IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-50102-9.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-50102-9
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-50102-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Audrey J Sederberg & Aurélie Pala & He J V Zheng & Biyu J He & Garrett B Stanley, 2019. "State-aware detection of sensory stimuli in the cortex of the awake mouse," PLOS Computational Biology, Public Library of Science, vol. 15(5), pages 1-24, May.
    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 & Guangyu Robert Yang & Patryk Laurent & Douglas H. Schultz & Michael W. Cole, 2022. "Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    4. Adrián Ponce-Alvarez & Biyu J He & Patric Hagmann & Gustavo Deco, 2015. "Task-Driven Activity Reduces the Cortical Activity Space of the Brain: Experiment and Whole-Brain Modeling," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-26, August.
    5. Jia-Hou Poh & Mai-Anh T. Vu & Jessica K. Stanek & Abigail Hsiung & Tobias Egner & R. Alison Adcock, 2022. "Hippocampal convergence during anticipatory midbrain activation promotes subsequent memory formation," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    6. Sharif I. Kronemer & Mark Aksen & Julia Z. Ding & Jun Hwan Ryu & Qilong Xin & Zhaoxiong Ding & Jacob S. Prince & Hunki Kwon & Aya Khalaf & Sarit Forman & David S. Jin & Kevin Wang & Kaylie Chen & Clai, 2022. "Human visual consciousness involves large scale cortical and subcortical networks independent of task report and eye movement activity," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50102-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.