connectome in Alzheimer's disease and progressive supranuclear palsy.How structure sculpts function: Unveiling the contribution of anatomical connectivity to the brain's spontaneous correlation structure.Multiple Kernel Learning Model for Relating Structural and Functional Connectivity in the Brain.Functional brain connectivity is predictable from anatomic network's Laplacian eigen-structure.Function-specific and Enhanced Brain Structural Connectivity Mapping via Joint Modeling of Diffusion and Functional MRI.Specificity and robustness of long-distance connections in weighted, interareal connectomes.Navigation of brain networks.Optimized connectome architecture for sensory-motor integrationMultimodal Fusion of Brain Networks with Longitudinal CouplingsHomeostatic plasticity and emergence of functional networks in a whole-brain model at criticality
P2860
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P2860
Network diffusion accurately models the relationship between structural and functional brain connectivity networks.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
2013年學術文章
@zh
2013年學術文章
@zh-hant
name
Network diffusion accurately m ...... l brain connectivity networks.
@en
type
label
Network diffusion accurately m ...... l brain connectivity networks.
@en
prefLabel
Network diffusion accurately m ...... l brain connectivity networks.
@en
P2093
P2860
P1433
P1476
Network diffusion accurately m ...... l brain connectivity networks.
@en
P2093
Ashish Raj
Farras Abdelnour
Henning U Voss
P2860
P304
P356
10.1016/J.NEUROIMAGE.2013.12.039
P407
P577
2013-12-30T00:00:00Z