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Lookup NU author(s): Christoforos Papasavvas, Professor Peter TaylorORCiD, Professor Yujiang WangORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Creative Commons Attribution license.Objective. Targeted electrical stimulation of the brain perturbs neural networks and modulates their rhythmic activity both at the site of stimulation and at remote brain regions. Understanding, or even predicting, this neuromodulatory effect is crucial for any therapeutic use of brain stimulation. The objective of this study was to investigate if brain network properties prior to stimulation sessions hold associative and predictive value in understanding the neuromodulatory effect of electrical stimulation in a clinical context.Approach. We analysed the stimulation responses in 131 stimulation sessions across 66 patients with focal epilepsy recorded through intracranial electroencephalogram (iEEG). We considered functional and structural connectivity features as predictors of the response at every iEEG contact. Taking advantage of multiple recordings over days, we also investigated how slow changes in interictal functional connectivity (FC) ahead of the stimulation, representing the long-term variability of FC, relate to stimulation responses.Main results. The long-term variability of FC exhibits strong association with the stimulation-induced increases in delta and theta band power. Furthermore, we show through cross-validation that long-term variability of FC improves prediction of responses above the performance of spatial predictors alone.Significance. This study highlights the importance of the slow dynamics of FC in the prediction of brain stimulation responses. Furthermore, these findings can enhance the patient-specific design of effective neuromodulatory protocols for therapeutic interventions.
Author(s): Papasavvas C, Taylor PN, Wang Y
Publication type: Article
Publication status: Published
Journal: Journal of Neural Engineering
Year: 2022
Volume: 19
Issue: 2
Online publication date: 11/03/2022
Acceptance date: 15/02/2022
Date deposited: 28/03/2022
ISSN (electronic): 1741-2560
Publisher: IOP Publishing
URL: https://doi.org/10.1088/1741-2552/ac5568
DOI: 10.1088/1741-2552/ac5568
PubMed id: 35168208
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