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Intrinsic network architecture predicts the effects elicited by intracranial electrical stimulation of the human brain

Author

Listed:
  • Kieran C. R. Fox

    (Stanford University
    Stanford University)

  • Lin Shi

    (Stanford University
    Capital Medical University)

  • Sori Baek

    (Stanford University)

  • Omri Raccah

    (Stanford University)

  • Brett L. Foster

    (Baylor College of Medicine)

  • Srijani Saha

    (Stanford University)

  • Daniel S. Margulies

    (Institut du Cerveau et de la Moelle Épinière)

  • Aaron Kucyi

    (Stanford University)

  • Josef Parvizi

    (Stanford University)

Abstract

Intracranial electrical stimulation (iES) of the human brain has long been known to elicit a remarkable variety of perceptual, motor and cognitive effects, but the functional–anatomical basis of this heterogeneity remains poorly understood. We conducted a whole-brain mapping of iES-elicited effects, collecting first-person reports following iES at 1,537 cortical sites in 67 participants implanted with intracranial electrodes. We found that intrinsic network membership and the principal gradient of functional connectivity strongly predicted the type and frequency of iES-elicited effects in a given brain region. While iES in unimodal brain networks at the base of the cortical hierarchy elicited frequent and simple effects, effects became increasingly rare, heterogeneous and complex in heteromodal and transmodal networks higher in the hierarchy. Our study provides a comprehensive exploration of the relationship between the hierarchical organization of intrinsic functional networks and the causal modulation of human behaviour and experience with iES.

Suggested Citation

  • Kieran C. R. Fox & Lin Shi & Sori Baek & Omri Raccah & Brett L. Foster & Srijani Saha & Daniel S. Margulies & Aaron Kucyi & Josef Parvizi, 2020. "Intrinsic network architecture predicts the effects elicited by intracranial electrical stimulation of the human brain," Nature Human Behaviour, Nature, vol. 4(10), pages 1039-1052, October.
    • Handle: RePEc:nat:nathum:v:4:y:2020:i:10:d:10.1038_s41562-020-0910-1
    DOI: 10.1038/s41562-020-0910-1
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