Future of seizure prediction and intervention: Closing the loop

Vivek Nagaraj, Steven T. Lee, Esther Krook-Magnuson, Ivan Soltesz, Pascal Benquet, Pedro P. Irazoqui, Theoden I. Netoff

Research output: Contribution to journalReview articlepeer-review

45 Scopus citations

Abstract

The ultimate goal of epilepsy therapies is to provide seizure control for all patients while eliminating side effects. Improved specificity of intervention through on-demand approaches may overcome many of the limitations of current intervention strategies. This article reviews the progress in seizure prediction and detection, potential new therapies to provide improved specificity, and devices to achieve these ends. Specifically, we discuss (1) potential signal modalities and algorithms for seizure detection and prediction, (2) closed-loop intervention approaches, and (3) hardware for implementing these algorithms and interventions. Seizure prediction and therapies maximize efficacy, whereas minimizing side effects through improved specificity may represent the future of epilepsy treatments.

Original languageEnglish (US)
Pages (from-to)194-206
Number of pages13
JournalJournal of Clinical Neurophysiology
Volume32
Issue number3
DOIs
StatePublished - Jun 3 2015

Keywords

  • Deep brain stimulation
  • Epilepsy
  • Neuromodulation
  • Seizure prediction

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