From basic sciences and engineering to epileptology: A translational approach-Reference-Cited by-同舟云学术

From basic sciences and engineering to epileptology: A translational approach

Published:2023-03-20 Issue:S3 Volume:64 Page:
ISSN:0013-9580
Container-title:Epilepsia
language:en
Short-container-title:Epilepsia

Author:

Bou Assi Elie¹²^ORCID,Schindler Kaspar³^ORCID,de Bézenac Christophe⁴⁵^ORCID,Denison Timothy⁶⁷,Desai Sharanya⁸,Keller Simon S.⁴⁵^ORCID,Lemoine Émile²⁹^ORCID,Rahimi Abbas¹⁰,Shoaran Mahsa¹¹,Rummel Christian¹²

Affiliation:

1. Department of Neuroscience Université de Montréal Montréal Canada

2. Centre de Recherche du CHUM (CRCHUM) Montréal Canada

3. Department of Neurology, Inselspital, Sleep‐Wake‐Epilepsy‐Center, Bern University Hospital Bern University Bern Switzerland

4. Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology University of Liverpool Liverpool UK

5. The Walton Centre NHS Foundation Trust Liverpool UK

6. MRC Brain Network Dynamics Unit University of Oxford Oxford UK

7. Department of Engineering Science University of Oxford Oxford UK

8. NeuroPace, Inc. Mountain View California USA

9. Institute of Biomedical Engineering, Polytechnique Montréal Montréal Canada

10. IBM Research Zurich Rüschlikon Switzerland

11. Institute of Electrical and Micro Engineering, Neuro‐X Institute EPFL Lausanne Switzerland

12. Support Center for Advanced Neuroimaging (SCAN), University Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital University of Bern Bern Switzerland

Abstract

AbstractCollaborative efforts between basic scientists, engineers, and clinicians are enabling translational epileptology. In this article, we summarize the recent advances presented at the International Conference for Technology and Analysis of Seizures (ICTALS 2022): (1) novel developments of structural magnetic resonance imaging; (2) latest electroencephalography signal‐processing applications; (3) big data for the development of clinical tools; (4) the emerging field of hyperdimensional computing; (5) the new generation of artificial intelligence (AI)–enabled neuroprostheses; and (6) the use of collaborative platforms to facilitate epilepsy research translation. We highlight the promise of AI reported in recent investigations and the need for multicenter data‐sharing initiatives.

Funder

Institut de Valorisation des Données

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

Subject

Neurology (clinical),Neurology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/epi.17566

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