ArticleFrontiers in neurology2019
Neurofeedback Training for Cognitive and Motor Function Rehabilitation in Chronic Stroke: Two Case Reports.
Article in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04290988 (Circuitry Assessment and Reinforcement Training Effects on Recovery), which is not on this map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Circuitry Assessment and Reinforcement Training Effects on Recovery (CARTER)
Who cites it
8 citing papers in PubMed, 28 citations in OpenAlex.
- Task-Dependent Performance of Wearable Multimodal Biofeedback in Physical Rehabilitation: A Longitudinal Post-Stroke Case Study.Healthcare (Basel, Switzerland) · 2026Article
- Application of Brain-Computer Interface Technology in Vascular Cognitive Impairment: A Systematic Review.Brain sciences · 2026Review
- Neuropsychological Rehabilitation in Stroke: EEG Neurofeedback and Brainwave Entrainment-A Pilot Study.Applied psychophysiology and biofeedback · 2026Article
- Brain-computer interface training for multimodal functional recovery in patients with brain injury: a case series.Quantitative imaging in medicine and surgery · 2025Article
- Go/No-Go Ratios Modulate Inhibition-Related Brain Activity: An Event-Related Potential Study.Brain sciences · 2024Article
- Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review.Sensors (Basel, Switzerland) · 2022Article
- Poststroke motor, cognitive and speech rehabilitation with brain-computer interface: a perspective review.Stroke and vascular neurology · 2022Review
- Toward an Adapted Neurofeedback for Post-stroke Motor Rehabilitation: State of the Art and Perspectives.Frontiers in human neuroscience · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stroke is a debilitating neurological condition which usually results in the abnormal electrical brain activity and the impairment of sensation, motor, or cognition functions. In this context, neurofeedback training, i.e., a non-invasive and relatively low cost technique that contributes to neuroplasticity and behavioral performance, might be promising for stroke rehabilitation. We intended to explore neurofeedback training on a 63-year-old male patient and a 77-year-old female patient with chronic stroke. Both of them had suffered from an ischemic stroke for rather long period (more than 3 years) and could not gain further improvement by traditional therapy. The neurofeedback training was designed to enhance alpha activity by 15 sessions distributed over 2 months, for the purpose of overall cognitive improvement and hopefully also motor function improvement for the female patient. We found that the two patients showed alpha enhancement during NFT compared to eyes open baseline within most sessions. Furthermore, both patients reduced their anxiety and depression level. The male patient showed an evolution in speech pattern in terms of naming, sentences completion and verbal fluency, while the female patient improved functionality of the march. These results suggested that alpha neurofeedback training could provide a spectrum of improvements, providing new hope for chronic stroke patients who could not gain further improvements through traditional therapies.
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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.