Electromagnetic brain mapping
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Summary
The underlying models currently used in MEG/EEG source estimation are described and the various signal processing steps required to compute these sources are described.
- Type
- article
- Published
- 2001-11-01
- Cited by
- 1,815
- References
- 75
- OpenAlex
- https://openalex.org/W2016980059
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:62668597
Keywords
Magnetoencephalography, Computer science, Electroencephalography, Artificial intelligence, Signal processing
References
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- Functional magnetic resonance imaging: imaging techniques and contrast mechanisms.
- Non-invasive optical spectroscopy and imaging of human brain function.
- Covariance incorporated MEG-MUSIC algorithm and its application to detect SI and SII when large background brain activity exists
- Magnetoencephalography: Evidence of Magnetic Fields Produced by Alpha-Rhythm Currents
- Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem.
- APPLICATION OF DIPOLE LOCALIZATION METHODS TO SOURCE IDENTIFICATION OF HUMAN EVOKED POTENTIALS *
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- EEG source localization and imaging using multiple signal classification approaches.
- Conductivity Mapping of Biological Tissue Using Diffusion MRI
- Multiple dipole modeling and localization from spatio-temporal MEG data
- The application of electrical impedance tomography to reduce systematic errors in the EEG inverse problem - a simulation study
- Multi-start downhill simplex method for spatio-temporal source localization in magnetoencephalography.
- An Evaluation of Methods for Neuromagnetic Image Reconstruction
- Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach
Cited by
- Noninvasive Electromagnetic Methods for Brain Monitoring: A Technical Review
- Combining EEG and fMRI: A multimodal tool for epilepsy research
- Removing muscle and eye artifacts using blind source separation techniques in ictal EEG source imaging.
- Minimum Overlap Component Analysis (MOCA) of EEG/MEG data for more than two sources.
- Task-related MEG source localization via discriminant analysis
- A Tutorial Review of Electrical Neuroimaging From Group-Average to Single-Trial Event-Related Potentials
- Paradoxical Expectation: Oscillatory Brain Activity Reveals Social Interaction Impairment in Schizophrenia.
- Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints
- Neuromodulation for depression: Insights gained from neuroimaging and computational models
- Slowing of Hippocampal Activity Correlates with Cognitive Decline in Early Onset Alzheimer’s Disease. An MEG Study with Virtual Electrodes
- Pain anticipatory phenomena in patients with central poststroke pain: a magnetoencephalography study.
- Incorporating modern neuroscience findings to improve brain–computer interfaces: tracking auditory attention
- Magnetoencephalography: From SQUIDs to neuroscience: Neuroimage 20th Anniversary Special Edition
- The deployment of visual attention in autism spectrum disorders
- MEG. An introduction to methods
- Functional Neuroimaging of Electrophysiological Rhythms in Pathological and Normal Brains
- Influence of early life stress on psychophysiology in psychiatric patients
- Interfaces Cerveau-Machines basées sur l'imagination de mouvements brefs : vers des boutons contrôlés par la pensée. (Brain-Machine Interfaces based on brief imaginary movements: towards brain-controlled buttons)
- 階層変分ベイズ推定法(VBMEG)の原理と応用
- Functional imaging with low-resolution brain electromagnetic tomography (LORETA): a review.
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