Frontiers in Neuroscience (Apr 2024)
CiftiStorm pipeline: facilitating reproducible EEG/MEG source connectomics
- Ariosky Areces-Gonzalez,
- Ariosky Areces-Gonzalez,
- Deirel Paz-Linares,
- Deirel Paz-Linares,
- Usama Riaz,
- Ying Wang,
- Min Li,
- Min Li,
- Fuleah A. Razzaq,
- Jorge F. Bosch-Bayard,
- Eduardo Gonzalez-Moreira,
- Lifespan Brain Chart Consortium (LBCC),
- Global Brain Consortium (GBC),
- Cuban Human Brain Mapping Project (CHBMP),
- Marlis Ontivero-Ortega,
- Marlis Ontivero-Ortega,
- Lidice Galan-Garcia,
- Eduardo Martínez-Montes,
- Ludovico Minati,
- Ludovico Minati,
- Mitchell J. Valdes-Sosa,
- Maria L. Bringas-Vega,
- Maria L. Bringas-Vega,
- Pedro A. Valdes-Sosa,
- Pedro A. Valdes-Sosa
Affiliations
- Ariosky Areces-Gonzalez
- The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Ariosky Areces-Gonzalez
- School of Technical Sciences, University “Hermanos Saiz Montes de Oca” of Pinar del Río, Pinar del Rio, Cuba
- Deirel Paz-Linares
- The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Deirel Paz-Linares
- Department of Neuroinformatics, Cuban Neurosciences Center, Havana, Cuba
- Usama Riaz
- The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Ying Wang
- The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Min Li
- The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Min Li
- Hangzhou Dianzi University, Hangzhou, Zhejiang, China
- Fuleah A. Razzaq
- The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Jorge F. Bosch-Bayard
- McGill Centre for Integrative Neurosciences MCIN, LudmerCentre for Mental Health, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
- Eduardo Gonzalez-Moreira
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- Lifespan Brain Chart Consortium (LBCC)
- Global Brain Consortium (GBC)
- Cuban Human Brain Mapping Project (CHBMP)
- Marlis Ontivero-Ortega
- The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Marlis Ontivero-Ortega
- Department of Neuroinformatics, Cuban Neurosciences Center, Havana, Cuba
- Lidice Galan-Garcia
- Department of Neuroinformatics, Cuban Neurosciences Center, Havana, Cuba
- Eduardo Martínez-Montes
- Department of Neuroinformatics, Cuban Neurosciences Center, Havana, Cuba
- Ludovico Minati
- The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Ludovico Minati
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy
- Mitchell J. Valdes-Sosa
- Department of Neuroinformatics, Cuban Neurosciences Center, Havana, Cuba
- Maria L. Bringas-Vega
- The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Maria L. Bringas-Vega
- Department of Neuroinformatics, Cuban Neurosciences Center, Havana, Cuba
- Pedro A. Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Sciences Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Pedro A. Valdes-Sosa
- Department of Neuroinformatics, Cuban Neurosciences Center, Havana, Cuba
- DOI
- https://doi.org/10.3389/fnins.2024.1237245
- Journal volume & issue
-
Vol. 18
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.
Keywords
