ArticleHuman brain mapping2009
Mapping the signal-to-noise-ratios of cortical sources in magnetoencephalography and electroencephalography.
Article in Human brain mapping, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
122 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- A systematic review of MEG-based studies in Parkinson's disease: The motor system and beyond.Human brain mapping · 2019Pooled it
- Connectivity changes underlying spectral EEG changes during propofol-induced loss of consciousness.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012Trial
- Noninvasive decoding of typed sentences from human brain activity.Nature neuroscience · 2026Article
- Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Quantifying cerebellar signal detectability in MEG and EEG in epilepsy using anatomically informed source modeling.NeuroImage · 2026Article
- BrainDEC: An M/EEG Unsupervised Representation Learning Framework with Disentangled Equivariance Constraint.Interdisciplinary sciences, computational life sciences · 2026Article
- Revolutionizing Pediatric Neurophysiology With Magnetoencephalography.Psychophysiology · 2026Review
- Improved Source Localization of Auditory Evoked Fields using Reciprocal BEM-FMM.Brain topography · 2026Article
- Decoding lower-limb movement attempts from electro-encephalographic signals in spinal cord injury patients.APL bioengineering · 2026Article
- The Spatio-Temporal Dynamics of Phoneme Encoding in Aging and Aphasia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Quantifying Cerebellar Signal Detectability in MEG and EEG in Epilepsy Using Anatomically Informed Source Modeling.bioRxiv : the preprint server for biology · 2026Article
- Article
- Head-Specific Spatial Spectra of Electroencephalography Explained: A Sphara and BEM Investigation.Biosensors · 2025Article
- Ictal MEG-EEG Study to Localize the Onset of Generalized Seizures: To See Beyond What Meets the Eye.Brain sciences · 2025Article
- Combined MEG and EEG suggest a limbic source network of the P3 including retrosplenial cortex and hippocampus.bioRxiv : the preprint server for biology · 2025Article
- Supplementary motor area in speech initiation: A large-scale intracranial EEG evaluation of stereotyped word articulation.iScience · 2025Article
- Human Auditory-Motor Networks Show Frequency-Specific Phase-Based Coupling in Resting-State MEG.Human brain mapping · 2025Article
- Word-selective EEG/MEG responses in the English language obtained with fast periodic visual stimulation (FPVS).Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Oscillatory Brain Activity in the Canonical Alpha-Band Conceals Distinct Mechanisms in Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
62 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Although magnetoencephalography (MEG) and electroencephalography (EEG) have been available for decades, their relative merits are still debated. We examined regional differences in signal-to-noise-ratios (SNRs) of cortical sources in MEG and EEG. Data from four subjects were used to simulate focal and extended sources located on the cortical surface reconstructed from high-resolution magnetic resonance images. The SNR maps for MEG and EEG were found to be complementary. The SNR of deep sources was larger in EEG than in MEG, whereas the opposite was typically the case for superficial sources. Overall, the SNR maps were more uniform for EEG than for MEG. When using a noise model based on uniformly distributed random sources on the cortex, the SNR in MEG was found to be underestimated, compared with the maps obtained with noise estimated from actual recorded MEG and EEG data. With extended sources, the total area of cortex in which the SNR was higher in EEG than in MEG was larger than with focal sources. Clinically, SNR maps in a patient explained differential sensitivity of MEG and EEG in detecting epileptic activity. Our results emphasize the benefits of recording MEG and EEG simultaneously.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.