Virtual intracranial EEG signals reconstructed from MEG with potential for epilepsy surgery.

Electrocorticography / methods Electroencephalography / methods Epilepsy / surgery Humans Magnetoencephalography / methods Seizures

Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
22 02 2022
Historique:
received: 23 01 2021
accepted: 28 01 2022
entrez: 23 2 2022
pubmed: 24 2 2022
medline: 13 4 2022
Statut: epublish

Résumé

Modelling the interactions that arise from neural dynamics in seizure genesis is challenging but important in the effort to improve the success of epilepsy surgery. Dynamical network models developed from physiological evidence offer insights into rapidly evolving brain networks in the epileptic seizure. A limitation of previous studies in this field is the dependence on invasive cortical recordings with constrained spatial sampling of brain regions that might be involved in seizure dynamics. Here, we propose virtual intracranial electroencephalography (ViEEG), which combines non-invasive ictal magnetoencephalographic imaging (MEG), dynamical network models and a virtual resection technique. In this proof-of-concept study, we show that ViEEG signals reconstructed from MEG alone preserve critical temporospatial characteristics for dynamical approaches to identify brain areas involved in seizure generation. We show the non-invasive ViEEG approach may have some advantage over intracranial electroencephalography (iEEG). Future work may be designed to test the potential of the virtual iEEG approach for use in surgical management of epilepsy.

Identifiants

DOI: 10.1038/s41467-022-28640-x PMID: 35194035 PMC: PMC8863890
pubmed: 35194035
doi: 10.1038/s41467-022-28640-x
pii: 10.1038/s41467-022-28640-x
pmc: PMC8863890
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

994

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N01524X/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 204909/Z/16/Z
Pays : United Kingdom

Informations de copyright

© 2022. The Author(s).

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Auteurs

Miao Cao (M)

Department of Medicine St Vincent's Hospital, The University of Melbourne, Melbourne, Australia.
Centre for Clinical Neurosciences and Neurological Research, St Vincent's Hospital Melbourne, Melbourne, Australia.

Daniel Galvis (D)

Translational Research Exchange at Exeter, University of Exeter, Exeter, UK.
Living Systems Institute, University of Exeter, Exeter, UK.
Centre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Birmingham, UK.
Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
ORCID: 0000-0002-6911-8950

Simon J Vogrin (SJ)

Department of Medicine St Vincent's Hospital, The University of Melbourne, Melbourne, Australia.
Centre for Clinical Neurosciences and Neurological Research, St Vincent's Hospital Melbourne, Melbourne, Australia.
Faculty of Health, Art and Design, Swinburne University of Technology, Melbourne, Australia.

William P Woods (WP)

Faculty of Health, Art and Design, Swinburne University of Technology, Melbourne, Australia.

Sara Vogrin (S)

Department of Medicine St Vincent's Hospital, The University of Melbourne, Melbourne, Australia.
Department of Medicine Western Health, The University of Melbourne, Melbourne, Australia.

Fan Wang (F)

State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
CAS Centre for Excellence in Brain Science and Intelligence Technology, Beijing, China.
University of Chinese Academy of Sciences, Beijing, China.

Wessel Woldman (W)

Translational Research Exchange at Exeter, University of Exeter, Exeter, UK.
Living Systems Institute, University of Exeter, Exeter, UK.
Centre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Birmingham, UK.
Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.

John R Terry (JR)

Translational Research Exchange at Exeter, University of Exeter, Exeter, UK.
Living Systems Institute, University of Exeter, Exeter, UK.
Centre for Systems Modelling and Quantitative Biomedicine, University of Birmingham, Birmingham, UK.
Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.

Andre Peterson (A)

Department of Medicine St Vincent's Hospital, The University of Melbourne, Melbourne, Australia.
Centre for Clinical Neurosciences and Neurological Research, St Vincent's Hospital Melbourne, Melbourne, Australia.
Department of Biomedical Engineering, The University of Melbourne, Melbourne, Australia.

Chris Plummer (C)

Department of Medicine St Vincent's Hospital, The University of Melbourne, Melbourne, Australia. chris.plummer@svha.org.au.
Centre for Clinical Neurosciences and Neurological Research, St Vincent's Hospital Melbourne, Melbourne, Australia. chris.plummer@svha.org.au.
Faculty of Health, Art and Design, Swinburne University of Technology, Melbourne, Australia. chris.plummer@svha.org.au.
ORCID: 0000-0001-5434-1343

Mark J Cook (MJ)

Department of Medicine St Vincent's Hospital, The University of Melbourne, Melbourne, Australia.
Centre for Clinical Neurosciences and Neurological Research, St Vincent's Hospital Melbourne, Melbourne, Australia.
Department of Biomedical Engineering, The University of Melbourne, Melbourne, Australia.

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Classifications MeSH

questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Électrodiagnostic › Électrocorticographie › Virtual intracranial EEG signals reconstructed...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Électrodiagnostic › Électroencéphalographie › Virtual intracranial EEG signals reconstructed...
questionsmedicales.fr › Maladies du système nerveux › Maladies du système nerveux central › Encéphalopathies › Épilepsie › Virtual intracranial EEG signals reconstructed...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Virtual intracranial EEG signals reconstructed...
questionsmedicales.fr › Techniques d'investigation › Magnétométrie › Magnétoencéphalographie › Virtual intracranial EEG signals reconstructed...
questionsmedicales.fr › États, signes et symptômes pathologiques › Signes et symptômes › Manifestations neurologiques › Crises épileptiques › Virtual intracranial EEG signals reconstructed...