Does multivariate pattern analysis (MVPA) of BOLD fMRI data benefit from higher resolution at 7T?

Information-theoretic approaches to BOLD fMRI analysis, like multivariate pattern analysis (MVPA), suggest that distinctive local patterns of BOLD signal on a spatial scale of millimetres carry information that allows the classification or decoding of perceptual stimuli. In this study high-resolution BOLD fMRI experiments at 7T indicate that the single-trial discriminability of naturalistic movie stimuli peaks at a spatial resolution of 2-3mm, well above the resolution limit for BOLD fMRI, but below the resolution of most fMRI experiments.

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