From basic sciences and engineering to epileptology: A translational approach

Assi, Elie Bou, Schindler, Kaspar, de Bezenac, Christophe ORCID: 0000-0002-2433-9776, Denison, Timothy, Desai, Sharanya, Keller, Simon S ORCID: 0000-0001-5247-9795, Lemoine, Emile, Rahimi, Abbas, Shoaran, Mahsa and Rummel, Christian (2023) From basic sciences and engineering to epileptology: A translational approach. EPILEPSIA, 64 Sup (S3). S72-S84.

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Official URL: http://dx.doi.org/10.1111/epi.17566

Abstract

Collaborative 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.

Item Type:	Article
Uncontrolled Keywords:	electroencephalography, hyperdimensional computing, intelligent neural prostheses, magnetic resonance imaging, scientific platforms
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User:	Symplectic Admin
Date Deposited:	20 Apr 2023 08:22
Last Modified:	05 Jan 2024 06:28
DOI:	10.1111/epi.17566
Open Access URL:	https://doi.org/10.1111/epi.17566
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3169793