Abstract

While human vision spans 220°, traditional functional MRI setups display images only up to central 10-15°. Thus, it remains unknown how the brain represents a scene perceived across the full visual field. Here, we introduce a method for ultra-wide angle display and probe signatures of immersive scene representation. An unobstructed view of 175° is achieved by bouncing the projected image off angled-mirrors onto a custom-built curved screen. To avoid perceptual distortion, scenes are created with wide field-of-view from custom virtual environments. We find that immersive scene representation drives medial cortex with far-peripheral preferences, but shows minimal modulation in classic scene regions. Further, scene and face-selective regions maintain their content preferences even with extreme far-periphery stimulation, highlighting that not all far-peripheral information is automatically integrated into scene regions computations. This work provides clarifying evidence on content vs. peripheral preferences in scene representation and opens new avenues to research immersive vision.

How scenes are represented in the brain across the full visual field is unknown. Here, the authors develop a novel method to present wide-angled scenes in an fMRI scanner, finding classic scene regions’ clear preference for image content over peripheral stimulation

Details

Title
Immersive scene representation in human visual cortex with ultra-wide-angle neuroimaging
Author
Park, Jeongho 1   VIAFID ORCID Logo  ; Soucy, Edward 2 ; Segawa, Jennifer 2 ; Mair, Ross 3   VIAFID ORCID Logo  ; Konkle, Talia 4   VIAFID ORCID Logo 

 Harvard University, Department of Psychology, Cambridge, USA (GRID:grid.38142.3c) (ISNI:0000 0004 1936 754X) 
 Harvard University, Center for Brain Science, Cambridge, USA (GRID:grid.38142.3c) (ISNI:0000 0004 1936 754X) 
 Harvard University, Center for Brain Science, Cambridge, USA (GRID:grid.38142.3c) (ISNI:0000 0004 1936 754X); Harvard Medical School, Department of Radiology, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Massachusetts General Hospital, Department of Radiology, Boston, USA (GRID:grid.32224.35) (ISNI:0000 0004 0386 9924) 
 Harvard University, Department of Psychology, Cambridge, USA (GRID:grid.38142.3c) (ISNI:0000 0004 1936 754X); Harvard University, Center for Brain Science, Cambridge, USA (GRID:grid.38142.3c) (ISNI:0000 0004 1936 754X); Harvard University, Kempner Institute for Biological and Artificial Intelligence, Boston, USA (GRID:grid.38142.3c) (ISNI:0000 0004 1936 754X) 
Pages
5477
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3073444594
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.