The principles driving the organization of the ventral object-processing stream remain unknown. Here, we show that stimulus-specific repetition suppression (RS) in one region of the ventral stream is biased according to motor-relevant properties of objects. Quantitative analysis confirmed that this result was not confounded with similarity in visual shape. A similar pattern of biases in RS according to motor-relevant properties of objects was observed in dorsal stream regions in the left hemisphere. These findings suggest that neural specificity for "tools" in the ventral stream is driven by similarity metrics computed over motor-relevant information represented in dorsal structures. Support for this view is provided by converging results from functional connectivity analyses of the fMRI data and a separate neuropsychological study. More generally, these data suggest that a basic organizing principle giving rise to "category specificity" in the ventral stream may involve similarity metrics computed over information represented elsewhere in the brain.

An increasing number of fMRI studies are using the correlation of low-frequency fluctuations between brain regions, believed to reflect synchronized variations in neuronal activity, to infer "functional connectivity". In studies of autism spectrum disorder (ASD), decreases in this measure of connectivity have been found by focusing on the response to task modulation, by using only the rest periods, or by analyzing purely resting-state data. This difference in connectivity, however, could result from a number of different mechanisms -differences in noise, task-related fluctuations, task performance, or spontaneous neuronal activity. In this study, we investigate the difference in functional connectivity between adolescents with high-functioning ASD and typically developing control subjects by examining the residual fluctuations occurring on top of the fMRI response to an overt verbal fluency task. We find decreased correlations of these residuals (a decreased "connectivity") in ASD subjects. Furthermore, we find that this decrease was not due to task-related effects, block-to-block variations in task performance, or increased noise, and the difference was greatest when primarily rest periods are considered. These findings suggest that the estimate of disrupted functional connectivity in ASD is likely driven by differences in task-unrelated neuronal fluctuations.

How people understand the actions of animate agents has been vigorously debated. This debate has centered on two hypotheses focused on anatomically distinct neural substrates: The mirror-system hypothesis proposes that the understanding of others is achieved via action simulation, and the social-network hypothesis proposes that such understanding is achieved via the integration of critical biological properties (e.g., faces, affect). In this study, we assessed the areas of the brain that were engaged when people interpreted and imagined moving shapes as animate or inanimate. Although observing and imagining the moving shapes engaged the mirror system, only activation of the social network was modulated by animacy.

Studies of autism spectrum disorders (ASDs) reveal dysfunction in the neural systems mediating object processing (particularly faces) and social cognition, but few investigations have systematically assessed the specificity of the dysfunction. We compared cortical responses in typically developing adolescents and those with ASD to stimuli from distinct conceptual domains known to elicit category-related activity in separate neural systems. In Experiment 1, subjects made category decisions to photographs, videos, and point-light displays of people and tools. In Experiment 2, subjects interpreted displays of simple, geometric shapes in motion depicting social or mechanical interactions. In both experiments, we found a selective deficit in the ASD subjects for dynamic social stimuli (videos and point-light displays of people, moving geometric shapes), but not static images, in the functionally localized lateral region of the right fusiform gyrus, including the fusiform face area. In contrast, no group differences were found in response to either static images or dynamic stimuli in other brain regions associated with face and social processing (e.g. posterior superior temporal sulcus, amygdala), suggesting disordered connectivity between these regions and the fusiform gyrus in ASD. This possibility was confirmed by functional connectivity analysis.

Previous work has implicated prefrontal cortices in selecting among and retrieving conceptual information stored elsewhere. However, recent neurophysiological work in monkeys suggests that prefrontal cortex may play a more direct role in representing conceptual information in a flexible context-specific manner. Here, we investigate the nature of visual object representations from perceptual to conceptual levels in an unbiased data-driven manner using a functional magnetic resonance imaging adaptation paradigm with pictures of animals. Throughout much of occipital cortex, activity was highly sensitive to changes in 2D stimulus form, consistent with tuning to form and position within retinotopic coordinates and matching an automated measure of shape similarity. Broad superordinate conceptual information was represented as early as extrastriate and posterior ventral temporal cortex. These regions were not completely invariant to form, suggesting that form similarity remains an important organizational constraint into the temporal cortex. Separate sites within prefrontal cortex represented broad and narrow conceptual tuning, with more anterior sites tuned narrowly to close conceptual associates in a manner that was invariant to stimulus form/position and that matched independent similarity ratings of the stimuli. The combination of broad and narrow conceptual tuning within prefrontal cortex may support flexible selection, retrieval, and classification of objects at different levels of categorical abstraction.