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Can BCIs and neurofeedback be used to improve cognitive function in clinical settings?

Neurofeedback and brain-computer interfaces (BCIs) hold promise for improving cognitive function in clinical settings.

Neurofeedback, as discussed in a study published in "Frontiers in Psychology" in 2020, involves real-time monitoring of brain activity, allowing individuals to learn to self-regulate their brain function. This technique has shown potential in enhancing attention, memory, and overall cognitive performance.

BCIs, on the other hand, provide a direct communication pathway between the brain and external devices, enabling individuals with cognitive impairments to regain some control over their environment. BCIs have been explored as assistive technologies for people with conditions like paralysis, stroke, or neurodegenerative diseases.

While these technologies are promising, their effectiveness in clinical settings varies depending on the specific goals and conditions. More research and tailored interventions are needed to harness the full potential of neurofeedback and BCIs for improving cognitive function in various clinical contexts.


  1. Hengameh Marzbani, et al. (2020). Neurofeedback: A Comprehensive Review on System Design, Methodology and Clinical Applications. Frontiers in Psychology, 11, 613.

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