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  4. Editorial: Brain-computer interfaces in neurological disorders: expanding horizons for diagnosis, treatment, and rehabilitation

Editorial: Brain-computer interfaces in neurological disorders: expanding horizons for diagnosis, treatment, and rehabilitation

Front. Neurosci., 2024 · DOI: 10.3389/fnins.2024.1526723 · Published: November 29, 2024

NeurologyNeurorehabilitation

Simple Explanation

Brain-computer interfaces (BCIs) are a promising medical technology for neurological rehabilitation, facilitating direct communication between the brain and external devices. BCIs are broadening the scope of neurorehabilitation, particularly for conditions like spinal cord injury, stroke, and unilateral spatial neglect. Integrating VR with BCIs can provide cognitive engagement to support attentional recovery, expanding BCI applications beyond motor rehabilitation to include cognitive therapy.

Study Duration
Not specified
Participants
Not specified
Evidence Level
Editorial

Key Findings

  • 1
    Combining epidural electrical stimulation (EES) with near-infrared nerve stimulation (nINS) can enhance motor function specificity in spinal cord injury (SCI) rats by selectively activating target muscles.
  • 2
    Virtual reality (VR)-based rehabilitation enhances functional connectivity within motor-related brain regions in stroke patients, promoting neuroplasticity and facilitating motor recovery.
  • 3
    EEG-based metrics can distinguish different neuropathic symptoms in SCI patients, informing personalized intervention strategies for chronic pain management.

Research Summary

This editorial highlights recent advancements and diverse applications of brain-computer interfaces (BCIs) in managing neurological disorders, aiming to enhance quality of life and functional abilities for those affected. The studies reviewed demonstrate the versatility of BCIs in enhancing motor recovery, managing pain, and supporting cognitive restoration, showcasing their potential as a multidimensional tool. The editorial emphasizes the need for improved user accessibility, device usability, and ethical considerations to translate experimental BCI insights into real-world clinical solutions.

Practical Implications

Improved Motor Function Specificity

Combining EES with nINS offers a more precise neuromodulation approach for SCI rehabilitation, reducing unwanted muscle activation.

Enhanced Neuroplasticity in Stroke Recovery

VR-assisted rehabilitation can be a valuable complement to traditional stroke recovery programs by promoting functional connectivity in motor-related brain regions.

Personalized Pain Management Strategies

EEG-based biomarkers can help distinguish different neuropathic symptoms in SCI patients, enabling personalized interventions for chronic pain.

Study Limitations

  • 1
    Need for improved user accessibility of BCIs.
  • 2
    Need for improved device usability of BCIs.
  • 3
    Ethical considerations surrounding BCI technology.

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