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Predictive masking of an artificial scotoma is associated with a system-wide reconfiguration of neural populations in the human visual cortex.

Authors :
Carvalho J
Renken RJ
Cornelissen FW
Source :
NeuroImage [Neuroimage] 2021 Dec 15; Vol. 245, pp. 118690. Date of Electronic Publication: 2021 Nov 07.
Publication Year :
2021

Abstract

The visual brain has the remarkable capacity to complete our percept of the world even when the information extracted from the visual scene is incomplete. This ability to predict missing information based on information from spatially adjacent regions is an intriguing attribute of healthy vision. Yet, it gains particular significance when it masks the perceptual consequences of a retinal lesion, leaving patients unaware of their partial loss of vision and ultimately delaying diagnosis and treatment. At present, our understanding of the neural basis of this masking process is limited which hinders both quantitative modeling as well as translational application. To overcome this, we asked the participants to view visual stimuli with and without superimposed artificial scotoma (AS). We used fMRI to record the associated cortical activity and applied model-based analyzes to track changes in cortical population receptive fields and connectivity in response to the introduction of the AS. We found that throughout the visual field and cortical hierarchy, pRFs shifted their preferred position towards the AS border. Moreover, extrastriate areas biased their sampling of V1 towards sections outside the AS projection zone, thereby effectively masking the AS with signals from spared portions of the visual field. We speculate that the signals that drive these system-wide population modifications originate in extrastriate visual areas and, through feedback, also reconfigure the neural populations in the earlier visual areas.<br />Competing Interests: Declaration of Competing Interest None.<br /> (Copyright © 2021. Published by Elsevier Inc.)

Details

Language :
English
ISSN :
1095-9572
Volume :
245
Database :
MEDLINE
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
34758382
Full Text :
https://doi.org/10.1016/j.neuroimage.2021.118690