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


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.

SUBMITTER: Fox KCR 

PROVIDER: S-EPMC7572705 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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

Fox Kieran C R KCR   Shi Lin L   Baek Sori S   Raccah Omri O   Foster Brett L BL   Saha Srijani S   Margulies Daniel S DS   Kucyi Aaron A   Parvizi Josef J  

Nature human behaviour 20200706 10


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  ...[more]

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