Shamo: A Tool for Electromagnetic Modeling, Simulation and Sensitivity Analysis of the Head.
Martin GrignardChristophe GeuzaineChristophe PhillipsPublished in: Neuroinformatics (2022)
Accurate electromagnetic modeling of the head of a subject is of main interest in the fields of source reconstruction and brain stimulation. Those processes rely heavily on the quality of the model and, even though the geometry of the tissues can be extracted from magnetic resonance images (MRI) or computed tomography (CT), their physical properties such as the electrical conductivity are difficult to measure with non intrusive techniques. In this paper, we propose a tool to assess the uncertainty in the model parameters, the tissue conductivity, as well as compute a parametric forward models for electroencephalography (EEG) and transcranial direct current stimulation (tDCS) current distribution.
Keyphrases
- transcranial direct current stimulation
- contrast enhanced
- computed tomography
- magnetic resonance
- working memory
- magnetic resonance imaging
- resting state
- dual energy
- image quality
- positron emission tomography
- gene expression
- optic nerve
- deep learning
- functional connectivity
- physical activity
- high resolution
- mental health
- white matter
- convolutional neural network
- multiple sclerosis
- optical coherence tomography
- quality improvement
- mass spectrometry
- blood brain barrier