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The contribution of dynamics to macaque body and face patch responses
A Bognár1, R Raman1, N Taubert2
1Deparment of Neurosciences, KU Leuven, Leuven, Belgium; Leuven Brain Institute, KU Leuven, Leuven, Belgium.
Neuroimage
|January 30, 2023
Summary
Dynamic body movements activate more brain regions than static images, revealing nine body patches in the macaque visual temporal cortex. This finding highlights the importance of motion in processing body information.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Primate Vision
Background:
- Previous studies identified body-selective patches in the primate visual temporal cortex using static images.
- Static stimuli may underestimate the full extent of the body representation network.
- Body dynamics convey crucial information about action and emotion.
Purpose of the Study:
- To map the complete body patch system in the macaque visual temporal cortex using fMRI.
- To investigate the role of dynamic body stimuli in activating these patches.
- To compare the response of body patches to dynamic versus static stimuli.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to scan macaque brains.
- Dynamic videos of natural-acting monkey bodies, faces, and objects were presented.
- Static images and scrambled videos served as control stimuli.
Main Results:
- Nine distinct body patches were identified in the visual temporal cortex, spanning from the superior temporal sulcus (STS) to the temporal pole.
- Body patches were consistently found in both upper and lower banks of the STS when viewing dynamic stimuli.
- Dynamic body displays elicited stronger activation in body patches compared to static images, more so than in neighboring face patches.
Conclusions:
- Dynamic body movements significantly expand the identified body-selective regions in the visual temporal cortex.
- The findings suggest that neural populations in body patches are more sensitive to motion cues than those in face patches.
- This research lays the foundation for future studies exploring the neural encoding of spatiotemporal features within these body patches.
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