September 2024
Volume 24, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2024
Network mechanisms of ongoing brain activity’s influence on conscious visual perception
Author Affiliations & Notes
  • Yuan-hao Wu
    Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, U.S.A.
  • Ella Podvalny
    Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, U.S.A.
  • Max Levinson
    McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montréal, Québec, QC H3A 2B4, Canada
  • Biyu J. He
    Neuroscience Institute, New York University Grossman School of Medicine, New York, NY 10016, U.S.A.
    Department of Neurology, New York University Grossman School of Medicine, New York, NY 10016, U.S.A.
    Department of Neuroscience & Physiology, New York University Grossman School of Medicine, New York, NY 10016, U.S.A.
    Department of Radiology, New York University Grossman School of Medicine, New York, NY 10016, U.S.A.
  • Footnotes
    Acknowledgements  This work is supported by the National Institute of Health (R01EY032085)
Journal of Vision September 2024, Vol.24, 1093. doi:https://doi.org/10.1167/jov.24.10.1093
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      Yuan-hao Wu, Ella Podvalny, Max Levinson, Biyu J. He; Network mechanisms of ongoing brain activity’s influence on conscious visual perception. Journal of Vision 2024;24(10):1093. https://doi.org/10.1167/jov.24.10.1093.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Spontaneous brain activity is energetically expensive and spatiotemporally organized in an intricate manner with important clinical implications. Yet, little is known regarding how spontaneous brain activity participates in online, task-oriented brain functions. While previous work has demonstrated that prestimulus ongoing activity can predict task performance from trial to trial, the underlying mechanisms remain elusive. Here, we systematically investigated prestimulus ongoing activity’s influences on visual perceptual decision-making and conscious object recognition. We employed whole-brain 7 Tesla fMRI data acquired during a threshold-level visual object recognition task in 25 healthy human subjects. Our objective was to dissect the influences of prestimulus brain activity from distributed cortical and subcortical brain regions on multiple facets of perceptual behavior, including the sensitivity and criterion of conscious object recognition, and discrimination accuracy in a categorization task. To shed light on the mechanisms linking prestimulus ongoing activity and perceptual behavior, we further investigated how prestimulus activity modulates stimulus-related processing. Our findings reveal a diverse set of effects on perceptual behavior exerted by prestimulus ongoing activity originating from distributed brain regions. High prestimulus activity in the ventromedial prefrontal cortex enhances sensitivity and promotes a more conservative criterion in object recognition by reducing the trial-to-trial variability of distributed stimulus-triggered responses. Prestimulus activity in the cingulo-opercular and visual networks had opposite influences on recognition-related criterion and discrimination accuracy, with prestimulus visual network activity modulating the variability and stimulus encoding in sensory-evoked responses, and prestimulus cingulo-opercular network activity exerting a pattern of influences consistent with the modulation of tonic alertness. In sum, our study sheds light on the intricate contributions of spontaneous brain activity from distributed brain networks to perceptual decision-making and conscious visual perception. Our findings further illuminate how prestimulus activity from these distributed brain regions shapes multiple aspects of stimulus-related processing, providing concrete mechanistic insights into these behavioral effects.

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