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Human visual consciousness involves large scale cortical and subcortical networks independent of task report and eye movement activity

Author

Listed:
  • Sharif I. Kronemer

    (Yale University
    Yale University)

  • Mark Aksen

    (Yale University)

  • Julia Z. Ding

    (Yale University)

  • Jun Hwan Ryu

    (Yale University)

  • Qilong Xin

    (Yale University
    Yale University)

  • Zhaoxiong Ding

    (Yale University)

  • Jacob S. Prince

    (Yale University)

  • Hunki Kwon

    (Yale University)

  • Aya Khalaf

    (Yale University
    Cairo University)

  • Sarit Forman

    (Yale University)

  • David S. Jin

    (Yale University
    Yale University)

  • Kevin Wang

    (Yale University)

  • Kaylie Chen

    (Yale University)

  • Claire Hu

    (Yale University)

  • Akshar Agarwal

    (Yale University)

  • Erik Saberski

    (Yale University)

  • Syed Mohammad Adil Wafa

    (Yale University
    Yale University
    University College London)

  • Owen P. Morgan

    (Yale University)

  • Jia Wu

    (Yale University)

  • Kate L. Christison-Lagay

    (Yale University)

  • Nicholas Hasulak

    (NeuroPace, Inc.)

  • Martha Morrell

    (NeuroPace, Inc.)

  • Alexandra Urban

    (University of Pittsburgh)

  • R. Todd Constable

    (Yale University
    Yale University
    Yale University)

  • Michael Pitts

    (Reed College)

  • R. Mark Richardson

    (Massachusetts General Hospital
    Harvard Medical School)

  • Michael J. Crowley

    (Yale University)

  • Hal Blumenfeld

    (Yale University
    Yale University
    Yale University
    Yale University)

Abstract

The full neural circuits of conscious perception remain unknown. Using a visual perception task, we directly recorded a subcortical thalamic awareness potential (TAP). We also developed a unique paradigm to classify perceived versus not perceived stimuli using eye measurements to remove confounding signals related to reporting on conscious experiences. Using fMRI, we discovered three major brain networks driving conscious visual perception independent of report: first, increases in signal detection regions in visual, fusiform cortex, and frontal eye fields; and in arousal/salience networks involving midbrain, thalamus, nucleus accumbens, anterior cingulate, and anterior insula; second, increases in frontoparietal attention and executive control networks and in the cerebellum; finally, decreases in the default mode network. These results were largely maintained after excluding eye movement-based fMRI changes. Our findings provide evidence that the neurophysiology of consciousness is complex even without overt report, involving multiple cortical and subcortical networks overlapping in space and time.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35117-4
    DOI: 10.1038/s41467-022-35117-4
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    References listed on IDEAS

    as
    1. 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.
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    Cited by:

    1. Joshua Kosnoff & Kai Yu & Chang Liu & Bin He, 2024. "Transcranial focused ultrasound to V5 enhances human visual motion brain-computer interface by modulating feature-based attention," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

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