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

Author

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  • Yuan-hao Wu

    (New York University Grossman School of Medicine)

  • Ella Podvalny

    (New York University Grossman School of Medicine
    Icahn School of Medicine at Mount Sinai)

  • Max Levinson

    (New York University Grossman School of Medicine)

  • Biyu J. He

    (New York University Grossman School of Medicine
    New York University Grossman School of Medicine
    New York University Grossman School of Medicine
    New York University Grossman School of Medicine)

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.

Suggested Citation

  • Yuan-hao Wu & Ella Podvalny & Max Levinson & Biyu J. He, 2024. "Network mechanisms of ongoing brain activity’s influence on conscious visual perception," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50102-9
    DOI: 10.1038/s41467-024-50102-9
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    References listed on IDEAS

    as
    1. Yuanning Li & Michael J. Ward & R. Mark Richardson & Max G’Sell & Avniel Singh Ghuman, 2020. "Endogenous activity modulates stimulus and circuit-specific neural tuning and predicts perceptual behavior," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    2. Alexis T Baria & Brian Maniscalco & Biyu J He, 2017. "Initial-state-dependent, robust, transient neural dynamics encode conscious visual perception," PLOS Computational Biology, Public Library of Science, vol. 13(11), pages 1-29, November.
    3. Takuya Ito & Scott L Brincat & Markus Siegel & Ravi D Mill & Biyu J He & Earl K Miller & Horacio G Rotstein & Michael W Cole, 2020. "Task-evoked activity quenches neural correlations and variability across cortical areas," PLOS Computational Biology, Public Library of Science, vol. 16(8), pages 1-39, August.
    4. Ella Podvalny & Matthew W. Flounders & Leana E. King & Tom Holroyd & Biyu J. He, 2019. "A dual role of prestimulus spontaneous neural activity in visual object recognition," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    5. Max Levinson & Ella Podvalny & Steven H. Baete & Biyu J. He, 2021. "Cortical and subcortical signatures of conscious object recognition," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    6. Pierre O. Boucher & Tian Wang & Laura Carceroni & Gary Kane & Krishna V. Shenoy & Chandramouli Chandrasekaran, 2023. "Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex," Nature Communications, Nature, vol. 14(1), pages 1-28, December.
    7. Biyu J He & John M Zempel, 2013. "Average Is Optimal: An Inverted-U Relationship between Trial-to-Trial Brain Activity and Behavioral Performance," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-14, November.
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