Closed-loop stimulation in periods with less epileptiform activity drives improved epilepsy outcomes

Author:

Anderson Daria Nesterovich123ORCID,Charlebois Chantel M45ORCID,Smith Elliot H1ORCID,Davis Tyler S1,Peters Angela Y6,Newman Blake J6,Arain Amir M6,Wilcox Karen S2,Butson Christopher R78910,Rolston John D411ORCID

Affiliation:

1. Department of Neurosurgery, University of Utah , Salt Lake City, UT 84132 , USA

2. Department of Pharmacology and Toxicology, University of Utah , Salt Lake City, UT 84112 , USA

3. School of Biomedical Engineering, Faculty of Engineering, The University of Sydney , Darlington, NSW 2008 , Australia

4. Department of Biomedical Engineering, University of Utah , Salt Lake City, UT 84112 , USA

5. Scientific Computing and Imaging Institute, University of Utah , Salt Lake City, UT 84112 , USA

6. Department of Neurology, University of Utah , Salt Lake City, UT 84132 , USA

7. Norman Fixel Institute for Neurological Diseases, University of Florida , Gainesville, FL 32608 , USA

8. Department of Neurology, University of Florida , Gainesville, FL 32611 , USA

9. Department of Neurosurgery, University of Florida , Gainesville, FL 32608 , USA

10. Department of Biomedical Engineering, University of Florida , Gainesville, FL 32611 , USA

11. Department of Neurosurgery, Brigham and Women’s Hospital and Harvard Medical School , Boston, MA 02115 , USA

Abstract

Abstract In patients with drug-resistant epilepsy, electrical stimulation of the brain in response to epileptiform activity can make seizures less frequent and debilitating. This therapy, known as closed-loop responsive neurostimulation (RNS), aims to directly halt seizure activity via targeted stimulation of a burgeoning seizure. Rather than immediately stopping seizures as they start, many RNS implants produce slower, long-lasting changes in brain dynamics that better predict clinical outcomes. Here we hypothesize that stimulation during brain states with less epileptiform activity drives long-term changes that restore healthy brain networks. To test this, we quantified stimulation episodes during low- and high-risk brain states—that is, stimulation during periods with a lower or higher risk of generating epileptiform activity—in a cohort of 40 patients treated with RNS. More frequent stimulation in tonic low-risk states and out of rhythmic high-risk states predicted seizure reduction. Additionally, stimulation events were more likely to be phase-locked to prolonged episodes of abnormal activity for intermediate and poor responders when compared to super-responders, consistent with the hypothesis that improved outcomes are driven by stimulation during low-risk states. These results support the hypothesis that stimulation during low-risk periods might underlie the mechanisms of RNS, suggesting a relationship between temporal patterns of neuromodulation and plasticity that facilitates long-term seizure reduction.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

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