Theta-burst direct electrical stimulation remodels human brain networks

Yuhao Huang, Rina Zelmann, Peter Hadar, Jaquelin Dezha-Peralta, R. Mark Richardson, Ziv M. Williams, Sydney S. Cash, Corey J. Keller () and Angelique C. Paulk ()
Additional contact information
Yuhao Huang: Stanford University
Rina Zelmann: Massachusetts General Hospital, Harvard Medical School
Peter Hadar: Massachusetts General Hospital, Harvard Medical School
Jaquelin Dezha-Peralta: Massachusetts General Hospital, Harvard Medical School
R. Mark Richardson: Massachusetts General Hospital and Harvard Medical School
Ziv M. Williams: Massachusetts General Hospital and Harvard Medical School
Sydney S. Cash: Massachusetts General Hospital, Harvard Medical School
Corey J. Keller: Stanford University
Angelique C. Paulk: Massachusetts General Hospital, Harvard Medical School

Nature Communications, 2024, vol. 15, issue 1, 1-17

Abstract: Abstract Theta-burst stimulation (TBS), a patterned brain stimulation technique that mimics rhythmic bursts of 3–8 Hz endogenous brain rhythms, has emerged as a promising therapeutic approach for treating a wide range of brain disorders, though the neural mechanism of TBS action remains poorly understood. We investigated the neural effects of TBS using intracranial EEG (iEEG) in 10 pre-surgical epilepsy participants undergoing intracranial monitoring. Here we show that individual bursts of direct electrical TBS at 29 frontal and temporal sites evoked strong neural responses spanning broad cortical regions. These responses exhibited dynamic local field potential voltage changes over the course of stimulation presentations, including either increasing or decreasing responses, suggestive of short-term plasticity. Stronger stimulation augmented the mean TBS response amplitude and spread with more recording sites demonstrating short-term plasticity. TBS responses were stimulation site-specific with stronger TBS responses observed in regions with strong baseline stimulation effective (cortico-cortical evoked potentials) and functional (low frequency phase locking) connectivity. Further, we could use these measures to predict stable and varying (e.g. short-term plasticity) TBS response locations. Future work may integrate pre-treatment connectivity alongside other biophysical factors to personalize stimulation parameters, thereby optimizing induction of neuroplasticity within disease-relevant brain networks.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-024-51443-1 Abstract (text/html)

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:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51443-1

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

DOI: 10.1038/s41467-024-51443-1

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

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