A General Statistical Analysis for fMRI Data

By Keith J. Worsley, C. Liao, M. Grabove, V. Petre, Alan C. Evans. NeuroImage, 2000

730 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/980a9e9154b58d0b2d93d3d1c61edb103ce83e65

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Interactions between auditory and dorsal premotor cortex during synchronization to musical rhythms (2006, methodology): “Statistical analysis of fMRI data was based on a linear model performed using an in-house tool called fMRISTAT that involves a set of four MATLAB functions (Worsley et al., 2002; available at www.math.mcgill.ca/keith/fmristat).”
Motion correction and the use of motion covariates in multiple‐subject fMRI analysis (2006, neutral): “Key words: fMRI; motion correction; analysis; event-related design; block design; covariates”
Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces (2007, methodology): “The bias can also be expected to be small, as shown in [17], and it can be corrected for using a method presented in [27].”
Statistical analysis of activation images (2001, methodology): “Worsley et al. (2000) gives a simple method of correcting this.”
Mixed-effects modeling with crossed random effects for subjects and items (2008, positive): “…models in neuroimaging In neuroimaging, two-level or mixed effects models are now a standard analysis technique (Friston et al., 2002a, 2002b; Worsley et al., 2002), and are used in conjunction with Gaussian Random Field theory to make inferences about activity patterns in very large data…”
Congruent embodied representations for visually presented actions and linguistic phrases describing actions. (2006, methodology): “Statistical analysis was performed with the FMRISTAT toolbox [36].”
Patient-specific detection of perfusion abnormalities combining within-subject and between-subject variances in Arterial Spin Labeling (2013, background): “Several authors outlined the beneﬁts of heteroscedastic models including (Worsley et al., 2002; Beckmann et al., 2003; Wool-rich et al., 2004; Mumford et al., 2006; M´eriaux et al., 2006; Thirion et al., 2007; Chen et al., 2012).”
Syntactic and Semantic Modulation of Neural Activity during Auditory Sentence Comprehension (2006, neutral): “First, the statistical images were thresholded at an uncorrected p value of .01, contiguous clusters were identified, and the clusters were then thresholded based on spatial extent (Worsley et al., 2002).”
Violation of Expectation: Neural Correlates Reflect Bases of Prediction (2008, neutral): “In the second stage, the linear model was re-estimated using least squares on the whitened data to produce estimates of effects and their standard errors (Worsley et al., 2002).”
A Bayesian spatiotemporal model for very large data sets (2010, neutral): “It has long been known that AR processes depend on position in the brain (Bullmore et al., 1996; Penny et al., 2003; Woolrich et al., 2001; Worsley et al., 2002).”