ArticleNeuroImage2021
Spatial fidelity of MEG/EEG source estimates: A general evaluation approach.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.
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Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Tracking electrophysiological signatures of Alzheimer's disease: a systematic review of multimodal studies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Pooled it
- Multilayer MEG source modelling enables depth-resolved laminar inference in humans.Nature communications · 2026Article
- Quantifying cerebellar signal detectability in MEG and EEG in epilepsy using anatomically informed source modeling.NeuroImage · 2026Article
- Effects of Inverse Solutions and Calibration Errors on Localization Performance of OPM-MEG.Annals of biomedical engineering · 2026Article
- A Digital Anatomical Atlas of the Human Cerebellum at Subfolial Resolution.Human brain mapping · 2026Article
- Quantifying Cerebellar Signal Detectability in MEG and EEG in Epilepsy Using Anatomically Informed Source Modeling.bioRxiv : the preprint server for biology · 2026Article
- Locating the epileptogenic zone for drug-resistant epilepsy through neuroelectrophysiological brain network topology.Frontiers in neuroscience · 2026Article
- Optimization and Analysis of Tangential Component Orientations in OPM-MEG Sensor Array.Bioengineering (Basel, Switzerland) · 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
- Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time-Frequency Analysis and VGG Convolutional Neural Network.Bioengineering (Basel, Switzerland) · 2025Article
- NIRSTORM: a Brainstorm extension dedicated to functional near-infrared spectroscopy data analysis, advanced 3D reconstructions, and optimal probe design.Neurophotonics · 2025Article
- Traveling waves in the human visual cortex: An MEG-EEG model-based approach.PLoS computational biology · 2025Article
- Linear and nonlinear multidimensional functional connectivity methods reveal similar networks for semantic processing in EEG/MEG data.Frontiers in human neuroscience · 2025Article
- Source Causal Connectivity Noninvasively Predicting Surgical Outcomes of Drug-Refractory Epilepsy.CNS neuroscience & therapeutics · 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
- Left motor cortex contributes to auditory phonological discrimination.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Perceptual awareness of near-threshold tones scales gradually with auditory cortex activity and pupil dilation.iScience · 2024Article
- Improving source estimation of retinotopic MEG responses by combining data from multiple subjects.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- The effects of spatial leakage correction on the reliability of EEG-based functional connectivity networks.Human brain mapping · 2024Article
- Intracranial Mapping of Response Latencies and Task Effects for Spoken Syllable Processing in the Human Brain.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
Low spatial resolution is often cited as the most critical limitation of magneto- and electroencephalography (MEG and EEG), but a unifying framework for quantifying the spatial fidelity of M/EEG source estimates has yet to be established; previous studies have focused on linear estimation methods under ideal scenarios without noise. Here we present an approach that quantifies the spatial fidelity of M/EEG estimates from simulated patch activations over the entire neocortex superposed on measured resting-state data. This approach grants more generalizability in the evaluation process that allows for, e.g., comparing linear and non-linear estimates in the whole brain for different signal-to-noise ratios (SNR), number of active sources and activation waveforms. Using this framework, we evaluated the MNE, dSPM, sLORETA, eLORETA, and MxNE methods and found that the spatial fidelity varies significantly with SNR, following a largely sigmoidal curve whose shape varies depending on which aspect of spatial fidelity that is being quantified and the source estimation method. We believe that these methods and results will be useful when interpreting M/EEG source estimates as well as in methods development.
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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.