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Structural templates for imaging EEG cortical sources in infants.
O'Reilly, Christian; Larson, Eric; Richards, John E; Elsabbagh, Mayada.
Afiliação
  • O'Reilly C; Montreal Neurological Institute, Azrieli Centre for Autism Research, McGill University, 3775 Rue University, Room C18, Duff Medical Building, Montreal, Québec H3A 2B4, Canada. Electronic address: christian.oreilly@mcgill.ca.
  • Larson E; Institute for Learning and Brain Sciences, University of Washington, Seattle, WA, USA.
  • Richards JE; Department of Psychology, University of South Carolina, USA; Institute for Mind and Brain, University of South Carolina, USA.
  • Elsabbagh M; Montreal Neurological Institute, Azrieli Centre for Autism Research, McGill University, 3775 Rue University, Room C18, Duff Medical Building, Montreal, Québec H3A 2B4, Canada.
Neuroimage ; 227: 117682, 2021 02 15.
Article em En | MEDLINE | ID: mdl-33359339
Electroencephalographic (EEG) source reconstruction is a powerful approach that allows anatomical localization of electrophysiological brain activity. Algorithms used to estimate cortical sources require an anatomical model of the head and the brain, generally reconstructed using magnetic resonance imaging (MRI). When such scans are unavailable, a population average can be used for adults, but no average surface template is available for cortical source imaging in infants. To address this issue, we introduce a new series of 13 anatomical models for subjects between zero and 24 months of age. These templates are built from MRI averages and boundary element method (BEM) segmentation of head tissues available as part of the Neurodevelopmental MRI Database. Surfaces separating the pia mater, the gray matter, and the white matter were estimated using the Infant FreeSurfer pipeline. The surface of the skin as well as the outer and inner skull surfaces were extracted using a cube marching algorithm followed by Laplacian smoothing and mesh decimation. We post-processed these meshes to correct topological errors and ensure watertight meshes. Source reconstruction with these templates is demonstrated and validated using 100 high-density EEG recordings from 7-month-old infants. Hopefully, these templates will support future studies on EEG-based neuroimaging and functional connectivity in healthy infants as well as in clinical pediatric populations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Encéfalo / Mapeamento Encefálico / Eletroencefalografia / Modelos Anatômicos Limite: Female / Humans / Infant / Male / Newborn Idioma: En Revista: Neuroimage Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Encéfalo / Mapeamento Encefálico / Eletroencefalografia / Modelos Anatômicos Limite: Female / Humans / Infant / Male / Newborn Idioma: En Revista: Neuroimage Ano de publicação: 2021 Tipo de documento: Article