ArticleHuman brain mapping2021
A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed.
- Effects of the antibiotic rifaximin on cortical functional connectivity are mediated through insular cortex.Scientific reports · 2021Trial
- Review
- Quantifying cerebellar signal detectability in MEG and EEG in epilepsy using anatomically informed source modeling.NeuroImage · 2026Article
- Revolutionizing Pediatric Neurophysiology With Magnetoencephalography.Psychophysiology · 2026Review
- Improved Source Localization of Auditory Evoked Fields using Reciprocal BEM-FMM.Brain topography · 2026Article
- Optimizing electrode placement and information capacity for local field potentials in cortex.NeuroImage · 2026Article
- Inferring neural sources from electroencephalography: foundations and frontiers.Journal of neural engineering · 2026Review
- Quantifying Cerebellar Signal Detectability in MEG and EEG in Epilepsy Using Anatomically Informed Source Modeling.bioRxiv : the preprint server for biology · 2026Article
- Neuro-cortical signatures of attention in uni- and multi-sensory audio-visual processing in children.Neuroscience · 2026Article
- Exploring Deep Magnetoencephalography via Thalamo-Cortical Sleep Spindles.Human brain mapping · 2025Article
- Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.Nature biomedical engineering · 2025Review
- Wide-Based Illumination and Detection in Functional Near-Infrared Spectroscopy for Enhanced Seizure Detection in Grey Matter.Sensors (Basel, Switzerland) · 2025Article
- Relationship between regional relative theta power and amyloid deposition in mild cognitive impairment: an exploratory study.Frontiers in neuroscience · 2025Article
- Editorial: Forward and inverse solvers in multi-modal electric and magnetic brain imaging: theory, implementation, and application.Frontiers in human neuroscience · 2025Article
- M/EEG source localization for both subcortical and cortical sources using a convolutional neural network with a realistic head conductivity model.APL bioengineering · 2024Article
- The human olfactory bulb communicates perceived odor valence to the piriform cortex in the gamma band and receives a refined representation back in the beta band.PLoS biology · 2024Article
- MEG in MRI-Negative Patients with Focal Epilepsy.Journal of clinical medicine · 2024Review
- Applications of OPM-MEG for translational neuroscience: a perspective.Translational psychiatry · 2024Review
- CutFEM-based MEG forward modeling improves source separability and sensitivity to quasi-radial sources: A somatosensory group study.Human brain mapping · 2024Review
- Reliability of dynamic causal modelling of resting-state magnetoencephalography.Human brain mapping · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Signal-to-noise ratio (SNR) maps are a good way to visualize electroencephalography (EEG) and magnetoencephalography (MEG) sensitivity. SNR maps extend the knowledge about the modulation of EEG and MEG signals by source locations and orientations and can therefore help to better understand and interpret measured signals as well as source reconstruction results thereof. Our work has two main objectives. First, we investigated the accuracy and reliability of EEG and MEG finite element method (FEM)-based sensitivity maps for three different head models, namely an isotropic three and four-compartment and an anisotropic six-compartment head model. As a result, we found that ignoring the cerebrospinal fluid leads to an overestimation of EEG SNR values. Second, we examined and compared EEG and MEG SNR mappings for both cortical and subcortical sources and their modulation by source location and orientation. Our results for cortical sources show that EEG sensitivity is higher for radial and deep sources and MEG for tangential ones, which are the majority of sources. As to the subcortical sources, we found that deep sources with sufficient tangential source orientation are recordable by the MEG. Our work, which represents the first comprehensive study where cortical and subcortical sources are considered in highly detailed FEM-based EEG and MEG SNR mappings, sheds a new light on the sensitivity of EEG and MEG and might influence the decision of brain researchers or clinicians in their choice of the best modality for their experiment or diagnostics, respectively.
Indexed as
Identifiers
What OpenQuestion holds
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.