Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system development

Journal article : Review

Adaptive neuromodulation systems and implantable brain-computer interfaces have made notable strides in recent years, translating experimental prototypes into clinical applications and garnering substantial attention from the public. This surge in interest is accompanied by increased scrutiny related to the safety, efficacy, and ethical implications of these systems, all of which must be directly addressed as we introduce new neurotechnologies. In response, we have synthesized the insights resulting from discussions between groups of experts in the field and summarized them into five key domains essential to therapeutic device development: (1) analyzing current landscape of neuromodulation devices and translational platforms (2) identifying clinical need, (3) understanding neural mechanisms, (4) designing viable technologies, and (5) addressing ethical concerns. The role of translational research platforms that allow rapid, iterative testing of hypotheses in both preclinical and clinical settings is emphasized. These platforms must balance experimental flexibility with patient safety and clear clinical benefit. Furthermore, requirements for interoperability, modularity, and wireless communication protocols are explored to support long-term usability and scalability. The current regulatory processes and funding models are examined alongside the ethical responsibilities of researchers and device manufacturers. Special attention is given to the role of patients as active contributors to research and to the long-term obligations we have to them as the primary burden-bearers of the implanted neurotechnologies. This article represents a synthesis of scientific, engineering, and clinical viewpoints to inform key stakeholders in the neuromodulation and brain-computer interface spaces.

Authors: Lampert, F; Baker, MR; Jensen, MA; Ayyoubi, AH; Bentler, C

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: IOP Publishing
• Journal: Journal of Neural Engineering
• Volume: 22
• Issue: 6
• Article number: 061005
• Publication date: 2025-12-19
• Acceptance date: 2025-11-24
• DOI: 10.1088/1741-2552/ae2359
• EISSN: 1741-2552
• ISSN: 1741-2560
• Language: English
• Keywords: implantable neural stimulators (INS); closed-loop stimulation; deep brain stimulation (DBS); adaptive neuromodulation; implantable brain-computer interface (iBCI)
• Subtype: Review