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Frontiers in Neuroscience

4 entries
August 2026

Review Maps How Closed-Loop BCIs May Support Post-Stroke Recovery

A review in *Frontiers in Neuroscience* describes closed-loop BCIs as systems that detect motor imagery, motor attempts or sensorimotor rhythms and trigger contingent electrical stimulation, robotic assistance, virtual reality, multisensory feedback or neuromodulation. The authors argue that restoring the timing between intent, assisted movement and sensory feedback may promote activity-dependent plasticity, while stressing that outcomes vary with patient selection, signal quality, dose, feedback modality and trial design.

Review Identifies Three Shared Bottlenecks Across DBS and BCIs

A mini-review places deep-brain stimulation, brain-computer interfaces and speech neuroprostheses within a shared closed-loop architecture of sensing, decoding, stimulation or output, power, telemetry and chronic validation. It identifies long-term stability, neural coding and equitable access as recurring constraints across all three fields and argues that governance must advance alongside engineering.
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