<scp>WONOEP</scp> 2022: Neurotechnology for the diagnosis of epilepsy-Reference-Cited by-同舟云学术

WONOEP 2022: Neurotechnology for the diagnosis of epilepsy

Published:2024-06-03 Issue:8 Volume:65 Page:2238-2247
ISSN:0013-9580
Container-title:Epilepsia
language:en
Short-container-title:Epilepsia

Author:

Wagstyl Konrad¹²^ORCID,Kobow Katja³^ORCID,Casillas‐Espinosa Pablo M.⁴⁵⁶^ORCID,Cole Andrew J.⁷^ORCID,Jiménez‐Jiménez Diego⁸⁹,Nariai Hiroki¹⁰^ORCID,Baulac Stéphanie¹¹^ORCID,O'Brien Terence⁴⁵⁶,Henshall David C.¹²¹³^ORCID,Akman Ozlem¹⁴^ORCID,Sankar Raman¹⁵¹⁶,Galanopoulou Aristea S.¹⁷^ORCID,Auvin Stéphane¹⁸¹⁹²⁰^ORCID

Affiliation:

1. School of Biomedical Engineering & Imaging Science King's College London London UK

2. Developmental Neurosciences, UCL Great Ormond Street for Child Health UCL London UK

3. Institute of Neuropathology, Universitätsklinikum Erlangen, Friedrich‐Alexander‐Universität Erlangen‐Nürnberg Erlangen Germany

4. Department of Medicine, Royal Melbourne Hospital University of Melbourne Parkville Victoria Australia

5. Department of Neuroscience, Central Clinical School Monash University Melbourne Victoria Australia

6. Department of Neurology Alfred Hospital Melbourne Victoria Australia

7. MGH Epilepsy Service, Division of Clinical Neurophysiology, Department of Neurology Massachusetts General Hospital, Harvard Medical School Boston Massachusetts USA

8. Department of Basic and Clinical Neuroscience Institute of Psychiatry, Psychology, and Neuroscience, King's College London London UK

9. Department of Clinical and Experimental Epilepsy UCL Queen Square Institute of Neurology London UK

10. Division of Pediatric Neurology, Department of Pediatrics UCLA Medical Center Los Angeles California USA

11. Institut du Cerveau–Paris Brain Institute–ICM, INSERM, CNRS, Sorbonne Université Paris France

12. FutureNeuro SFI Research Centre RCSI University of Medicine and Health Sciences Dublin Ireland

13. Department of Physiology and Medical Physics RCSI University of Medicine and Health Sciences Dublin Ireland

14. Department of Physiology, Faculty of Medicine Demiroglu Bilim University Istanbul Turkey

15. Division of Pediatric Neurology, Department of Pediatrics UCLA Mattel Children's Hospital, David Geffen School of Medicine Los Angeles California USA

16. UCLA Children's Discovery and Innovation Institute California Los Angeles USA

17. Saul R. Korey Department of Neurology, Isabelle Rapin Division of Child Neurology, Laboratory of Developmental Epilepsy, Dominick P. Purpura Department of Neuroscience Albert Einstein College of Medicine Bronx New York USA

18. Université Paris‐Cité, INSERM NeuroDiderot Paris France

19. Pediatric Neurology Department APHP, Robert Debré University Hospital, CRMR Epilepsies Rares, EpiCARE member Paris France

20. Institut Universitaire de France Paris France

Abstract

AbstractEpilepsy's myriad causes and clinical presentations ensure that accurate diagnoses and targeted treatments remain a challenge. Advanced neurotechnologies are needed to better characterize individual patients across multiple modalities and analytical techniques. At the XVIth Workshop on Neurobiology of Epilepsy: Early Onset Epilepsies: Neurobiology and Novel Therapeutic Strategies (WONOEP 2022), the session on “advanced tools” highlighted a range of approaches, from molecular phenotyping of genetic epilepsy models and resected tissue samples to imaging‐guided localization of epileptogenic tissue for surgical resection of focal malformations. These tools integrate cutting edge research, clinical data acquisition, and advanced computational methods to leverage the rich information contained within increasingly large datasets. A number of common challenges and opportunities emerged, including the need for multidisciplinary collaboration, multimodal integration, potential ethical challenges, and the multistage path to clinical translation. Despite these challenges, advanced epilepsy neurotechnologies offer the potential to improve our understanding of the underlying causes of epilepsy and our capacity to provide patient‐specific treatment.

Funder

National Institutes of Health

American Epilepsy Society

U.S. Department of Defense

Wellcome Trust

National Health and Medical Research Council

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/epi.18028

Reference61 articles.

1. 7T Epilepsy Task Force Consensus Recommendations on the Use of 7T MRI in Clinical Practice

2. High-density single-unit human cortical recordings using the Neuropixels probe

3. Molecular diagnostics in drug‐resistant focal epilepsy define new disease entities

4. Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review

5. SpitzerH RipartM FawazA WilliamsLZJ RobinsonEC IglesiasJE et al.Robust and Generalisable Segmentation of Subtle Epilepsy‐Causing Lesions: A Graph Convolutional Approach. In:Greenspan H. et al.Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. MICCAI 2023. Lecture Notes in Computer Science vol 14227.Springer Cham.https://doi.org/10.1007/978‐3‐031‐43993‐3_41