Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures

By Urs Braun, M. Plichta, C. Esslinger, C. Sauer, Leila Haddad, Oliver Grimm, D. Mier, S. Mohnke, Andreas Heinz, Susanne Erk and 4 more. NeuroImage, 2012

442 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/15485046b9743eaabc10480beb5382cd8396759f

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Citations in the corpus

Proportional thresholding in resting‐state fMRI functional connectivity networks and consequences for patient‐control connectome studies: Issues and recommendations (2017, unknown): “Compared to absolute thresholding, proportional thresholding has been argued to reliably separate density from topological effects (Braun et al., 2012; Ginestet et al., 2011) and to result in more stable network metrics (Garrison et al.”
The effect of scan length on the reliability of resting-state fMRI connectivity estimates (2013, unknown): “In addition, recent test– 83 retest rs-fcMRI studies have examined the reliability of functional con- 84 nectivity for scans between 3 and 11 min in length (Braun et al., 2012; 85 Li et al., 2012; Shehzad et al., 2009; Thomason et al., 2011).”
Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature (2017, background): “Multiple studies have found evidence for limited test-retest reliability using a multitude of conventional rs-fcMRI network characteristics and analytic approaches (Braun et al., 2012; Wang et al., 2011; Wisner et al., 2013; Zuo et al., 2010; Zuo and Xing, 2014).”
Clinical applications of the functional connectome (2013, unknown): “…(intraclass correlation coefficients >0.5 and occasionally reaching ~0.9) of R-fMRI metrics has been confirmed in healthy adults by multiple groups (Braun et al., 2012; Chou et al., 2012; Faria et al., 2012; Fiecas et al., 2013; Kristo et al., 2012; Liang et al., 2012; Mannfolk et al., 2011;…”
The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features (2018, unknown): “In addition, the intra-class correlation coefficient (ICC) of the test-retest predicting scores was calculated for all algorithms (Braun et al., 2012; Shrout and Fleiss, 1979; Zhao et al., 2015).”
Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity (2012, unknown): “, 2011) and to some extent reproducible across scanning sessions (Braun et al., 2012; Cohen et al., 2008; Mannfolk et al., 2011; Meindl et al., 2010; Shehzad et al., 2009; Van Dijk et al., 2010; Wang et al., 2011; Zuo et al., 2010).”
GRETNA: a graph theoretical network analysis toolbox for imaging connectomics (2015, result): “This is consistent with numerous previous brain networks studies (Park et al., 2008; Bullmore and Sporns, 2009; He and Evans, 2010; Meunier et al., 2010; Braun et al., 2012; Liang et al., 2012).”
Cognitive Network Neuroscience (2015, background): “, 2011) and functional (Braun et al., 2012; Wang et al., 2011; Telesford et al., 2010; Deuker et al., 2009) brain”