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Decoding the perception of pain from fMRI using multivariate pattern analysis
2012
NeuroImage
Pain is known to comprise sensory, cognitive, and affective aspects. Despite numerous previous fMRI studies, however, it remains open which spatial distribution of activity is sufficient to encode whether a stimulus is perceived as painful or not. In this study, we analyzed fMRI data from a perceptual decision-making task in which participants were exposed to near-threshold laser pulses. Using multivariate analyses on different spatial scales, we investigated the predictive capacity of fMRI
doi:10.1016/j.neuroimage.2012.08.035
pmid:22922369
pmcid:PMC3532598
fatcat:ab4zbd6affdsvdhxtfe5ece3eu