Model-based design for seizure control by stimulation

Abstract

Objective. Current brain stimulation paradigms are largely empirical rather than theoretical. An opportunity exists to improve upon their modest effectiveness in closed-loop control strategies with the development of theoretically grounded, model-based designs. Approach. Inspired by this need, here we couple experimental data and mathematical modeling with a control-theoretic strategy for seizure termination. We begin by exercising a dynamical systems approach to model seizures (n = 94) recorded using intracranial EEG (iEEG) from 21 patients with medication-resistant, localization-related epilepsy. Main results. Although each patient’s seizures displayed unique spatial and temporal patterns, their evolution can be parsimoniously characterized by the same model form. Idiosyncracies of the model can inform individualized intervention strategies, specifically in iEEG samples with well-localized seizure onset zones. Temporal fluctuations in the spatial profiles of the oscillatory modes show that seizure onset marks a transition into a regime in which the underlying system supports prolonged rhythmic and focal activity. Based on these observations, we propose a control-theoretic strategy that aims to stabilize ictal activity using static output feedback for linear time-invariant switching systems. Finally, we demonstrate in silico that our proposed strategy allows us to dampen the emerging focal oscillatory sources using only a small set of electrodes. Significance. Our integrative study informs the development of modulation and control algorithms for neurostimulation that could improve the effectiveness of implantable, closed-loop anti-epileptic devices.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 19, 2020
Source ID
10.1088/1741-2552/ab7a4e

Entities

People

  • Ankit Khambhati
  • Arian Ashourvan
  • Brian Litt
  • Danielle Bassett
  • Fadi Mikhail
  • George J. Pappas
  • Jean M Vettel
  • Kathryn A Davis
  • Steven Baldassano
  • Sérgio Pequito
  • Timothy H. Lucas

Organizations

  • Alfred P. Sloan Foundation
  • Foundation for the National Institutes of Health
  • John D. and Catherine T. MacArthur Foundation
  • National Institute of Neurological Disorders and Stroke
  • Office of Naval Research Global
  • United States Army Research Laboratory

Tags

Readers

  • Computational Modeling and Simulation
  • Control Systems Engineering.
  • Neuroscience