Network mechanisms of ongoing brain activity’s influence on conscious visual perception

Yuan-hao Wu, Ella Podvalny, Max Levinson and Biyu J. He ()
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Yuan-hao Wu: New York University Grossman School of Medicine
Ella Podvalny: New York University Grossman School of Medicine
Max Levinson: New York University Grossman School of Medicine
Biyu J. He: New York University Grossman School of Medicine

Nature Communications, 2024, vol. 15, issue 1, 1-18

Abstract: Abstract Sensory inputs enter a constantly active brain, whose state is always changing from one moment to the next. Currently, little is known about how ongoing, spontaneous brain activity participates in online task processing. We employed 7 Tesla fMRI and a threshold-level visual perception task to probe the effects of prestimulus ongoing brain activity on perceptual decision-making and conscious recognition. Prestimulus activity originating from distributed brain regions, including visual cortices and regions of the default-mode and cingulo-opercular networks, exerted a diverse set of effects on the sensitivity and criterion of conscious recognition, and categorization performance. We further elucidate the mechanisms underlying these behavioral effects, revealing how prestimulus activity modulates multiple aspects of stimulus processing in highly specific and network-dependent manners. These findings reveal heretofore unknown network mechanisms underlying ongoing brain activity’s influence on conscious perception, and may hold implications for understanding the precise roles of spontaneous activity in other brain functions.

Date: 2024
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DOI: 10.1038/s41467-024-50102-9

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