ArticleHuman brain mapping2020
Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Complementary predictive value of electromagnetic source imaging and hemodynamic responses in epilepsy surgery: A quantitative spatial analysis.Epilepsia · 2026Article
- Sleep magnetoencephalography enhances detection and source imaging of seizures and fast oscillations in focal cortical dysplasia.Epilepsia · 2026Article
- Utility of stereo-electroencephalography in patients with bilateral independent/unclear scalp electroencephalographic seizure onset.Epilepsia · 2026Article
- Neuroimaging of Ictal MEG: An Evaluation of Magnetic Source Imaging Techniques.Brain topography · 2025Article
- Distributions and network changes of brain activity in the acute phase of anti-NMDAR encephalitis: a MEG study.Journal of neurology · 2025Article
- Deep learning-based EEG source imaging is robust under varying electrode configurations.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025Article
- NIRSTORM: a Brainstorm extension dedicated to functional near-infrared spectroscopy data analysis, advanced 3D reconstructions, and optimal probe design.Neurophotonics · 2025Article
- 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
- Consistency of electrical source imaging in presurgical evaluation of epilepsy across different vigilance states.Annals of clinical and translational neurology · 2024Article
- Feasibility of high-density electric source imaging in the presurgical workflow: Effect of number of spikes and automated spike detection.Epilepsia open · 2023Article
- Integration of interictal EEG source localization in presurgical epilepsy evaluation - A single-center prospective study.Epilepsia open · 2023Article
- Article
- Hierarchical Bayesian modeling of the relationship between task-related hemodynamic responses and cortical excitability.Human brain mapping · 2023Article
- Hemodynamic correlates of fluctuations in neuronal excitability: A simultaneous Paired Associative Stimulation (PAS) and functional near infra-red spectroscopy (fNIRS) study.Neuroimage. Reports · 2022Article
- Diffuse optical reconstructions of functional near infrared spectroscopy data using maximum entropy on the mean.Scientific reports · 2022Article
- Case Report: Laser Ablation Guided by State of the Art Source Imaging Ends an Adolescent's 16-Year Quest for Seizure Freedom.Frontiers in human neuroscience · 2022Article
- Contributions of Magnetoencephalography to Understanding Mechanisms of Generalized Epilepsies: Blurring the Boundary Between Focal and Generalized Epilepsies?Frontiers in neurology · 2022Review
- Electric Source Imaging on Intracranial EEG Localizes Spatiotemporal Propagation of Interictal Spikes in Children with Epilepsy.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021Article
- Evaluation of a personalized functional near infra-red optical tomography workflow using maximum entropy on the mean.Human brain mapping · 2021Article
- How cerebral cortex protects itself from interictal spikes: The alpha/beta inhibition mechanism.Human brain mapping · 2021Article
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8 authors.
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Abstract
Source localization of interictal epileptiform discharges (IEDs) is clinically useful in the presurgical workup of epilepsy patients. We aimed to compare the performance of four different distributed magnetic source imaging (dMSI) approaches: Minimum norm estimate (MNE), dynamic statistical parametric mapping (dSPM), standardized low-resolution electromagnetic tomography (sLORETA), and coherent maximum entropy on the mean (cMEM). We also evaluated whether a simple average of maps obtained from multiple inverse solutions (Ave) can improve localization accuracy. We analyzed dMSI of 206 IEDs derived from magnetoencephalography recordings in 28 focal epilepsy patients who had a well-defined focus determined through intracranial EEG (iEEG), epileptogenic MRI lesions or surgical resection. dMSI accuracy and spatial properties were quantitatively estimated as: (a) distance from the epilepsy focus, (b) reproducibility, (c) spatial dispersion (SD), (d) map extension, and (e) effect of thresholding on map properties. Clinical performance was excellent for all methods (median distance from the focus MNE = 2.4 mm; sLORETA = 3.5 mm; cMEM = 3.5 mm; dSPM = 6.8 mm, Ave = 0 mm). Ave showed the lowest distance between the map maximum and epilepsy focus (Dmin lower than cMEM, MNE, and dSPM, p = .021, p = .008, p < .001, respectively). cMEM showed the best spatial features, with lowest SD outside the focus (SD lower than all other methods, p < .001 consistently) and high contrast between the generator and surrounding regions. The average map Ave provided the best localization accuracy, whereas cMEM exhibited the lowest amount of spurious distant activity. dMSI techniques have the potential to significantly improve identification of iEEG targets and to guide surgical planning, especially when multiple methods are combined.
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