Abstract #2979
Does multivariate pattern analysis (MVPA) of BOLD fMRI data benefit from higher resolution at 7T?
Hendrik Mandelkow 1 , Jacco A de Zwart 1 , and Jeff H Duyn 1
1
Advanced MRI, LFMI, NINDS, National
Institutes of Health, Bethesda, MD, United States
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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