Electrode Development for Epilepsy Diagnosis and Treatment.


Journal

Neurosurgery clinics of North America
ISSN: 1558-1349
Titre abrégé: Neurosurg Clin N Am
Pays: United States
ID NLM: 9008004

Informations de publication

Date de publication:
Jan 2024
Historique:
medline: 27 11 2023
pubmed: 25 11 2023
entrez: 24 11 2023
Statut: ppublish

Résumé

Recording neural activity has been a critical aspect in the diagnosis and treatment of patients with epilepsy. For those with intractable epilepsy, intracranial neural monitoring has been of substantial importance. Clinically, however, methods for recording neural information have remained essentially unchanged for decades. Over the last decade or so, rapid advances in electrode technology have begun to change this landscape. New systems allow for the observation of neural activity with high spatial resolution and, in some cases, at the level of the activity of individual neurons. These new tools have contributed greatly to our understanding of brain function and dysfunction. Here, the authors review the primary technologies currently in use in humans. The authors discuss other possible systems, some of the challenges which come along with these devices, and how they will become incorporated into the clinical workflow. Ultimately, the expectation is that these new, high-density, high-spatial-resolution recording systems will become a valuable part of the clinical arsenal used in the diagnosis and surgical management of epilepsy.

Identifiants

pubmed: 38000837
pii: S1042-3680(23)00099-2
doi: 10.1016/j.nec.2023.09.003
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

135-149

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure The MGH Translational Research Center has clinical research support agreements with Neuralink, Paradromics, and Synchron, for which S.S. Cash provides consultative input. The remaining authors declare no competing interests.

Auteurs

Angelique C Paulk (AC)

Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA. Electronic address: apaulk@mgh.harvard.edu.

Pariya Salami (P)

Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA.

Rina Zelmann (R)

Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA.

Sydney S Cash (SS)

Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA.

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Classifications MeSH