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17 March 2026 : Review article  

Application and Research Progress of BCI in Post-Stroke Psychiatric Disorders: A Narrative Review

Zekai Hu ORCID logo ABCDEF 1,2, Jinyan Wang ABCDEF 1, Kun Zhou ORCID logo BCDF 3, Sicong Ma BCDF 1, Jun Hu AG 1*

DOI: 10.12659/MSM.951399

Med Sci Monit 2026; 32:e951399

Table 2 Summary of representative BCI studies on post-stroke psychiatric and cognitive applications.

Target disorderBCI modality & paradigmTechnical featuresKey findingsStudy
Mental stress/anxietyEEG (passive monitoring)Deep learning (LSTM-RNN) for state classificationAchieved high accuracy in detecting stress states; demonstrated potential for breathing entrainment interventionsSundaresan et al []58
Depression & anxietyEEG-based neurofeedbackAudio-visual entrainmentSignificant reduction in depression (HAM-D) and anxiety scores in RCT; modulation of beta/theta rhythmsPino []61
Cognitive impairmentP300-BCI (cognitive training)Event-Related Potential (ERP) based trainingRCT showed significant improvements in MoCA scores (attention, naming) compared to control groupFateeva et al []64
Attention deficitsBCI + fMRI (multimodal)Resting-state functional connectivity analysisBCI attention training induced rapid strengthening of functional connectivity in attention networksMayorova et al []65
Anxiety statesEEG (closed-loop)Affective BCI with real-time feedbackSuccessfully classified anxious states and provided objective feedback for self-regulationChen et al []71
BCI – brain computer interface; EEG – electroencephalography; LSTM – long short-term memory; RNN – recurrent neural networks; HAM-D – Hamilton Rating Scale for Depression; RCT – randomized clinical trials; MoCA – Montreal cognitive assessment test; fMRI – functional magnetic resonance imaging.

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750