Evidence map›Paper›PMID 42763839›Full record

ArticleApplied psychophysiology and biofeedback2026

Neurofeedback-Guided Motor Imagery in Chronic Stroke: A Case Series on Upper-Limb Recovery, Cortical Activation, and Brain Symmetry.

Raquel Carvalho, Elsa Azevedo, Paulo Marques, Nuno Dias, João José Cerqueira

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Article in Applied psychophysiology and biofeedback, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Raquel CarvalhoRise-Health -Escola Superior de Tecnologias da Saúde de Tâmega E Sousa, Paredes, Portugal. raquel.carvalho@ipsn.cespu.pt.ORCID http://orcid.org/0000-0002-7946-7708
Elsa AzevedoRise-Health, Department of Clinical Neurosciences and Mental Health, Faculty of Medicine of University of Porto, Alameda Professor Hernâni Monteiro, 4200-319, Porto, Portugal.ORCID http://orcid.org/0000-0003-3731-4508
Paulo MarquesLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.ORCID http://orcid.org/0000-0002-6304-4989
Nuno DiasLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.ORCID http://orcid.org/0000-0002-0498-4612
João José CerqueiraLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.ORCID http://orcid.org/0000-0003-3155-2775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain-computer interface (BCI) systems combined with motor imagery (MI) have emerged as promising tools in neurorehabilitation. Real-time neurofeedback may further enhance motor recovery by promoting use-dependent neuroplasticity; however, evidence in chronic stroke remains limited, particularly from controlled pilot studies.

objectiveThis case series explored the feasibility and preliminary effects of EEG-based BCI neurofeedback combined with MI and physiotherapy on upper-limb motor function and brain activation patterns in individuals with chronic stroke.

methodsIn a double-blind, controlled protocol, seven individuals with chronic stroke were allocated to either an experimental group receiving MI with real-time EEG-based BCI neurofeedback or a control group receiving MI with sham feedback. All participants completed a standardized four-week physiotherapy program. Motor outcomes were assessed with the Action Research Arm Test, Fugl-Meyer Assessment, Motor Assessment Scale, and grip strength, with functional changes interpreted against minimal clinically important difference (MCID) thresholds. Neuroplastic changes were explored using EEG-derived symmetry measures and task-related functional MRI.

resultsParticipants receiving real neurofeedback exhibited consistent improvements exceeding MCID thresholds in at least one functional outcome, most notably grip strength. This group also demonstrated more symmetrical EEG activity and more consistent sensorimotor and cerebellar activation patterns on fMRI. In contrast, responses in the sham group were more variable and appeared influenced by a single high responder.

conclusionsThese findings support the feasibility of integrating EEG-based BCI neurofeedback with MI and physiotherapy in chronic stroke rehabilitation. The observed functional gains and associated neurophysiological changes suggest a preliminary, exploratory role for this intervention in promoting upper-limb recovery in this small sample.

Indexed as

Brain-machine interfaceNeuroplasticityPhysical therapyStroke rehabilitationUpper-limb recovery

Identifiers

PMID42763839

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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.