2015
DOI: 10.1016/j.jneumeth.2015.06.016
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The influence of construction methodology on structural brain network measures: A review

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Cited by 90 publications
(74 citation statements)
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“…Connections were then combined into 76 × 76 undirected and weighted matrices. As there is no consensus in the literature regarding the optimal graph thresholding strategy (51) and results can vary widely based on the chosen approach (52), SIFT2 was our preferred method of bias correction. Indeed, the creators of SIFT2 argue against the use of graph theory thresholding, as it introduces an arbitrary threshold value (53).…”
Section: Methodsmentioning
confidence: 99%
“…Connections were then combined into 76 × 76 undirected and weighted matrices. As there is no consensus in the literature regarding the optimal graph thresholding strategy (51) and results can vary widely based on the chosen approach (52), SIFT2 was our preferred method of bias correction. Indeed, the creators of SIFT2 argue against the use of graph theory thresholding, as it introduces an arbitrary threshold value (53).…”
Section: Methodsmentioning
confidence: 99%
“…Material analysis is also an important application domain of the CBMIA methods, including food microstructure analysis (Ding and Gunasekaran 1998), collagen fiber analysis (Elbischger et al 2004), metallography image analysis (Grzegorzek 2010), membranes porosity evaluation (Chwojnowski et al 2012), cement quality analysis (Wang et al 2014) and so on. Furthermore, because medial image analysis needs to solve many similar technical problems as the CBMIA tasks , it can also share a lot of research strategies from the CBMIA field and extend them to related application tasks, like cerebral cortical analysis (Suri et al 2002), MRI image analysis (Balafar et al 2010a, b), retinal vessel analysis ), brain network analysis (Qi et al 2015(Qi et al , 2016 and so on. Besides the image analysis in the above scientific fields, we can even extend the CBMIA methods into the daily life image analysis domain, like text detection , video and film analysis (Shirahama et al 2013;Xu 2016), and so on.…”
Section: Potential Application Fields Of Cbmia Methodologymentioning
confidence: 99%
“…The effect of different parameters on network construction is gaining attention ([8,9,10,11,12,13], see [14] for review) because there is currently no universally-accepted standard set of parameters. As a result, most published studies use different methods to construct networks from diffusion MRI data.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, most published studies use different methods to construct networks from diffusion MRI data. One important choice in constructing a whole-brain structural network is how to define the nodes of the network (see [14,15] for review). The number of nodes, how they are defined (e.g., which atlas, if any, is used), and how they are used in the construction of the network have been shown to affect network properties such as small-worldness [8] and hub identity [9].…”
Section: Introductionmentioning
confidence: 99%