ArticleNeuroImage2007
A novel integrated MEG and EEG analysis method for dipolar sources.
Article in NeuroImage, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 110 citations in OpenAlex.
- Retraining dorsal visual pathways improves cognitive skills and executive control networks following mild traumatic brain injury.Frontiers in human neuroscience · 2025Article
- Comparing the performance of beamformer algorithms in estimating orientations of neural sources.iScience · 2024Article
- Global sensitivity of EEG source analysis to tissue conductivity uncertainties.Frontiers in human neuroscience · 2024Article
- EMG-projected MEG high-resolution source imaging of human motor execution: Brain-muscle coupling above movement frequencies.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Identifying good practices for detecting inter-regional linear functional connectivity from EEG.NeuroImage · 2023Article
- Assessing Pediatric Mild Traumatic Brain Injury and Its Recovery Using Resting-State Magnetoencephalography Source Magnitude Imaging and Machine Learning.Journal of neurotrauma · 2023Article
- Two mechanisms facilitate regional independence between brain regions based on an examination of alpha-band activity in healthy control adult males.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2022Article
- Performance Analysis of Optically PumpedSensors (Basel, Switzerland) · 2022Article
- Validating EEG, MEG and Combined MEG and EEG Beamforming for an Estimation of the Epileptogenic Zone in Focal Cortical Dysplasia.Brain sciences · 2022Article
- A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources.Human brain mapping · 2021Article
- Resting-State Magnetoencephalography Source Imaging Pilot Study in Children with Mild Traumatic Brain Injury.Journal of neurotrauma · 2020Article
- The effect of stimulation type, head modeling, and combined EEG and MEG on the source reconstruction of the somatosensory P20/N20 component.Human brain mapping · 2019Article
- Wearable neuroimaging: Combining and contrasting magnetoencephalography and electroencephalography.NeuroImage · 2019Article
- Neural dynamics of semantic composition.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Interictal and ictal source localization for epilepsy surgery using high-density EEG with MEG: a prospective long-term study.Brain : a journal of neurology · 2019Article
- Electromagnetic source imaging in presurgical workup of patients with epilepsy: A prospective study.Neurology · 2019Article
- Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction.Frontiers in neuroscience · 2019Article
- Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy.Human brain mapping · 2018Article
- Zoomed MRI Guided by Combined EEG/MEG Source Analysis: A Multimodal Approach for Optimizing Presurgical Epilepsy Work-up and its Application in a Multi-focal Epilepsy Patient Case Study.Brain topography · 2017Article
- The Effect of Head Model Simplification on Beamformer Source Localization.Frontiers in neuroscience · 2017Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
The ability of magnetoencephalography (MEG) to accurately localize neuronal currents and obtain tangential components of the source is largely due to MEG's insensitivity to the conductivity profile of the head tissues. However, MEG cannot reliably detect the radial component of the neuronal current. In contrast, the localization accuracy of electroencephalography (EEG) is not as good as MEG, but EEG can detect both the tangential and radial components of the source. In the present study, we investigated the conductivity dependence in a new approach that combines MEG and EEG to accurately obtain, not only the location and tangential components, but also the radial component of the source. In this approach, the source location and tangential components are obtained from MEG alone, and optimal conductivity values of the EEG model are estimated by best-fitting EEG signal, while precisely matching the tangential components of the source in EEG and MEG. Then, the radial components are obtained from EEG using the previously estimated optimal conductivity values. Computer simulations testing this integrated approach demonstrated two main findings. First, there are well-organized optimal combinations of the conductivity values that provide an accurate fit to the combined MEG and EEG data. Second, the radial component, in addition to the location and tangential components, can be obtained with high accuracy without needing to know the precise conductivity profile of the head. We then demonstrated that this new approach performed reliably in an analysis of the 20-ms component from human somatosensory responses elicited by electric median-nerve stimulation.
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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.