2014
DOI: 10.48550/arxiv.1410.7959
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A novel brain partition highlights the modular skeleton shared by structure and function

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Cited by 4 publications
(6 citation statements)
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“…We have shown in (Diez et al, 2015a) that the relationship between SC and FC found with the data used in this study is confirmed by the MGH-USC Human Connectome Project, of much higher quality. The results we show here open the possibility to a generalization to many other data sets.…”
Section: Same-subject Structure-function Acquisitionssupporting
confidence: 78%
“…We have shown in (Diez et al, 2015a) that the relationship between SC and FC found with the data used in this study is confirmed by the MGH-USC Human Connectome Project, of much higher quality. The results we show here open the possibility to a generalization to many other data sets.…”
Section: Same-subject Structure-function Acquisitionssupporting
confidence: 78%
“…Alternatively, we follow here another and more efficient strategy that consists in establishing a comparison at a modular or community level. [18]. In particular, using a standard algorithm [19,20], modules are identified for either structural and/or functional matrices, and this is followed by a comparison of two types of networks by using the obtained partition into modules.…”
Section: Introductionmentioning
confidence: 99%
“…In this way, we achieved a common structural organization of the modules, which was used as a template to reorder all the functional matrices. As found previously [12], this is a very convenient strategy to highlight the similarities and differences between both types of networks at a "mesoscopic" level.…”
Section: Structural Modules Used As a Template For Reordering Dfcmentioning
confidence: 80%
“…The relationship between the temporally-invariant SC and the highly temporal-sensitive DFC can be assessed by comparing the two graphs at the level of individual links, a strategy which requires -for symmetrical matrices- 2 ∕2 comparisons (where  is the number of nodes in the network). Alternatively, here we follow another and more efficient strategy that involves establishing a comparison at a modular or community level [12]. In particular, using a standard algorithm for community detection [13,14], modules can be identified from either structural and/or functional matrices, and the two types of networks are then compared using the same module-representation for the two classes of networks.…”
Section: Introductionmentioning
confidence: 99%