Network-based statistic: Identifying differences in brain networks

By Andrew Zalesky, Alex Fornito, E. Bullmore. NeuroImage, 2010

2,655 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/8600a8d8067231b0b854f091b5ffe0eadeeb98e6

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In Cognitive Neuroscience

In Experimental and Cognitive Psychology

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Dynamic reconfiguration of human brain networks during learning (2010, methodology): “This could be done using statistical methods [58], machine-learning techniques [59], or a combination of the two [60].”
Brain graphs: graphical models of the human brain connectome. (2011, methodology): “An alternative approach may be to apply a preliminary statistical threshold to each edge and then test the null hypothesis at the level of suprathreshold clusters of interconnected edges (Zalesky et al. 2010a).”
Mathematical framework for large-scale brain network modeling in The Virtual Brain (2015, neutral): “If U v = 2 is coarsely divided, not only the connection topology changes (Zalesky et al., 2010a) but the shortest fiber length represented in K v = 2 .”
Structural connectomics in brain diseases (2013, positive): “It has been shown that the number of nodes affects various descriptive measures of the connectome topology, and particularly its extensively studied small-world properties (Romero-Garcia et al., 2012; Zalesky et al., 2010b).”
Aberrant Frontal and Temporal Complex Network Structure in Schizophrenia: A Graph Theoretical Analysis (2010, neutral): “Alternative correction methods have been suggested (Zalesky et al., 2010).”
An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI (2017, methodology): “To keep our analyses comparable with the wider literature examining pathophysiological mechanisms in mental health, we evaluated sensitivity to clinical group differences using the network-based statistic (NBS; Zalesky et al., 2010).”
Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI (2017, background): “2015b), graph theoretic analyses (Salvador et al. 2005; Supekar et al. 2008; Bullmore and Sporns 2009; Meunier et al. 2009; Guye et al. 2010; He and Evans 2010; Wang et al. 2010; Zalesky et al. 2010a; Fornito et al. 2013) or neural mass modeling (Ghosh et al.”