ArticleComputational intelligence and neuroscience2017
Comparison of Brain Activation during Motor Imagery and Motor Movement Using fNIRS.
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 50 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
50 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of functional near-infrared spectroscopy-based task paradigms in stroke rehabilitation.Frontiers in human neuroscience · 2025Pooled it
- A systematic review: enhancing stroke recovery through complementary interventions-Clinical outcomes and neural activity insights.Frontiers in neuroscience · 2024Pooled it
- Beneficial effects of imagination of successful action after an actual error on baseline performances in non-expert young tennis players.Psychological research · 2024Trial
- Target-oriented motor imagery for grasping action: different characteristics of brain activation between kinesthetic and visual imagery.Scientific reports · 2019Trial
- Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface.BioMed research international · 2017Trial
- Cortical activation, gait performance, and muscle activation during dual-task walking in older adults with mild cognitive impairment.BMC geriatrics · 2026Article
- Recruitment patterns of hothubs and dark functional networks correlating activity and connectivity with magnetoencephalography.Scientific reports · 2026Article
- Motor imagery as a cognitive mechanism in interventions for children with developmental coordination disorder: a narrative review.Frontiers in pediatrics · 2026Review
- Sensorimotor event-related desynchronization and hemodynamic responses during motor and tactile imagery.Brain structure & function · 2025Article
- Hemodynamic Response Asymmetry During Motor Imagery in Stroke Patients: A Novel NIRS-BCI Assessment Approach.Sensors (Basel, Switzerland) · 2025Article
- Effect of EEG Electrode Numbers on Source Estimation in Motor Imagery.Brain sciences · 2025Article
- Comparison of Brain Activation Between Different Modes of Motor Acquisition: A Functional Near-Infrared Study.Brain and behavior · 2025Article
- A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Evaluating the effects of multimodal EEG-fNIRS neurofeedback for motor imagery: An experimental platform and study protocol.PloS one · 2025Article
- Hybrid Functional Near-Infrared Spectroscopy System and Electromyography for Prosthetic Knee Control.Biosensors · 2024Article
- Article
- Functional near-infrared spectroscopy: A novel tool for detecting consciousness after acute severe brain injury.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Brain mechanisms discriminating enactive mental simulations of running and plogging.Human brain mapping · 2024Article
- MOVING: A Multi-Modal Dataset of EEG Signals and Virtual Glove Hand Tracking.Sensors (Basel, Switzerland) · 2024Article
- Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging During Rehabilitation Following Stroke: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motor-activity-related mental tasks are widely adopted for brain-computer interfaces (BCIs) as they are a natural extension of movement intention, requiring no training to evoke brain activity. The ideal BCI aims to eliminate neuromuscular movement, making motor imagery tasks, or imagined actions with no muscle movement, good candidates. This study explores cortical activation differences between motor imagery and motor execution for both upper and lower limbs using functional near-infrared spectroscopy (fNIRS). Four simple finger- or toe-tapping tasks (left hand, right hand, left foot, and right foot) were performed with both motor imagery and motor execution and compared to resting state. Significant activation was found during all four motor imagery tasks, indicating that they can be detected via fNIRS. Motor execution produced higher activation levels, a faster response, and a different spatial distribution compared to motor imagery, which should be taken into account when designing an imagery-based BCI. When comparing left versus right, upper limb tasks are the most clearly distinguishable, particularly during motor execution. Left and right lower limb activation patterns were found to be highly similar during both imagery and execution, indicating that higher resolution imaging, advanced signal processing, or improved subject training may be required to reliably distinguish them.
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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.