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CiftiStorm pipeline: facilitating reproducible EEG/MEG source connectomics.
Areces-Gonzalez, Ariosky; Paz-Linares, Deirel; Riaz, Usama; Wang, Ying; Li, Min; Razzaq, Fuleah A; Bosch-Bayard, Jorge F; Gonzalez-Moreira, Eduardo; Ontivero-Ortega, Marlis; Galan-Garcia, Lidice; Martínez-Montes, Eduardo; Minati, Ludovico; Valdes-Sosa, Mitchell J; Bringas-Vega, Maria L; Valdes-Sosa, Pedro A.
Afiliación
  • Areces-Gonzalez A; The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
  • Paz-Linares D; School of Technical Sciences, University "Hermanos Saiz Montes de Oca" of Pinar del Río, Pinar del Rio, Cuba.
  • Riaz U; The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
  • Wang Y; Department of Neuroinformatics, Cuban Neurosciences Center, Havana, Cuba.
  • Li M; The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
  • Razzaq FA; The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
  • Bosch-Bayard JF; The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
  • Gonzalez-Moreira E; Hangzhou Dianzi University, Hangzhou, Zhejiang, China.
  • Minati L; The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
  • Valdes-Sosa MJ; Department of Neuroinformatics, Cuban Neurosciences Center, Havana, Cuba.
  • Bringas-Vega ML; Department of Neuroinformatics, Cuban Neurosciences Center, Havana, Cuba.
  • Valdes-Sosa PA; Department of Neuroinformatics, Cuban Neurosciences Center, Havana, Cuba.
Front Neurosci ; 18: 1237245, 2024.
Article en En | MEDLINE | ID: mdl-38680452
ABSTRACT
We present CiftiStorm, an electrophysiological source imaging (ESI) pipeline incorporating recently developed methods to improve forward and inverse solutions. The CiftiStorm pipeline produces Human Connectome Project (HCP) and megconnectome-compliant outputs from dataset inputs with varying degrees of spatial resolution. The input data can range from low-sensor-density electroencephalogram (EEG) or magnetoencephalogram (MEG) recordings without structural magnetic resonance imaging (sMRI) to high-density EEG/MEG recordings with an HCP multimodal sMRI compliant protocol. CiftiStorm introduces a numerical quality control of the lead field and geometrical corrections to the head and source models for forward modeling. For the inverse modeling, we present a Bayesian estimation of the cross-spectrum of sources based on multiple priors. We facilitate ESI in the T1w/FSAverage32k high-resolution space obtained from individual sMRI. We validate this feature by comparing CiftiStorm outputs for EEG and MRI data from the Cuban Human Brain Mapping Project (CHBMP) acquired with technologies a decade before the HCP MEG and MRI standardized dataset.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurosci Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurosci Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza