Noninvasive Mapping of Ripple Onset Predicts Outcome in Epilepsy Surgery.


Journal

Annals of neurology
ISSN: 1531-8249
Titre abrégé: Ann Neurol
Pays: United States
ID NLM: 7707449

Informations de publication

Date de publication:
05 2021
Historique:
revised: 09 03 2021
received: 28 09 2020
accepted: 10 03 2021
pubmed: 13 3 2021
medline: 27 5 2021
entrez: 12 3 2021
Statut: ppublish

Résumé

Intracranial electroencephalographic (icEEG) studies show that interictal ripples propagate across the brain of children with medically refractory epilepsy (MRE), and the onset of this propagation (ripple onset zone [ROZ]) estimates the epileptogenic zone. It is still unknown whether we can map this propagation noninvasively. The goal of this study is to map ripples (ripple zone [RZ]) and their propagation onset (ROZ) using high-density EEG (HD-EEG) and magnetoencephalography (MEG), and to estimate their prognostic value in pediatric epilepsy surgery. We retrospectively analyzed simultaneous HD-EEG and MEG data from 28 children with MRE who underwent icEEG and epilepsy surgery. Using electric and magnetic source imaging, we estimated virtual sensors (VSs) at brain locations that matched the icEEG implantation. We detected ripples on VSs, defined the virtual RZ and virtual ROZ, and estimated their distance from icEEG. We assessed the predictive value of resecting virtual RZ and virtual ROZ for postsurgical outcome. Interictal spike localization on HD-EEG and MEG was also performed and compared with ripples. We mapped ripple propagation in all patients with HD-EEG and in 27 (96%) patients with MEG. The distance from icEEG did not differ between HD-EEG and MEG when mapping the RZ (26-27mm, p = 0.6) or ROZ (22-24mm, p = 0.4). Resecting the virtual ROZ, but not virtual RZ or the sources of spikes, was associated with good outcome for HD-EEG (p = 0.016) and MEG (p = 0.047). HD-EEG and MEG can map interictal ripples and their propagation onset (virtual ROZ). Noninvasively mapping the ripple onset may augment epilepsy surgery planning and improve surgical outcome of children with MRE. ANN NEUROL 2021;89:911-925.

Identifiants

pubmed: 33710676
doi: 10.1002/ana.26066
pmc: PMC8229023
mid: NIHMS1713878
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

911-925

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS104116
Pays : United States
Organisme : NINDS NIH HHS
ID : R21 NS101373
Pays : United States
Organisme : NINDS NIH HHS
ID : 7R01NS104116
Pays : United States
Organisme : NINDS NIH HHS
ID : 7R21NS101373
Pays : United States

Informations de copyright

© 2021 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.

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Auteurs

Eleonora Tamilia (E)

Laboratory of Children's Brain Dynamics, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA.
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA.

Margherita A G Matarrese (MAG)

Laboratory of Children's Brain Dynamics, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA.
Laboratory of Nonlinear Physics and Mathematical Modeling, Department of Engineering, University Bio-Medico Campus of Rome, Rome, Italy.

Georgios Ntolkeras (G)

Laboratory of Children's Brain Dynamics, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA.
Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA.

P Ellen Grant (PE)

Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA.

Joseph R Madsen (JR)

Epilepsy Surgery Program, Department of Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, MA.

Steve M Stufflebeam (SM)

Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA.

Phillip L Pearl (PL)

Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA.

Christos Papadelis (C)

Laboratory of Children's Brain Dynamics, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA.
Jane and John Justin Neurosciences Center, Cook Children's Health Care System, Fort Worth, TX.
School of Medicine, Texas Christian University and University of North Texas Health Science Center, Fort Worth, TX.
Department of Bioengineering, University of Texas at Arlington, Arlington, TX.

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Classifications MeSH