ReviewFrontiers in neuroscience2020
The Potential of Stereotactic-EEG for Brain-Computer Interfaces: Current Progress and Future Directions.
Review in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain-Computer Interfaces for Children With Complex Communication Needs and Limited Mobility: A Systematic Review.Frontiers in human neuroscience · 2021Pooled it
- Detection of Electrophysiological Activity of Amygdala during Anesthesia Using Stereo-EEG: A Preliminary Research in Anesthetized Epileptic Patients.BioMed research international · 2020Trial
- Increasing EEG electrode density improves decoding of visual categories and source localization: an exploratory ultra-high-density EEG study.Communications engineering · 2026Article
- sEEG-based brain-computer interfacing in a large adult and pediatric cohort.Journal of neural engineering · 2025Article
- Revealing spatiotemporal neural activation patterns in electrocorticography recordings of human speech production by mutual information.Neuroscience informatics · 2025Article
- Directional hand movement can be classified from insular cortex SEEG signals using recurrent neural networks and high-gamma band features.Scientific reports · 2025Article
- VocalMind: A Stereotactic EEG Dataset for Vocalized, Mimed, and Imagined Speech in Tonal Language.Scientific data · 2025Article
- Invasive Brain-Computer Interface for Communication: A Scoping Review.Brain sciences · 2025Review
- Transformer-based neural speech decoding from surface and depth electrode signals.Journal of neural engineering · 2025Article
- Materials and devices for high-density, high-throughput micro-electrocorticography arrays.Fundamental research · 2025Review
- A Comprehensive Survey of Brain-Computer Interface Technology in Health care: Research Perspectives.Journal of medical signals and sensors · 2025Review
- A review of ethical considerations for the medical applications of brain-computer interfaces.Cognitive neurodynamics · 2024Review
- Neural Decoding of Spontaneous Overt and Intended Speech.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Subject-Agnostic Transformer-Based Neural Speech Decoding from Surface and Depth Electrode Signals.bioRxiv : the preprint server for biology · 2024Article
- Representation of internal speech by single neurons in human supramarginal gyrus.Nature human behaviour · 2024Article
- Brain control of bimanual movement enabled by recurrent neural networks.Scientific reports · 2024Article
- Intracranial Neurofeedback Modulating Neural Activity in the Mesial Temporal Lobe During Memory Encoding: A Pilot Study.Applied psychophysiology and biofeedback · 2023Article
- High-resolution neural recordings improve the accuracy of speech decoding.Nature communications · 2023Article
- Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models.Journal of neural engineering · 2023Article
- Paving the Way for Memory Enhancement: Development and Examination of a Neurofeedback System Targeting the Medial Temporal Lobe.Biomedicines · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stereotactic electroencephalogaphy (sEEG) utilizes localized, penetrating depth electrodes to measure electrophysiological brain activity. It is most commonly used in the identification of epileptogenic zones in cases of refractory epilepsy. The implanted electrodes generally provide a sparse sampling of a unique set of brain regions including deeper brain structures such as hippocampus, amygdala and insula that cannot be captured by superficial measurement modalities such as electrocorticography (ECoG). Despite the overlapping clinical application and recent progress in decoding of ECoG for Brain-Computer Interfaces (BCIs), sEEG has thus far received comparatively little attention for BCI decoding. Additionally, the success of the related deep-brain stimulation (DBS) implants bodes well for the potential for chronic sEEG applications. This article provides an overview of sEEG technology, BCI-related research, and prospective future directions of sEEG for long-term BCI applications.
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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.