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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Intrinsic network architecture predicts the effects elicited by intracranial electrical stimulation of the human brain
Nature human behaviour, v 4(10), pp 1039-1052
01 Oct 2020
PMID: 32632334
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Intrinsic network architecture predicts the effects elicited by intracranial electrical stimulation of the human brain
- Creators
- Kieran C R Fox - Stanford UniversityLin Shi - Beijing Tian Tan HospitalSori Baek - Stanford UniversityOmri Raccah - Stanford UniversityBrett L Foster - Baylor College of MedicineSrijani Saha - Stanford UniversityDaniel S Margulies - Institut du CerveauAaron Kucyi - Stanford UniversityJosef Parvizi - Stanford University
- Publication Details
- Nature human behaviour, v 4(10), pp 1039-1052
- Publisher
- Springer Nature
- Grant note
- R00 MH103479 / NIMH NIH HHS P50 MH109429 / NIMH NIH HHS R01 MH116914 / NIMH NIH HHS CIHR
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000545906600002
- Scopus ID
- 2-s2.0-85087628086
- Other Identifier
- 991021448189304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Neurosciences
- Psychology, Biological
- Psychology, Experimental