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The human middle temporal cortex responds to both active leg movements and egomotion-compatible visual motion
Valentina Sulpizio1,2, Francesca Strappini3, Patrizia Fattori4
1Brain Imaging Laboratory, Department of Psychology, Sapienza University, Rome, Italy.
Brain Structure & Function
|August 13, 2022
Summary
The human middle-temporal area (MT+) processes visual motion and is influenced by non-visual signals. Specific subregions (MST, FST) show visuomotor roles, integrating sensory and motor information for locomotion.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Visual Perception
Background:
- The human middle-temporal area (MT+) is recognized for visual motion processing.
- Emerging evidence suggests MT+ is modulated by extraretinal signals, hinting at cross-modal motion processing capabilities.
Purpose of the Study:
- To investigate the influence of retinal and extraretinal signals on MT+ using functional MRI.
- To explore the functional connectivity of MT+ subdivisions (MST, FST, MT, V4t) using resting-state fMRI.
Main Methods:
- Functional MRI (fMRI) was employed to compare brain responses to coherent versus random visual motion.
- Resting-state fMRI was used to analyze functional connectivity patterns within MT+ subdivisions and with other brain regions.
- Regional analyses examined responses to visual motion and limb movements (arm vs. leg).
Main Results:
- The MST and FST subregions of MT+ showed positive activation to coherent visual motion.
- MST and FST were activated by leg movements but not arm movements, while MT and V4t were deactivated by arm movements.
- Distinct functional connectivity patterns emerged: visuomotor regions (MST, FST) connected with somatosensory and motor areas, particularly those for the lower limbs.
Conclusions:
- The anterior areas MST and FST exhibit a visuomotor role, integrating visual motion with lower-limb movements.
- The MT and V4t areas demonstrate a pure visual role in motion processing.
- These findings suggest MST and FST are crucial for integrating sensory and motor information, potentially supporting locomotion.
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