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Lookup NU author(s): Christoforos Papasavvas, Gabrielle Schroeder, Professor Peter TaylorORCiD, Professor Yujiang WangORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
OBJECTIVE: Direct electrical stimulation of the brain through intracranial electrodes is currently used to probe the epileptic brain as part of pre-surgical evaluation, and it is also being considered for therapeutic treatments through neuromodulation. In order to effectively modulate neural activity, a given neuromodulation design must elicit similar responses throughout the course of treatment. However, it is unknown whether intracranial electrical stimulation responses are consistent across sessions. The objective of this study was to investigate the within-subject, cross-session consistency of the electrophysiological effect of electrical stimulation delivered through intracranial electroencephalography (iEEG). APPROACH: We analysed data from 79 epilepsy patients implanted with iEEG who underwent brain stimulation as part of a memory experiment. We quantified the effect of stimulation in terms of band power modulation and compared this effect from session to session. As a reference, we made the same measurements during baseline periods. MAIN RESULTS: In most sessions, the effect of stimulation on band power could not be distinguished from baseline fluctuations of band power. Stimulation effect was consistent in a third of the session pairs, while the rest had a consistency measure not exceeding the baseline standards. Cross-session consistency was highly correlated with the degree of band power increase, and it also tended to be higher when the baseline conditions were more similar between sessions. SIGNIFICANCE: These findings can inform our practices for designing neuromodulation with greater efficacy when using direct electrical brain stimulation as a therapeutic treatment.
Author(s): Papasavvas CA, Schroeder GM, Diehl B, Baier G, Taylor PN, Wang Y
Publication type: Article
Publication status: Published
Journal: Journal of Neural Engineering
Year: 2020
Volume: 17
Issue: 5
Online publication date: 28/10/2020
Acceptance date: 01/10/2020
Date deposited: 22/03/2021
ISSN (print): 1741-2560
ISSN (electronic): 1741-2552
Publisher: IOP
URL: https://doi.org/10.1088/1741-2552/abbecf
DOI: 10.1088/1741-2552/abbecf
PubMed id: 33022661
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