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

Kieran C. R. Fox (), Lin Shi, Sori Baek, Omri Raccah, Brett L. Foster, Srijani Saha, Daniel S. Margulies, Aaron Kucyi and Josef Parvizi ()
Additional contact information
Kieran C. R. Fox: Stanford University
Lin Shi: Stanford 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

Nature Human Behaviour, 2020, vol. 4, issue 10, 1039-1052

Abstract: 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.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41562-020-0910-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nathum:v:4:y:2020:i:10:d:10.1038_s41562-020-0910-1

Ordering information: This journal article can be ordered from
https://www.nature.com/nathumbehav/

DOI: 10.1038/s41562-020-0910-1

Access Statistics for this article

Nature Human Behaviour is currently edited by Stavroula Kousta

More articles in Nature Human Behaviour from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().