2013
An exploration of graph metric reproducibility in complex brain networks
Abstract: The application of graph theory to brain networks has become increasingly popular in the neuroimaging community. These investigations and analyses have led to a greater understanding of the brain's complex organization. More importantly, it has become a useful tool for studying the brain under various states and conditions. With the ever expanding popularity of network science in the neuroimaging community, there is increasing interest to validate the measurements and calculations derived from brain networks. …
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Cited by 42 publications
(38 citation statements)
References 47 publications
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“…More generally, different frequency bands interact between them in a way that is dependent on the subject, thus with high inter-subject variability. These results are aligned with previous findings, in which MEG studies report a low reproducibility for resting states in test-retest experiments37,38 .IV. FINDING A SYSTEM'S NATURAL FREQUENCY: NETWORKSELF-CORRELATIONS AND CORRELOGRAMSIf a set of networks represents the evolution of the connectivity of a system through time, the parallelism with time series analysis can be pushed one step further by defining the equivalent of a network auto-correlation function.…”
supporting
confidence: 92%
“…More generally, different frequency bands interact between them in a way that is dependent on the subject, thus with high inter-subject variability. These results are aligned with previous findings, in which MEG studies report a low reproducibility for resting states in test-retest experiments37,38 .IV. FINDING A SYSTEM'S NATURAL FREQUENCY: NETWORKSELF-CORRELATIONS AND CORRELOGRAMSIf a set of networks represents the evolution of the connectivity of a system through time, the parallelism with time series analysis can be pushed one step further by defining the equivalent of a network auto-correlation function.…”
supporting
confidence: 92%
“…Also, global measures of node centrality showed decreased connectivity (K) and nodal integration (CC) in bvFTD. However, such results were more diverse at node level across countries, confirming that graph measures are less reliable when considering this unit (Telesford et al, ). Yet, temporal and frontal regions consistently presented less interconnected and integrated nodes in all patients.…”
Section: Discussionmentioning
confidence: 91%
“…For instance, epilepsy has been associated to both decreased [ 108] and increased [ 109] path length with respect to normal control groups. However, studies analysing the reproducibility of network parameters are scarce and no clear picture emerges in this respect [110][111][112], partly as a result of the lack of understanding of intrinsic brain response consistency [ 113], and adaptation, and their role in shaping network topology.…”
Section: (E) Evaluating Results (I) Discriminating Important Featuresmentioning
confidence: 99%
