Attention-Adaptive BCI-AOT System Enhances Motor Recovery and Neural Engagement After Stroke.

Area of Science:

• Neuroscience
• Rehabilitation Medicine
• Biomedical Engineering

Background:

• Stroke commonly causes long-term motor deficits, impacting quality of life.
• Action Observation Therapy (AOT) aids motor recovery via the mirror neuron system (MNS), but passive delivery and lack of attention tracking limit neuroplasticity.
• Existing AOT methods require enhancement for greater efficacy in stroke rehabilitation.

Purpose of the Study:

• To develop and evaluate a closed-loop Brain-Computer Interface-integrated AOT (BCI-AOT) system.
• To investigate the impact of real-time attention monitoring on motor recovery and neuroplasticity following stroke.
• To compare the efficacy of BCI-AOT with conventional AOT in individuals with hemiplegic stroke.

Main Methods:

• A within-subject crossover study involving 22 individuals with hemiplegic stroke.
• Participants completed both BCI-AOT and conventional AOT conditions, with therapy dynamically controlled by Steady-State Visual Evoked Potential (SSVEP)-based attention monitoring in the BCI-AOT condition.
• Behavioral (Box and Block Test, Action Research Arm Test) and physiological (MEP, EEG) measures were assessed pre- and post-intervention.

Main Results:

• Significant Condition × Day interactions revealed greater functional gains (BBT, ARAT) over time with BCI-AOT.
• Both conditions increased corticospinal excitability, but BCI-AOT uniquely modulated mu and theta EEG rhythms.
• Participants reported higher motivation and attention levels with BCI-AOT compared to conventional AOT.

Conclusions:

• BCI-AOT demonstrates superior neuroplasticity induction and user engagement compared to standard AOT for stroke recovery.
• The closed-loop, attention-adaptive system shows feasibility and clinical potential for neurorehabilitation.
• This approach offers a promising avenue for optimizing motor function recovery after stroke.