ArticleJournal of computational neuroscience2019
Motor imagery and mental fatigue: inter-relationship and EEG based estimation.
Article in Journal of computational neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.
- Dataset Fragmentation, Cognitive Variability, and Reproducibility Challenges in EEG-Based Brain-Computer Interfaces: A PRISMA-Based Systematic Review.Sensors (Basel, Switzerland) · 2026Pooled it
- iTBS on RDLPFC improves performance of motor imagery: a brain-computer interface study combining EEG and fNIRS.Journal of neuroengineering and rehabilitation · 2025Trial
- Spatial constraints and cognitive fatigue affect motor imagery of walking in people with multiple sclerosis.Scientific reports · 2020Trial
- Exploration-based feedback for BCI training: a case study with an adolescent with paraplegia.Journal of neuroengineering and rehabilitation · 2026Article
- Strategy and Motivation, Rather Than Fatigue, Drive Age-Related Differences in Sustained Attention Performance: Evidence for Decoupled Beta-Band Oscillations.The European journal of neuroscience · 2026Article
- EEG-based monitoring of mental fatigue during virtual-reality motor imagery tasks.Frontiers in behavioral neuroscience · 2026Article
- Wearable technologies for assisted mobility in the real world.Nature communications · 2025Review
- Leveraging meaning-induced neural dynamics to detect covert cognition via EEG during natural language listening-a case series.Frontiers in psychology · 2025Article
- The impact of thermal and auditory unpleasant stimulus on explicit motor imagery in healthy individuals: An experimental study.PloS one · 2025Article
- Impact of mental fatigue on tennis players' attention and groundstroke performance.Frontiers in psychology · 2025Article
- Chrono-EEG dynamics influencing hand gesture decoding: a 10-hour study.Scientific reports · 2024Article
- User Evaluation of a Shared Robot Control System Combining BCI and Eye Tracking in a Portable Augmented Reality User Interface.Sensors (Basel, Switzerland) · 2024Article
- Research on mental fatigue during long-term motor imagery: a pilot study.Scientific reports · 2024Article
- Fatigue in children using motor imagery and P300 brain-computer interfaces.Journal of neuroengineering and rehabilitation · 2024Article
- Intermittent hypoxia training effectively protects against cognitive decline caused by acute hypoxia exposure.Pflugers Archiv : European journal of physiology · 2024Article
- Differences in Motor Imagery Ability between People with Parkinson's Disease and Healthy Controls, and Its Relationship with Functionality, Independence and Quality of Life.Healthcare (Basel, Switzerland) · 2023Article
- A Quantitative Investigation of Mental Fatigue Elicited during Motor Imagery Practice: Selective Effects on Maximal Force Performance and Imagery Ability.Brain sciences · 2023Article
- Source-Based EEG Neurofeedback for Sustained Motor Imagery of a Single Leg.Sensors (Basel, Switzerland) · 2023Article
- Enhancing motor imagery detection efficacy using multisensory virtual reality priming.Frontiers in neuroergonomics · 2023Article
- BCI-activated electrical stimulation in children with perinatal stroke and hemiparesis: A pilot study.Frontiers in human neuroscience · 2023Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Even though it has long been felt that psychological state influences the performance of brain-computer interfaces (BCI), formal analysis to support this hypothesis has been scant. This study investigates the inter-relationship between motor imagery (MI) and mental fatigue using EEG: a. whether prolonged sequences of MI produce mental fatigue and b. whether mental fatigue affects MI EEG class separability. Eleven participants participated in the MI experiment, 5 of which quit in the middle because of experiencing high fatigue. The growth of fatigue was monitored using the Kernel Partial Least Square (KPLS) algorithm on the remaining 6 participants which shows that MI induces substantial mental fatigue. Statistical analysis of the effect of fatigue on motor imagery performance shows that high fatigue level significantly decreases MI EEG separability. Collectively, these results portray an MI-fatigue inter-connection, emphasizing the necessity of developing adaptive MI BCI by tracking mental fatigue.
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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.