ArticleScientific reports2016
Near-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface.Sensors (Basel, Switzerland) · 2018Trial
- Advances in fully integrated wearable near-infrared spectroscopy: hardware innovations and biomedical applications.JPhys photonics · 2026Review
- Cortical Representation of Auditory Selective Attention in a Dichotic Listening Task: A Functional Near-Infrared Spectroscopy Study.Brain topography · 2025Article
- ATLAS: a large array, on-chip compute SPAD camera for multispeckle diffuse correlation spectroscopy.Biomedical optics express · 2024Article
- EEG Dataset for the Recognition of Different Emotions Induced in Voice-User Interaction.Scientific data · 2024Article
- A Within-Subject Multimodal NIRS-EEG Classifier for Infant Data.Sensors (Basel, Switzerland) · 2024Article
- Benchmarking framework for machine learning classification from fNIRS data.Frontiers in neuroergonomics · 2023Article
- Evaluation of Real-Time Endogenous Brain-Computer Interface Developed Using Ear-Electroencephalography.Frontiers in neuroscience · 2022Article
- Classification of Prefrontal Cortex Activity Based on Functional Near-Infrared Spectroscopy Data upon Olfactory Stimulation.Brain sciences · 2021Article
- Guiding functional near-infrared spectroscopy optode-layout design using individual (f)MRI data: effects on signal strength.Neurophotonics · 2021Article
- Anger Experience and Anger Expression Through Drawing in Schizophrenia: An fNIRS Study.Frontiers in psychology · 2021Article
- Motor Training Using Mental Workload (MWL) With an Assistive Soft Exoskeleton System: A Functional Near-Infrared Spectroscopy (fNIRS) Study for Brain-Machine Interface (BMI).Frontiers in neurorobotics · 2021Article
- Functional near-infrared spectroscopy in toddlers: Neural differentiation of communicative cues and relation to future language abilities.Developmental science · 2020Article
- High-sensitivity multispeckle diffuse correlation spectroscopy.Neurophotonics · 2020Article
- Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interface Using Regularized Linear Discriminant Analysis Ensemble Classifier Based on Bootstrap Aggregating.Frontiers in neuroscience · 2020Article
- Random Subspace Ensemble Learning for Functional Near-Infrared Spectroscopy Brain-Computer Interfaces.Frontiers in human neuroscience · 2020Article
- Multimodal exploration of non-motor neural functions in ALS patients using simultaneous EEG-fNIRS recording.Journal of neural engineering · 2019Article
- Effects of Different Re-referencing Methods on Spontaneously Generated Ear-EEG.Frontiers in neuroscience · 2019Article
- [Research progress about brain-computer interface technology based on cognitive brain areas and its applications in rehabilitation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2018Review
- Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses.Sensors (Basel, Switzerland) · 2018Article
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Abstract
We propose a near-infrared spectroscopy (NIRS)-based brain-computer interface (BCI) that can be operated in eyes-closed (EC) state. To evaluate the feasibility of NIRS-based EC BCIs, we compared the performance of an eye-open (EO) BCI paradigm and an EC BCI paradigm with respect to hemodynamic response and classification accuracy. To this end, subjects performed either mental arithmetic or imagined vocalization of the English alphabet as a baseline task with very low cognitive loading. The performances of two linear classifiers were compared; resulting in an advantage of shrinkage linear discriminant analysis (LDA). The classification accuracy of EC paradigm (75.6 ± 7.3%) was observed to be lower than that of EO paradigm (77.0 ± 9.2%), which was statistically insignificant (p = 0.5698). Subjects reported they felt it more comfortable (p = 0.057) and easier (p < 0.05) to perform the EC BCI tasks. The different task difficulty may become a cause of the slightly lower classification accuracy of EC data. From the analysis results, we could confirm the feasibility of NIRS-based EC BCIs, which can be a BCI option that may ultimately be of use for patients who cannot keep their eyes open consistently.
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