Next Article in Journal
Poor Synchronization to Musical Beat Generalizes to Speech
Previous Article in Journal
Regional Analysis of the Brain Transcriptome in Mice Bred for High and Low Methamphetamine Consumption
Previous Article in Special Issue
Diagnosis and Surgical Treatment of Epilepsy
Article Menu

Export Article

Open AccessArticle

Neural State Monitoring in the Treatment of Epilepsy: Seizure Prediction—Conceptualization to First-In-Man Study

1
Department of Neurosurgery, Loma Linda University; Loma Linda, CA 92354, USA
2
NeuroVista Corporation, Seattle, WA 98109, USA
3
DiLorenzo Biomedical LLC, Seattle, WA 98109, USA
4
Cascade Medical Devices, Sammamish, WA 98074, USA
5
Kaplan Design LLC, Bellevue, WA 98008, USA
*
Author to whom correspondence should be addressed.
Brain Sci. 2019, 9(7), 156; https://doi.org/10.3390/brainsci9070156
Received: 17 January 2019 / Revised: 1 May 2019 / Accepted: 17 May 2019 / Published: 1 July 2019
(This article belongs to the Special Issue Diagnosis and Surgical Treatment of Epilepsy)
  |  
PDF [1719 KB, uploaded 1 July 2019]
  |  

Abstract

This research study is part of a therapy development effort in which a novel approach was taken to develop an implantable electroencephalographic (EEG) based brain monitoring and seizure prediction system. Previous attempts to predict seizures by other groups had not been demonstrated to be statistically more successful than chance. The primary clinical findings from this group were published in a clinical paper; however much of the fundamental technology, including the strategy and techniques behind the development of the seizure advisory system have not been published. Development of this technology comprised several steps: a vast high quality database of EEG recordings was assembled, a structured approach to algorithm development was undertaken, an implantable 16-channel subdural neural monitoring and seizure advisory system was designed and built, preclinical studies were conducted in a canine model, and a First-In-Man study involving implantation of 15 patients followed for two years was conducted to evaluate the algorithm. The algorithm was successfully trained to correctly provide a) notification of a high likelihood of seizure in 11 of 14 patients, and b) notification of a low likelihood of seizure in 5 of 14 patients (NCT01043406). Continuous neural state monitoring shows promise for applications in seizure prediction and likelihood estimation, and insights for further research and development are drawn. View Full-Text
Keywords: intracranial monitoring; subdural electrodes; intracranial electrodes; seizure focus localization; chronic monitoring; epilepsy surgery; seizure monitoring; seizure prediction intracranial monitoring; subdural electrodes; intracranial electrodes; seizure focus localization; chronic monitoring; epilepsy surgery; seizure monitoring; seizure prediction
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed
Printed Edition Available!
A printed edition of this Special Issue is available here.

Share & Cite This Article

MDPI and ACS Style

DiLorenzo, D.J.; Leyde, K.W.; Kaplan, D. Neural State Monitoring in the Treatment of Epilepsy: Seizure Prediction—Conceptualization to First-In-Man Study. Brain Sci. 2019, 9, 156.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Brain Sci. EISSN 2076-3425 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top