CiteSeerX — Search Results — Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures
remains to be elucidated. Here, we used resting-state fNIRS and a graph-theoretical approach to systematically address TRT reliability as it applies to various features of human brain networks, including functional connectivity, global network metrics and regional nodal centrality metrics. Eighteen
Theoretical Analysis of Resting-State fMRI
by Disorder A Graph, Ming Ye, Tianliang Yang, Peng Qing, Xu Lei, Jiang Qiu, Guangyuan Liu
ORIGINAL ARTICLE Test–Retest Reliability of Graph Metrics in High-resolution Functional Connectomics: A Resting-State Functional MRI Study
by Ming-rui Xia , 2015
"... doi: 10.1111/cns.12431 ..."
doi: 10.1111/cns.12431
Graph Theoretical Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting- State Functional MRI Data
by Jin-hui Wang, Xi-nian Zuo, Suril Gohel, Michael P. Milham, Bharat B. Biswal, Yong He
"... Graph-based computational network analysis has proven a powerful tool to quantitatively characterize functional architectures of the brain. However, the test-retest (TRT) reliability of graph metrics of functional networks has not been systematically examined. Here, we investigated TRT reliability o ..."
Graph-based computational network analysis has proven a powerful tool to quantitatively characterize functional architectures of the brain. However, the test-retest (TRT) reliability of graph metrics of functional networks has not been systematically examined. Here, we investigated TRT reliability
CiteSeerX — Search Results — Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures
remains to be elucidated. Here, we used resting-state fNIRS and a graph-theoretical approach to systematically address TRT reliability as it applies to various features of human brain networks, including functional connectivity, global network metrics and regional nodal centrality metrics. Eighteen
Theoretical Analysis of Resting-State fMRI
by Disorder A Graph, Ming Ye, Tianliang Yang, Peng Qing, Xu Lei, Jiang Qiu, Guangyuan Liu
ORIGINAL ARTICLE Test–Retest Reliability of Graph Metrics in High-resolution Functional Connectomics: A Resting-State Functional MRI Study
by Ming-rui Xia , 2015
"... doi: 10.1111/cns.12431 ..."
doi: 10.1111/cns.12431
Graph Theoretical 
Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting- State Functional MRI Data
by Jin-hui Wang, Xi-nian Zuo, Suril Gohel, Michael P. Milham, Bharat B. Biswal, Yong He
"... Graph-based computational network analysis has proven a powerful tool to quantitatively characterize functional architectures of the brain. However, the test-retest (TRT) reliability of graph metrics of functional networks has not been systematically examined. Here, we investigated TRT reliability o ..."
Graph-based computational network analysis has proven a powerful tool to quantitatively characterize functional architectures of the brain. However, the test-retest (TRT) reliability of graph metrics of functional networks has not been systematically examined. Here, we investigated TRT reliability