Increased sensitivity in neuroimaging analyses using robust regression

By Tor D. Wager, Matthew C. Keller, Steven C. Lacey, John Jonides. NeuroImage, 2005

310 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9deecbb438b95461c5410dd458c9014a789e4866

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Citations in the corpus

The Neural Bases of Distraction and Reappraisal (2010, unknown): “To determine whether activations in different regions of the brain could be predicted by each individualʼs drop in self-reported negative affect, we conducted whole-brain robust regression analyses (that are especially resistant to outliers; Wager, Keller, Lacey, & Jonides, 2005 ).”
Prefrontal–striatal pathway underlies cognitive regulation of craving (2010, methodology): “Such robust procedures are therefore particularly resistant to outliers (56) and have been used previously with fMRI data (36, 57).”
The functional anatomy of the MMN: A DCM study of the roving paradigm (2008, methodology): “It is an iterative algorithm that produces the best estimate of the average by weighting data points as a function of their distance from estimate of the mean for each iteration (cf. Wager et al., 2005).”
Cognitive Neuroscience Approaches to Individual Differences in Working Memory and Executive Control: Conceptual and Methodological Issues (2010, background): “One such approach is statistical mediation analysis, which indicates whether a set of correlations between variables A, B, and C is consistent with a causal model postulating that the effect of variable A on variable C is at least partly explained through the mediating role of variable B…”
Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses (2007, unknown): “Robust statistics might also be used for inference (Wager et al., 2005), but at the risk of a weaker control on specificity.”
Prefrontal-subcortical pathways mediating successful emotion regulation. (2008, unknown): “ysis ( Wager et al., 2005 ) to localize regions activated during reappraisal and regions in which activity correlated with reappraisal success.”
Robust group analysis using outlier inference (2008, unknown): “(2007) demonstrated how such a model can be more sensitive to underlying signal than the Bisquare estimation procedure (Wager et al., 2005).”
EEG and MEG Data Analysis in SPM8 (2011, background): “This is a rather simple case of robust general linear modelling [68].”