Evidence map›Paper›PMID 41615639›Full record

ArticleApplied psychophysiology and biofeedback2026

Neuropsychological Rehabilitation in Stroke: EEG Neurofeedback and Brainwave Entrainment-A Pilot Study.

Rajnish Kumar Gupta, Madhavi Bongarala, Girish B Kulkarni, Francisco J Cidral-Filho, Jamuna Rajeswaran

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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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rajnish Kumar Gupta *Department of Psychology, Manipal University Jaipur, Jaipur, India.
Madhavi Bongarala *Department of Clinical Psychology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India.
Girish B KulkarniDepartment of Neurology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India.
Francisco J Cidral-FilhoIntegrative Wellbeing Institute, Florida, USA.
Jamuna RajeswaranDepartment of Clinical Psychology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India. drjamunarajan@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this pilot study, we explored the effects of two adjunctive neurorehabilitation methods: EEG neurofeedback training (EEG-NFT) and Brainwave Entrainment (BWE) on cognitive outcomes, mood, and quality of life (QoL) in post-stroke survivors, relative to standard Treatment-as-Usual (TAU). Fifteen subacute stroke patients (aged 30–55 years) were randomly assigned to one of three groups: EEG-NFT, BWE, or TAU. In addition to routine treatment, both intervention groups received twenty sessions of their respective interventions over three weeks. Pre- and post-intervention evaluations employed the NIMHANS Neuropsychological Battery to assess cognitive domains, the WHOQOL-BREF for QoL, and the Hospital Anxiety and Depression Scale (HADS) for mood symptoms. Both intervention groups demonstrated significant improvements in processing speed and memory consolidation, evidenced by enhanced digit symbol substitution and complex figure-delayed recall scores relative to TAU. Moreover, the BWE group exhibited additional benefits in verbal working memory and mood regulation, leading to more pronounced improvements in overall QoL. The mechanistic insights propose that modulation of occipital alpha and theta activity in EEG-NFT and rhythmic sensory stimulation in BWE underlie these cognitive and emotional gains. Given the small sample size, this study is best viewed as an initial feasibility trial that provides preliminary evidence and effect size estimates to inform larger randomized controlled trials. Despite limited statistical power, the robust effect sizes observed offer encouraging directions for future research in neurofeedback and brainwave entrainment post-stroke.

Indexed as

Brainwave entrainmentEEG-NFTNeurofeedbackQuality of lifeSDG 3: good health and well-beingStroke rehabilitation

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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.