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Intracranial electroencephalography reveals effector-independent evidence accumulation dynamics in multiple human brain regions

Author

Listed:
  • Sabina Gherman

    (Northwell Health)

  • Noah Markowitz

    (Northwell Health)

  • Gelana Tostaeva

    (Northwell Health)

  • Elizabeth Espinal

    (Northwell Health
    Drexel University)

  • Ashesh D. Mehta

    (Northwell Health
    Zucker School of Medicine at Hofstra/Northwell)

  • Redmond G. O’Connell

    (Trinity College Dublin
    Trinity College Dublin)

  • Simon P. Kelly

    (University College Dublin)

  • Stephan Bickel

    (Northwell Health
    Zucker School of Medicine at Hofstra/Northwell
    Nathan Kline Institute)

Abstract

Neural representations of perceptual decision formation that are abstracted from specific motor requirements have previously been identified in humans using non-invasive electrophysiology; however, it is currently unclear where these originate in the brain. Here we capitalized on the high spatiotemporal precision of intracranial EEG to localize such abstract decision signals. Participants undergoing invasive electrophysiological monitoring for epilepsy were asked to judge the direction of random-dot stimuli and respond either with a speeded button press (N = 24), or vocally, after a randomized delay (N = 12). We found a widely distributed motor-independent network of regions where high-frequency activity exhibited key characteristics consistent with evidence accumulation, including a gradual buildup that was modulated by the strength of the sensory evidence, and an amplitude that predicted participants’ choice accuracy and response time. Our findings offer a new view on the brain networks governing human decision-making.

Suggested Citation

  • Sabina Gherman & Noah Markowitz & Gelana Tostaeva & Elizabeth Espinal & Ashesh D. Mehta & Redmond G. O’Connell & Simon P. Kelly & Stephan Bickel, 2024. "Intracranial electroencephalography reveals effector-independent evidence accumulation dynamics in multiple human brain regions," Nature Human Behaviour, Nature, vol. 8(4), pages 758-770, April.
  • Handle: RePEc:nat:nathum:v:8:y:2024:i:4:d:10.1038_s41562-024-01824-9
    DOI: 10.1038/s41562-024-01824-9
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