Document Type
Article
Publication Date
7-15-2020
Journal
NeuroImage
Volume
215
URL with Digital Object Identifier
10.1016/j.neuroimage.2020.116815
Abstract
© 2020 The Author(s) An object that is looming toward a subject or receding away contains important information for determining if this object is dangerous, beneficial or harmless. This information (motion, direction, identity, time-to-collision, size, velocity) is analyzed by the brain in order to execute the appropriate behavioral responses depending on the context: fleeing, freezing, grasping, eating, exploring. In the current study, we performed ultra-high-field functional MRI (fMRI) at 9.4T in awake marmosets to explore the patterns of brain activation elicited by visual stimuli looming toward or receding away from the monkey. We found that looming and receding visual stimuli activated a large cortical network in frontal, parietal, temporal and occipital cortex in areas involved in the analysis of motion, shape, identity and features of the objects. Looming stimuli strongly activated a network composed of portions of the pulvinar, superior colliculus, putamen, parietal, prefrontal and temporal cortical areas. These activations suggest the existence of a network that processes visual stimuli looming toward peripersonal space to predict the consequence of these stimuli. Together with previous studies in macaque monkeys, these findings indicate that this network is preserved across Old and New World primates.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Notes
© 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Originally published as;
Cléry, J. C., Schaeffer, D. J., Hori, Y., Gilbert, K. M., Hayrynen, L. K., Gati, J. S., Menon, R. S., & Everling, S. (2020). Looming and receding visual networks in awake marmosets investigated with fMRI. NeuroImage, 215, 116815. https://doi.org/10.1016/j.neuroimage.2020.116815