ArticleScientific data2020
Simultaneous human intracerebral stimulation and HD-EEG, ground-truth for source localization methods.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Assessing Strengths and Limitations of Magnetoencephalography Source Imaging With Intracerebral EEG.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A geometry aware framework enhances noninvasive mapping of whole human brain dynamics.Nature biomedical engineering · 2026Article
- Inferring neural sources from electroencephalography: foundations and frontiers.Journal of neural engineering · 2026Review
- Locating the epileptogenic zone for drug-resistant epilepsy through neuroelectrophysiological brain network topology.Frontiers in neuroscience · 2026Article
- Functional connectivity study on visually evoked auditory response based on high-density electroencephalography.Frontiers in neuroscience · 2026Article
- The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Scalp EEG predicts intracranial brain activity in humans.bioRxiv : the preprint server for biology · 2025Article
- Stimulation mapping and whole-brain modeling reveal gradients of excitability and recurrence in cortical networks.Nature communications · 2025Article
- Evaluation of EEG pre-processing and source localization in ecological research.Frontiers in neuroimaging · 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
- Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke.Medical review (2021) · 2024Review
- Simultaneous invasive and non-invasive recordings in humans: A novel Rosetta stone for deciphering brain activity.Journal of neuroscience methods · 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
- Connectome spectrum electromagnetic tomography: A method to reconstruct electrical brain source networks at high-spatial resolution.Human brain mapping · 2024Article
- The Neurostimulationist will see you now: prescribing direct electrical stimulation therapies for the human brain in epilepsy and beyond.Frontiers in human neuroscience · 2024Review
- Article
- How to assess the accuracy of volume conduction models? A validation study with stereotactic EEG data.Frontiers in human neuroscience · 2024Article
- Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing.PeerJ. Computer science · 2024Article
- Aberrant brain dynamics and spectral power in children with ADHD and its subtypes.European child & adolescent psychiatry · 2023Article
- Deep learning based source imaging provides strong sublobar localization of epileptogenic zone from MEG interictal spikes.NeuroImage · 2023Article
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precisely localizing the sources of brain activity as recorded by EEG is a fundamental procedure and a major challenge for both research and clinical practice. Even though many methods and algorithms have been proposed, their relative advantages and limitations are still not well established. Moreover, these methods involve tuning multiple parameters, for which no principled way of selection exists yet. These uncertainties are emphasized due to the lack of ground-truth for their validation and testing. Here we present the Localize-MI dataset, which constitutes the first open dataset that comprises EEG recorded electrical activity originating from precisely known locations inside the brain of living humans. High-density EEG was recorded as single-pulse biphasic currents were delivered at intensities ranging from 0.1 to 5 mA through stereotactically implanted electrodes in diverse brain regions during pre-surgical evaluation of patients with drug-resistant epilepsy. The uses of this dataset range from the estimation of in vivo tissue conductivity to the development, validation and testing of forward and inverse solution methods.
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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.