Neural processing of scene-relative object movement during self-movement

Much research has examined how the visual system identifies scene-relative object movement during self-movement. Here we examined the related neural processing by identifying brain regions involved in this task. In a Siemens Magnetom Prisma Fit 3T MRI scanner, participants viewed through prism glasses a stereo display (9.5°Hx19°V) that simulated lateral self-movement (speed: 0.032 m/s) through a 3D volume composed of 63 randomly positioned red wireframe objects (depth: 0.55-1.05 m) with counter rotation of gaze. In the non-moving target condition, a yellow target object was positioned at 1/4 (near) or 3/4 (far) of the scene’s depth range. In the moving target condition, the target at the near distance was given its retinal speed at the far distance and vice versa, causing the target to appear moving in the scene. The target movement was thus not defined by higher or lower speeds than the rest of the scene objects, and the moving and non-moving target conditions were equated for all retinal information. A control condition without simulated self-movement was also tested in which the scene remained static on the screen. During scanning, on each 2-s trial, participants were asked to report when the scene objects underwent a luminance contrast change to control attention (irrelevant to object movement identification). We identified known visual and optic flow areas as regions of interest (ROI) using standard localizers and performed multiple-voxel-pattern-analysis on the most active 300 voxels for each ROI. Across 20 participants, the decoding accuracy of scene-relative object movement versus no object movement was significantly higher than chance in higher-level dorsal visual areas V7 and MT+. Furthermore, these areas could successfully differentiate scene-relative object movement with and without simulated self-movement. Using well-designed visual stimuli, the current study reveals that areas V7 and MT+ play a crucial role in processing the scene-relative object movement during self-movement.

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Publication Details

Journal
Journal of Vision
Published
2024-09-15
DOI
https://doi.org/10.1167/jov.24.10.969
Citations
2
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
0.69
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article

Neural processing of scene-relative object movement during self-movement

Zhoukuidong Shan, Simon K. Rushton, Li Li, Shu-Guang Kuai et al.
2 citations
Journal of Vision
Visual perception and processing mechanisms
0.69
article

Neural processing of scene-relative object movement during self-movement

Zhoukuidong Shan, Simon K. Rushton, Li Li, Shu-Guang Kuai, Xuechun Shen
article en
2 citations

Abstract

Much research has examined how the visual system identifies scene-relative object movement during self-movement. Here we examined the related neural processing by identifying brain regions involved in this task. In a Siemens Magnetom Prisma Fit 3T MRI scanner, participants viewed through prism glasses a stereo display (9.5°Hx19°V) that simulated lateral self-movement (speed: 0.032 m/s) through a 3D volume composed of 63 randomly positioned red wireframe objects (depth: 0.55-1.05 m) with counter rotation of gaze. In the non-moving target condition, a yellow target object was positioned at 1/4 (near) or 3/4 (far) of the scene’s depth range. In the moving target condition, the target at the near distance was given its retinal speed at the far distance and vice versa, causing the target to appear moving in the scene. The target movement was thus not defined by higher or lower speeds than the rest of the scene objects, and the moving and non-moving target conditions were equated for all retinal information. A control condition without simulated self-movement was also tested in which the scene remained static on the screen. During scanning, on each 2-s trial, participants were asked to report when the scene objects underwent a luminance contrast change to control attention (irrelevant to object movement identification). We identified known visual and optic flow areas as regions of interest (ROI) using standard localizers and performed multiple-voxel-pattern-analysis on the most active 300 voxels for each ROI. Across 20 participants, the decoding accuracy of scene-relative object movement versus no object movement was significantly higher than chance in higher-level dorsal visual areas V7 and MT+. Furthermore, these areas could successfully differentiate scene-relative object movement with and without simulated self-movement. Using well-designed visual stimuli, the current study reveals that areas V7 and MT+ play a crucial role in processing the scene-relative object movement during self-movement.

Journal of VisionVol. 24(10)
New York University Shanghai (CN), East China Normal University (CN), Cardiff University (GB)
Reduced inequalities
Openalex Percentile: Top 31%
Visual perception and processing mechanisms
0.69
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