Contribution of large scale biases in decoding of direction-of-motion from high-resolution fMRI data in human early visual cortex.

Previous studies have demonstrated that the perceived direction of motion of a visual stimulus can be decoded from the pattern of functional magnetic resonance imaging (fMRI) responses in occipital cortex using multivariate analysis methods (Kamitani and Tong, 2006). One possible mechanism for this is a difference in the sampling of direction selective cortical columns between voxels, implying that information at a level smaller than the voxel size might be accessible with fMRI. Alternatively, multivariate analysis methods might be driven by the organization of neurons into clusters or even orderly maps at a much larger scale. To assess the possible sources of the direction selectivity observed in fMRI data, we tested how classification accuracy varied across different visual areas and subsets of voxels for classification of motion-direction. To enable high spatial resolution functional MRI measurements (1.5mm isotropic voxels), data were collected at 7T. To test whether information about the direction of motion is represented at the scale of retinotopic maps, we looked at classification performance after combining data across different voxels within visual areas (V1-3 and MT+/V5) before training the multivariate classifier. A recent study has shown that orientation biases in V1 are both necessary and sufficient to explain classification of stimulus orientation (Freeman et al., 2011). Here, we combined voxels with similar visual field preference as determined in separate retinotopy measurements and observed that classification accuracy was preserved when averaging in this 'retinotopically restricted' way, compared to random averaging of voxels. This insensitivity to averaging of voxels (with similar visual angle preference) across substantial distances in cortical space suggests that there are large-scale biases at the level of retinotopic maps underlying our ability to classify direction of motion.

Mapping human somatosensory cortex in individual subjects with 7T functional MRI.

Functional magnetic resonance imaging (fMRI) is now routinely used to map the topographic organization of human visual cortex. Mapping the detailed topography of somatosensory cortex, however, has proven to be more difficult. Here we used the increased blood-oxygen-level-dependent contrast-to-noise ratio at ultra-high field (7 Tesla) to measure the topographic representation of the digits in human somatosensory cortex at 1 mm isotropic resolution in individual subjects. A "traveling wave" paradigm was used to locate regions of cortex responding to periodic tactile stimulation of each distal phalangeal digit. Tactile stimulation was applied sequentially to each digit of the left hand from thumb to little finger (and in the reverse order). In all subjects, we found an orderly map of the digits on the posterior bank of the central sulcus (postcentral gyrus). Additionally, we measured event-related responses to brief stimuli for comparison with the topographic mapping data and related the fMRI responses to anatomical images obtained with an inversion-recovery sequence. Our results have important implications for the study of human somatosensory cortex and underscore the practical utility of ultra-high field functional imaging with 1 mm isotropic resolution for neuroscience experiments. First, topographic mapping of somatosensory cortex can be achieved in 20 min, allowing time for further experiments in the same session. Second, the maps are of sufficiently high resolution to resolve the representations of all five digits and third, the measurements are robust and can be made in an individual subject. These combined advantages will allow somatotopic fMRI to be used to measure the representation of digits in patients undergoing rehabilitation or plastic changes after peripheral nerve damage as well as tracking changes in normal subjects undergoing perceptual learning.

Ambiguity in the perception of moving stimuli is resolved in favour of the cardinal axes.

The aim of this study was to determine whether there is a link between the statistical properties of natural scenes and our perception of moving surfaces. Accordingly, we devised an ambiguous moving stimulus that could be perceived as moving in one of three directions of motion. The stimulus was a circular patch containing three square-wave drifting gratings. One grating was always either horizontal or vertical; the other two had component directions of drift at 120 degrees to the first (and to each other), producing four possible stimulus geometries. These were presented in a pseudorandom sequence. In brief presentations, subjects always perceived two of the gratings to cohere and move as a pattern in one direction, and the third grating to move independently in the opposite direction (its component direction). Although there were three equally plausible axes (one cardinal and two oblique) along which the coherent and independent motions could occur, subjects routinely saw motion along one of the cardinal axes. Thus, the visual system preferentially combines the two oblique gratings to form a pattern that drifts in the opposite direction to the cardinal grating. It was only when the contrast of one of the oblique gratings was changed that an oblique axis of motion was perceived. This perceptual anisotropy can be related to naturally occurring bias in the visual environment, notably the predominance of horizontal and vertical contours in our visual world.