ArticleBrain topography2015
MEG-EEG Information Fusion and Electromagnetic Source Imaging: From Theory to Clinical Application in Epilepsy.
Article in Brain topography, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07681869 (A Randomized Controlled Study on the Effects of Nimodipine on Alcohol Drinking Among Adults Who Are Heavy Alcohol Drinkers), which is not on this map. Cited by 22 papers.
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.
A Randomized Controlled Study on the Effects of Nimodipine on Alcohol Drinking Among Adults Who Are Heavy Alcohol Drinkers
Who cites it
22 citing papers in PubMed, 58 citations in OpenAlex.
- Complementary predictive value of electromagnetic source imaging and hemodynamic responses in epilepsy surgery: A quantitative spatial analysis.Epilepsia · 2026Article
- Noninvasive Biomarkers for Assessing the Excitatory/Inhibitory Imbalance in Children with Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- EEG Techniques with Brain Activity Localization, Specifically LORETA, and Its Applicability in Monitoring Schizophrenia.Journal of clinical medicine · 2024Review
- EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy.Human brain mapping · 2024Article
- Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy.Brain topography · 2024Article
- Pre-Operative Functional Mapping in Patients with Brain Tumors by fMRI and MEG: Advantages and Disadvantages in the Use of One Technique over the Other.Life (Basel, Switzerland) · 2023Review
- Combining electro- and magnetoencephalography data using directional archetypal analysis.Frontiers in neuroscience · 2022Article
- Imaging the extent and location of spatiotemporally distributed epileptiform sources from MEG measurements.NeuroImage. Clinical · 2022Article
- Ant Colony System Optimization for Spatiotemporal Modelling of Combined EEG and MEG Data.Entropy (Basel, Switzerland) · 2021Article
- Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients.Human brain mapping · 2020Article
- Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior.Journal of neural engineering · 2020Article
- Changing concepts in presurgical assessment for epilepsy surgery.Nature reviews. Neurology · 2019Review
- Comparison of source localization techniques in diffuse optical tomography for fNIRS application using a realistic head model.Biomedical optics express · 2018Article
- Magnetoencephalographic Mapping of Epileptic Spike Population Using Distributed Source Analysis: Comparison With Intracranial Electroencephalographic Spikes.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2018Article
- Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy.Human brain mapping · 2018Article
- Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole method.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
- A Review of Issues Related to Data Acquisition and Analysis in EEG/MEG Studies.Brain sciences · 2017Review
- Current and Emerging Potential of Magnetoencephalography in the Detection and Localization of High-Frequency Oscillations in Epilepsy.Frontiers in neurology · 2017Review
- Source localization of the seizure onset zone from ictal EEG/MEG data.Human brain mapping · 2016Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
The purpose of this study is to develop and quantitatively assess whether fusion of EEG and MEG (MEEG) data within the maximum entropy on the mean (MEM) framework increases the spatial accuracy of source localization, by yielding better recovery of the spatial extent and propagation pathway of the underlying generators of inter-ictal epileptic discharges (IEDs). The key element in this study is the integration of the complementary information from EEG and MEG data within the MEM framework. MEEG was compared with EEG and MEG when localizing single transient IEDs. The fusion approach was evaluated using realistic simulation models involving one or two spatially extended sources mimicking propagation patterns of IEDs. We also assessed the impact of the number of EEG electrodes required for an efficient EEG-MEG fusion. MEM was compared with minimum norm estimate, dynamic statistical parametric mapping, and standardized low-resolution electromagnetic tomography. The fusion approach was finally assessed on real epileptic data recorded from two patients showing IEDs simultaneously in EEG and MEG. Overall the localization of MEEG data using MEM provided better recovery of the source spatial extent, more sensitivity to the source depth and more accurate detection of the onset and propagation of IEDs than EEG or MEG alone. MEM was more accurate than the other methods. MEEG proved more robust than EEG and MEG for single IED localization in low signal-to-noise ratio conditions. We also showed that only few EEG electrodes are required to bring additional relevant information to MEG during MEM fusion.
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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.