ArticleComputational intelligence and neuroscience2017
Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces.
Article in Computational intelligence and neuroscience, 2017. 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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13 citing papers in PubMed.
- Dual imagery tasks for EEG-based brain-computer interfaces: a feasibility study of combinatorial mental state classification.Frontiers in human neuroscience · 2026Article
- Investigating singing imagery as an additional or alternative control task for EEG-based Brain-Computer Interfaces.Frontiers in human neuroscience · 2025Article
- Multimodal fNIRS-EEG sensor fusion: Review of data-driven methods and perspective for naturalistic brain imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks.Frontiers in neuroergonomics · 2024Article
- EEG Amplitude Modulation Analysis across Mental Tasks: Towards Improved Active BCIs.Sensors (Basel, Switzerland) · 2023Article
- Multi-Modal Integration of EEG-fNIRS for Characterization of Brain Activity Evoked by Preferred Music.Frontiers in neurorobotics · 2022Article
- Real-Time Algorithm for Detrended Cross-Correlation Analysis of Long-Range Coupled Processes.Frontiers in physiology · 2022Article
- Multimodal resting-state connectivity predicts affective neurofeedback performance.Frontiers in human neuroscience · 2022Article
- Data Processing in Functional Near-Infrared Spectroscopy (fNIRS) Motor Control Research.Brain sciences · 2021Review
- Resting-State NIRS-EEG in Unresponsive Patients with Acute Brain Injury: A Proof-of-Concept Study.Neurocritical care · 2021Article
- Elevation of intracranial pressure affects the relationship between hemoglobin concentration and neuronal activation in human somatosensory cortex.Human brain mapping · 2020Article
- Functional Near-Infrared Spectroscopy Indicates That Asymmetric Right Hemispheric Activation in Mental Rotation of a Jigsaw Puzzle Decreases With Task Difficulty.Frontiers in human neuroscience · 2020Article
- A Ternary Hybrid EEG-NIRS Brain-Computer Interface for the Classification of Brain Activation Patterns during Mental Arithmetic, Motor Imagery, and Idle State.Frontiers in neuroinformatics · 2018Article
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3 authors.
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Abstract
Based on recent electroencephalography (EEG) and near-infrared spectroscopy (NIRS) studies that showed that tasks such as motor imagery and mental arithmetic induce specific neural response patterns, we propose a hybrid brain-computer interface (hBCI) paradigm in which EEG and NIRS data are fused to improve binary classification performance. We recorded simultaneous NIRS-EEG data from nine participants performing seven mental tasks (word generation, mental rotation, subtraction, singing and navigation, and motor and face imagery). Classifiers were trained for each possible pair of tasks using (1) EEG features alone, (2) NIRS features alone, and (3) EEG and NIRS features combined, to identify the best task pairs and assess the usefulness of a multimodal approach. The NIRS-EEG approach led to an average increase in peak kappa of 0.03 when using features extracted from one-second windows (equivalent to an increase of 1.5% in classification accuracy for balanced classes). The increase was much stronger (0.20, corresponding to an 10% accuracy increase) when focusing on time windows of high NIRS performance. The EEG and NIRS analyses further unveiled relevant brain regions and important feature types. This work provides a basis for future NIRS-EEG hBCI studies aiming to improve classification performance toward more efficient and flexible BCIs.
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