about
The topology of large Open Connectome networks for the human brain.Evidence for hubs in human functional brain networks.Network analysis of human fMRI data suggests modular restructuring after simulated acquired brain injury.Network science and the human brain: Using graph theory to understand the brain and one of its hubs, the amygdala, in health and disease.The dynamic functional core network of the human brain at rest.Exponential random graph modeling for complex brain networks.Functional brain networks formed using cross-sample entropy are scale freeHuman connectomics.Stochastic geometric network models for groups of functional and structural connectomes.The brain as a complex system: using network science as a tool for understanding the brain.Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain(*†)Cognitive dysfunction in early multiple sclerosis: altered centrality derived from resting-state functional connectivity using magneto-encephalography.Consistency of network modules in resting-state FMRI connectome data.Granger causality analysis reveals distinct spatio-temporal connectivity patterns in motor and perceptual visuo-spatial working memoryThe human functional brain network demonstrates structural and dynamical resilience to targeted attackClinical correlates of graph theory findings in temporal lobe epilepsy.C-element: a new clustering algorithm to find high quality functional modules in PPI networksMapping the voxel-wise effective connectome in resting state FMRIChanges in cognitive state alter human functional brain networks.White matter integrity supports BOLD signal variability and cognitive performance in the aging human brain.An exponential random graph modeling approach to creating group-based representative whole-brain connectivity networksComplexity in a brain-inspired agent-based modelStructural and functional connectional fingerprints in mild cognitive impairment and Alzheimer's disease patients.Functional properties of resting state networks in healthy full-term newbornsThe intrinsic connectome of the rat amygdala.Scaling in topological properties of brain networksChildhood maltreatment is associated with a sex-dependent functional reorganization of a brain inhibitory control networkGlobal brain connectivity alterations in patients with schizophrenia and bipolar spectrum disorders.A permutation testing framework to compare groups of brain networks.Functional connectivity networks with and without global signal correction.Diminished default mode network recruitment of the hippocampus and parahippocampus in temporal lobe epilepsy.Graph analysis of functional brain networks: practical issues in translational neuroscience.Path ensembles and a tradeoff between communication efficiency and resilience in the human connectome.A genetic algorithm for controlling an agent-based model of the functional human brainIntrinsic functional connectivity in late-life depression: trajectories over the course of pharmacotherapy in remitters and non-remitters.Voxelwise eigenvector centrality mapping of the human functional connectome reveals an influence of the catechol-O-methyltransferase val158met polymorphism on the default mode and somatomotor network.Sub-hubs of baseline functional brain networks are related to early improvement following two-week pharmacological therapy for major depressive disorder.A new closeness centrality measure via effective distance in complex networks.Changes in global and regional modularity associated with increasing working memory load.Functional brain networks: great expectations, hard times and the big leap forward.
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
A new measure of centrality for brain networks
@ast
A new measure of centrality for brain networks
@en
type
label
A new measure of centrality for brain networks
@ast
A new measure of centrality for brain networks
@en
prefLabel
A new measure of centrality for brain networks
@ast
A new measure of centrality for brain networks
@en
P2093
P2860
P1433
P1476
A new measure of centrality for brain networks
@en
P2093
Jonathan H Burdette
Karen E Joyce
Paul J Laurienti
Satoru Hayasaka
P2860
P304
P356
10.1371/JOURNAL.PONE.0012200
P407
P577
2010-08-16T00:00:00Z