4.8 Article

Long-term brain network reorganization predicts responsive neurostimulation outcomes for focal epilepsy

Journal

SCIENCE TRANSLATIONAL MEDICINE
Volume 13, Issue 608, Pages -

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/scitranslmed.abf6588

Keywords

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Funding

  1. William K. Bowes Foundation
  2. William and Susan Oberndorf Foundation
  3. Ernest Gallo Foundation Distinguished Professorship at the University of California, San Francisco
  4. Citizens United for Research in Epilepsy (CURE): Taking Flight Award
  5. Weill Neurohub

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Research has found that patients who receive RNS therapy undergo progressive, frequency-dependent reorganization of interictal functional connectivity, with the extent of this reorganization directly scaling with seizure reduction. This reorganization emerges within the first year of RNS treatment, potentially enabling early prediction of therapeutic response and revealing a mechanism for RNS involving network plasticity for the development of next-generation devices for epilepsy.
Responsive neurostimulation (RNS) devices, able to detect imminent seizures and to rapidly deliver electrical stimulation to the brain, are effective in reducing seizures in some patients with focal epilepsy. However, therapeutic response to RNS is often slow, is highly variable, and defies prognostication based on clinical factors. A prevailing view holds that RNS efficacy is primarily mediated by acute seizure termination; yet, stimulations greatly outnumber seizures and occur mostly in the interictal state, suggesting chronic modulation of brain networks that generate seizures. Here, using years-long intracranial neural recordings collected during RNS therapy, we found that patients with the greatest therapeutic benefit undergo progressive, frequency-dependent reorganization of interictal functional connectivity. The extent of this reorganization scales directly with seizure reduction and emerges within the first year of RNS treatment, enabling potential early prediction of therapeutic response. Our findings reveal a mechanism for RNS that involves network plasticity and may inform development of next-generation devices for epilepsy.

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