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Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system
Frederik Lampert1, Matthew R Baker1, Michael A Jensen1,2
1Department of Neurosurgery, Mayo Clinic, Rochester, MN, United States of America.
Advancements in adaptive neuromodulation and brain-computer interfaces require careful consideration of safety, efficacy, and ethics. Expert consensus highlights five key domains for therapeutic device development, emphasizing translational research and patient-centric approaches.
Area of Science:
- Neurotechnology
- Biomedical Engineering
- Neuroscience
Background:
- Adaptive neuromodulation and brain-computer interfaces (BCIs) are rapidly advancing from prototypes to clinical use.
- Increased public and scientific attention necessitates rigorous evaluation of safety, efficacy, and ethical considerations.
- Expert discussions identified critical domains for therapeutic neurotechnology development.
Purpose of the Study:
- To synthesize expert insights into five key domains for developing therapeutic neuromodulation and BCI devices.
- To emphasize the importance of translational research platforms for iterative testing and validation.
- To address the multifaceted challenges including technological design, clinical needs, neural mechanisms, and ethical responsibilities.
Main Methods:
- Synthesis of expert discussions and insights.
- Analysis of the current landscape of neuromodulation devices and translational platforms.
- Examination of clinical needs, neural mechanisms, technology design, and ethical concerns.
Main Results:
- Identification of five essential domains for therapeutic device development: landscape analysis, clinical need, neural mechanisms, technology design, and ethics.
- Emphasis on translational research platforms balancing flexibility, safety, and clinical benefit.
- Exploration of requirements for interoperability, modularity, wireless communication, regulatory processes, funding, and ethical obligations.
Conclusions:
- Therapeutic neurotechnology development requires a holistic approach integrating scientific, engineering, and clinical perspectives.
- Translational platforms are crucial for rapid, iterative testing while prioritizing patient safety and benefit.
- Active patient involvement and long-term ethical considerations are paramount for successful neurotechnology implementation.
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