Magnetoencephalography for the pediatric population, indications, acquisition and interpretation for the clinician.

Magnetoencephalography clinical connectivity epilepsy neurophysiology

Journal

The neuroradiology journal
ISSN: 2385-1996
Titre abrégé: Neuroradiol J
Pays: United States
ID NLM: 101295103

Informations de publication

Date de publication:
12 Jun 2024
Historique:
medline: 12 6 2024
pubmed: 12 6 2024
entrez: 12 6 2024
Statut: aheadofprint

Résumé

Magnetoencephalography (MEG) is an imaging technique that enables the assessment of cortical activity via direct measures of neurophysiology. It is a non-invasive and passive technique that is completely painless. MEG has gained increasing prominence in the field of pediatric neuroimaging. This dedicated review article for the pediatric population summarizes the fundamental technical and clinical aspects of MEG for the clinician. We discuss methods tailored for children to improve data quality, including child-friendly MEG facility environments and strategies to mitigate motion artifacts. We provide an in-depth overview on accurate localization of neural sources and different analysis methods, as well as data interpretation. The contemporary platforms and approaches of two quaternary pediatric referral centers are illustrated, shedding light on practical implementations in clinical settings. Finally, we describe the expanding clinical applications of MEG, including its pivotal role in presurgical evaluation of epilepsy patients, presurgical mapping of eloquent cortices (somatosensory and motor cortices, visual and auditory cortices, lateralization of language), its emerging relevance in autism spectrum disorder research and potential future clinical applications, and its utility in assessing mild traumatic brain injury. In conclusion, this review serves as a comprehensive resource of clinicians as well as researchers, offering insights into the evolving landscape of pediatric MEG. It discusses the importance of technical advancements, data acquisition strategies, and expanding clinical applications in harnessing the full potential of MEG to study neurological conditions in the pediatric population.

Identifiants

pubmed: 38864180
doi: 10.1177/19714009241260801
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

19714009241260801

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Adam A Dmytriw (AA)

Department of Radiology, Boston Children's Hospital, Boston, MA, USA.
Division of Neuroradiology, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.

Aristides Hadjinicolaou (A)

Division of Neurology, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Department of Neurology, Division of Epilepsy and Clinical Neurophysiology, Boston Children's Hospital, Boston, MA, USA.

Georgios Ntolkeras (G)

Department of Pediatrics, Division of Newborn Medicine, Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, MA, USA.

Eleonora Tamilia (E)

Department of Pediatrics, Division of Newborn Medicine, Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, MA, USA.

Matthew Pesce (M)

Department of Pediatrics, Division of Newborn Medicine, Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, MA, USA.

Laura F Berto (LF)

Department of Pediatrics, Division of Newborn Medicine, Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, MA, USA.

P Ellen Grant (PE)

Department of Radiology, Boston Children's Hospital, Boston, MA, USA.
Department of Pediatrics, Division of Newborn Medicine, Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, MA, USA.

Elizabeth Pang (E)

Division of Neurology, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.

Banu Ahtam (B)

Department of Pediatrics, Division of Newborn Medicine, Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, MA, USA.

Classifications MeSH