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Natural movie stimuli allow mapping of retinotopy and tonotopy in anesthetized monkey cortex

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Bartels,  A
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Augath,  M
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Moutoussis,  K
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Logothetis,  N
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Bartels, A., Augath, M., Moutoussis, K., Zeki, S., & Logothetis, N. (2006). Natural movie stimuli allow mapping of retinotopy and tonotopy in anesthetized monkey cortex. Poster presented at AREADNE 2006: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-D179-1
Abstract
In traditional functional magnetic resonance imaging (fMRI) carefully controlled stimuli are used to reveal cortical regions that are differentially responsive to distinct stimuli. In human fMRI studies we
have shown that the varying intensity of features, such as faces or color, seen in a movie, can be used
to map feature selective regions, such as the human V4 complex for color or superior temporal regions
(STS) and lateral fusiform cortex (FFA) for faces (Bartels Zeki, 2004). Here we applied the same
paradigm in the anesthetized monkey to identify regions involved in processing various low- and highlevel
features. The advantage of this approach is that effects of attention or eye-movements can be
excluded. In early visual cortex (V1-V3) we found that the BOLD signal was predicted by both,
changes in frame-by-frame pixel intensities (luminance changes) as well as by image contrast. These
two measures were not correlated with each other in our movie stimulus. Early visual cortex thus
seems to code for two independent stimulus dimensions. Responses to each were so specific that we
were able to obtain retinotopic maps by correlating voxel-time series with time series of either of these
stimulus dimensions as a function of their spatial location in the movie display. In contrast, color and
face variations correlated most with BOLD signal changes in V4 and in the STS. In auditory cortex, we
were able to obtain tonotopic maps based on the movie soundtrack, by correlating sound intensities at
different frequencies with BOLD signal of every voxel. Our results illustrate that, in monkey as in man,
movies - even though uncontrolled - allow surprisingly specific mapping of high- as well as low-level
features, down to retinotopy and tonotopy.