ArticleFrontiers in neuroscience2020
Assessing Time-Resolved fNIRS for Brain-Computer Interface Applications of Mental Communication.
Article 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 27 papers.
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Who cites it
27 citing papers in PubMed.
- Motor Intention Quantization for Patients With Disorders of Consciousness by Multimodal BCI Combining Electroencephalography and Functional Near-Infrared Spectroscopy.CNS neuroscience & therapeutics · 2025Article
- Sensitive and specific fNIRS-based approach for awareness detection in disorders of consciousness: proof of principle in healthy adults.Neurophotonics · 2025Article
- Multisensory naturalistic decoding with high-density diffuse optical tomography.Neurophotonics · 2025Article
- Signal acquisition of brain-computer interfaces: A medical-engineering crossover perspective review.Fundamental research · 2025Review
- Comparing structure-function relationships in brain networks using EEG and fNIRS.Scientific reports · 2024Article
- Assessing changes in regional cerebral hemodynamics in adults with a high-density full-head coverage time-resolved near-infrared spectroscopy device.Journal of biomedical optics · 2024Article
- Assessing the consistency and sensitivity of the neural correlates of narrative stimuli using functional near-infrared spectroscopy.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Subject-specific information enhances spatial accuracy of high-density diffuse optical tomography.Frontiers in neuroergonomics · 2024Article
- Characterization of cerebral macro- and microvascular hemodynamics during transient hypotension.Journal of applied physiology (Bethesda, Md. : 1985) · 2023Article
- Inconsistency between the Circulatory and the Brain Criteria of Death in the Uniform Determination of Death Act.The Journal of medicine and philosophy · 2023Article
- Prognosis of consciousness disorders in the intensive care unit.Presse medicale (Paris, France : 1983) · 2023Review
- Evaluation of residual cognition in patients with disorders of consciousness based on functional near-infrared spectroscopy.Neurophotonics · 2023Article
- Fast estimation of adult cerebral blood content and oxygenation with hyperspectral time-resolved near-infrared spectroscopy.Frontiers in neuroscience · 2023Article
- Lock-in functional near-infrared spectroscopy for measurement of the haemodynamic brain response.Biomedical optics express · 2022Article
- LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI.Sensors (Basel, Switzerland) · 2022Article
- Brain death debates: from bioethics to philosophy of science.F1000Research · 2022Article
- Decoding visual information from high-density diffuse optical tomography neuroimaging data.NeuroImage · 2021Article
- Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study.Frontiers in neurology · 2021Article
- The Potential Role of fNIRS in Evaluating Levels of Consciousness.Frontiers in human neuroscience · 2021Article
- See, Hear, or Feel - to Speak: A Versatile Multiple-Choice Functional Near-Infrared Spectroscopy-Brain-Computer Interface Feasible With Visual, Auditory, or Tactile Instructions.Frontiers in human neuroscience · 2021Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-computer interfaces (BCIs) are becoming increasingly popular as a tool to improve the quality of life of patients with disabilities. Recently, time-resolved functional near-infrared spectroscopy (TR-fNIRS) based BCIs are gaining traction because of their enhanced depth sensitivity leading to lower signal contamination from the extracerebral layers. This study presents the first account of TR-fNIRS based BCI for "mental communication" on healthy participants. Twenty-one (21) participants were recruited and were repeatedly asked a series of questions where they were instructed to imagine playing tennis for "yes" and to stay relaxed for "no." The change in the mean time-of-flight of photons was used to calculate the change in concentrations of oxy- and deoxyhemoglobin since it provides a good compromise between depth sensitivity and signal-to-noise ratio. Features were extracted from the average oxyhemoglobin signals to classify them as "yes" or "no" responses. Linear-discriminant analysis (LDA) and support vector machine (SVM) classifiers were used to classify the responses using the leave-one-out cross-validation method. The overall accuracies achieved for all participants were 75% and 76%, using LDA and SVM, respectively. The results also reveal that there is no significant difference in accuracy between questions. In addition, physiological parameters [heart rate (HR) and mean arterial pressure (MAP)] were recorded on seven of the 21 participants during motor imagery (MI) and rest to investigate changes in these parameters between conditions. No significant difference in these parameters was found between conditions. These findings suggest that TR-fNIRS could be suitable as a BCI for patients with brain injuries.
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