Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system development
Year: 2025
Type: article
Abstract: 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.
Source: Journal of Neural Engineering
Authors: Frederik Lampert, Matthew R Baker, Michael A Jensen, Amir H Ayyoubi, Christian Bentler, Jessica L Bowersock, Rosana Esteller, Jeffrey A Herron, Graham W Johnson, Daryl R Kipke, Christopher K Kovach, Vaclav Kremen, Filip Mivalt, Joseph S Neimat, Theoden I Netoff, Enrico Opri, Alexander Rockhill, Joshua M Rosenow, Kristin K Sellers, Nathan P Staff, Chandra Prakash Swamy, Ashwin Viswanathan, Gerwin Schalk, Timothy Denison, Dora Hermes, Nuri F Ince, Peter Brunner, Gregory A Worrell, Kai J Miller
Institutions: Mayo Clinic, University of Minnesota, University of Minnesota Rochester, University of Louisville, Boston Scientific (United States), University of Washington, Vanderbilt University, NeuroNexus (United States), University of Nebraska Medical Center, University of Michigan, Oregon Health & Science University, Northwestern University, Northwestern Medicine, University of California, San Francisco, Baylor College of Medicine, University of Bath, University of Oxford, Washington University in St. Louis
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,325
Awards: G1600399044, G1808078543, G2242485319, G2653865624, G2875759400, CRCNS: Processing speed in the human connectome across the lifespan, Motor Recovery through Plasticity-Inducing Cortical Stimulation, G3450089018, G4453560722, Neurophysiologically Based Brain State Tracking & Modulation in Focal Epilepsy, G4909252465, Investigation of Stereotyped High-Frequency Oscillations with Computational Intelligence for the Prediction of Seizure Onset Zone in Epilepsy, G5289518309, Acute Modulation of Stereotyped High Frequency Oscillations with a Closed-Loop Brain Interchange System in Drug Resistant Epilepsy, An Ecosystem of Technology and Protocols for Adaptive Neuromodulation Research in Humans, Oscillatory Neural Correlates of Motor Phenotypes in Parkinson Disease
OpenAlex ID: W4416588010