Translating seizure detection, prediction and brain stimulation into implantable devices for epilepsy

B. Litt; A. D'Alessandro; R. Esteller; J. Echauz; G. Vachtsevanos

doi:10.1109/CNE.2003.1196868

Translating seizure detection, prediction and brain stimulation into implantable devices for epilepsy

B. Litt
, A. D'Alessandro
, R. Esteller
, J. Echauz
, G. Vachtsevanos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Scopus citations

Abstract

The dramatic success of pacemakers, cardiac defibrillators, cochlear implants and now brain stimulation for movement disorders has kindled enormous interest in translating Neuroengineering research into practical therapy for neurological disease. Epilepsy, which affects 60 million people worldwide, is an excellent target for new medical devices. Recent research indicates that seizures are likely generated over minutes to hours in a stereotyped, individualized fashion. Focal electrical stimulation has been demonstrated to abort or reduce seizures in animal models of epilepsy and now in early pilot trials in humans. The process of turning these exciting new findings into reliable therapeutic devices is taking place in an iterative process in which animal and basic laboratory research proceeds in parallel with FDA-supervised pilot human studies. We present a scheme for quantifying seizure precursors and coupling these measures to brain stimulation to abort seizures. Models of this type provide an exciting opportunity for engineers, neuroscientists and clinicians to collaborate, with unprecedented opportunity to rapidly translate new findings into clinical treatments.

Original language	English (US)
Title of host publication	Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering
Editors	Laura J. Wolf, Jodi L. Strock
Publisher	IEEE Computer Society
Pages	485-488
Number of pages	4
ISBN (Electronic)	0780375793
DOIs	https://doi.org/10.1109/CNE.2003.1196868
State	Published - 2003
Externally published	Yes
Event	1st International IEEE EMBS Conference on Neural Engineering - Capri Island, Italy Duration: Mar 20 2003 → Mar 22 2003

Publication series

Name	International IEEE/EMBS Conference on Neural Engineering, NER
Volume	2003-January
ISSN (Print)	1948-3546
ISSN (Electronic)	1948-3554

Other

Other	1st International IEEE EMBS Conference on Neural Engineering
Country/Territory	Italy
City	Capri Island
Period	3/20/03 → 3/22/03

Bibliographical note

Publisher Copyright:
© 2003 IEEE.

Keywords

Animals
Brain stimulation
Cardiac disease
Cardiovascular diseases
Cochlear implants
Epilepsy
Humans
Medical treatment
Neural engineering
Pacemakers

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.1109/CNE.2003.1196868

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Litt, B., D'Alessandro, A., Esteller, R., Echauz, J., & Vachtsevanos, G. (2003). Translating seizure detection, prediction and brain stimulation into implantable devices for epilepsy. In L. J. Wolf, & J. L. Strock (Eds.), Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering (pp. 485-488). Article 1196868 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2003-January). IEEE Computer Society. https://doi.org/10.1109/CNE.2003.1196868

Translating seizure detection, prediction and brain stimulation into implantable devices for epilepsy. / Litt, B.; D'Alessandro, A.; Esteller, R. et al.
Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering. ed. / Laura J. Wolf; Jodi L. Strock. IEEE Computer Society, 2003. p. 485-488 1196868 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2003-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Litt, B, D'Alessandro, A, Esteller, R, Echauz, J & Vachtsevanos, G 2003, Translating seizure detection, prediction and brain stimulation into implantable devices for epilepsy. in LJ Wolf & JL Strock (eds), Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering., 1196868, International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2003-January, IEEE Computer Society, pp. 485-488, 1st International IEEE EMBS Conference on Neural Engineering, Capri Island, Italy, 3/20/03. https://doi.org/10.1109/CNE.2003.1196868

Litt B, D'Alessandro A, Esteller R, Echauz J, Vachtsevanos G. Translating seizure detection, prediction and brain stimulation into implantable devices for epilepsy. In Wolf LJ, Strock JL, editors, Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering. IEEE Computer Society. 2003. p. 485-488. 1196868. (International IEEE/EMBS Conference on Neural Engineering, NER). doi: 10.1109/CNE.2003.1196868

Litt, B. ; D'Alessandro, A. ; Esteller, R. et al. / Translating seizure detection, prediction and brain stimulation into implantable devices for epilepsy. Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering. editor / Laura J. Wolf ; Jodi L. Strock. IEEE Computer Society, 2003. pp. 485-488 (International IEEE/EMBS Conference on Neural Engineering, NER).

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AB - The dramatic success of pacemakers, cardiac defibrillators, cochlear implants and now brain stimulation for movement disorders has kindled enormous interest in translating Neuroengineering research into practical therapy for neurological disease. Epilepsy, which affects 60 million people worldwide, is an excellent target for new medical devices. Recent research indicates that seizures are likely generated over minutes to hours in a stereotyped, individualized fashion. Focal electrical stimulation has been demonstrated to abort or reduce seizures in animal models of epilepsy and now in early pilot trials in humans. The process of turning these exciting new findings into reliable therapeutic devices is taking place in an iterative process in which animal and basic laboratory research proceeds in parallel with FDA-supervised pilot human studies. We present a scheme for quantifying seizure precursors and coupling these measures to brain stimulation to abort seizures. Models of this type provide an exciting opportunity for engineers, neuroscientists and clinicians to collaborate, with unprecedented opportunity to rapidly translate new findings into clinical treatments.

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KW - Medical treatment

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ER -

Translating seizure detection, prediction and brain stimulation into implantable devices for epilepsy

Abstract

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Keywords

UN SDGs

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