ArticleJournal of neural engineering2018
Real-time detection and discrimination of visual perception using electrocorticographic signals.
Article in Journal of neural engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Neuromodulation by electrical stimulation timing during picture naming task based on high gamma dynamics.Epilepsy & behavior reports · 2026Article
- Increasing EEG electrode density improves decoding of visual categories and source localization: an exploratory ultra-high-density EEG study.Communications engineering · 2026Article
- A Feature Extraction and Selection Framework for Electrocorticography-Based Neural Activity Classification.Journal of medical systems · 2025Article
- Evaluation of higher cognitive functions following posterior quadrant disconnection in the non-dominant hemisphere: a Case Report.Frontiers in human neuroscience · 2025Article
- Characterization of High-Gamma Activity in Electrocorticographic Signals.Frontiers in neuroscience · 2023Article
- Individual finger movement decoding using a novel ultra-high-density electroencephalography-based brain-computer interface system.Frontiers in neuroscience · 2022Article
- Workshops of the Eighth International Brain-Computer Interface Meeting: BCIs: The Next Frontier.Brain computer interfaces (Abingdon, England) · 2022Article
- Classification of brain electrophysiological changes in response to colour stimuli.Physical and engineering sciences in medicine · 2021Article
- Post-training Load-Related Changes of Auditory Working Memory - An EEG Study.Frontiers in human neuroscience · 2020Article
- Tailor-Made Surgery Based on Functional Networks for Intractable Epilepsy.Frontiers in neurology · 2020Article
- Time-Variant Linear Discriminant Analysis Improves Hand Gesture and Finger Movement Decoding for Invasive Brain-Computer Interfaces.Frontiers in neuroscience · 2019Article
- Brain Machine Interfaces for Vision Restoration: The Current State of Cortical Visual Prosthetics.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2019Review
- Review of brain-computer interface technology in ophthalmology: Current status, challenges and future directions.Advances in ophthalmology practice and researchReview
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectiveSeveral neuroimaging studies have demonstrated that the ventral temporal cortex contains specialized regions that process visual stimuli. This study investigated the spatial and temporal dynamics of electrocorticographic (ECoG) responses to different types and colors of visual stimulation that were presented to four human participants, and demonstrated a real-time decoder that detects and discriminates responses to untrained natural images. APPROACH: ECoG signals from the participants were recorded while they were shown colored and greyscale versions of seven types of visual stimuli (images of faces, objects, bodies, line drawings, digits, and kanji and hiragana characters), resulting in 14 classes for discrimination (experiment I). Additionally, a real-time system asynchronously classified ECoG responses to faces, kanji and black screens presented via a monitor (experiment II), or to natural scenes (i.e. the face of an experimenter, natural images of faces and kanji, and a mirror) (experiment III). Outcome measures in all experiments included the discrimination performance across types based on broadband γ activity. MAIN
resultsExperiment I demonstrated an offline classification accuracy of 72.9% when discriminating among the seven types (without color separation). Further discrimination of grey versus colored images reached an accuracy of 67.1%. Discriminating all colors and types (14 classes) yielded an accuracy of 52.1%. In experiment II and III, the real-time decoder correctly detected 73.7% responses to face, kanji and black computer stimuli and 74.8% responses to presented natural scenes. SIGNIFICANCE: Seven different types and their color information (either grey or color) could be detected and discriminated using broadband γ activity. Discrimination performance maximized for combined spatial-temporal information. The discrimination of stimulus color information provided the first ECoG-based evidence for color-related population-level cortical broadband γ responses in humans. Stimulus categories can be detected by their ECoG responses in real time within 500 ms with respect to stimulus onset.
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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.