PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 2, 20260 citations

Principles of Physiologic Closed-Loop Controllers in Neuromodulation.

View Full Paper
VMVictoria S. MarksJRJoram J. van RheedeDKDean M Karantonis

Key Points

  • This manuscript aims to establish a framework for neuromodulation-based closed-loop controllers, addressing the need for risk management and optimization.
  • Developed a common framework for mapping neuromodulation-based physiologic closed-loop controllers.
  • Integrated FDA guidance on medical devices with physiologic closed-loop control technology.
  • Illustrated risk management applications using three exemplary technologies.
  • Presented a systematic outline for device development and testing.
  • Mitigated risk through standardized terminology.
  • Provided guidance for implementing physiologic closed-loop controllers in neuromodulation.

Abstract

RATIONALE: As neurostimulation devices increasingly incorporate closed-loop functionality, the greater design complexity brings additional requirements for risk management and special considerations to optimize benefit. This manuscript creates a common framework on which all current and planned neuromodulation-based physiologic closed-loop controllers (PCLCs) can be mapped, including integration of the "Technical Considerations of Medical Devices with Physiologic Closed-Loop Control Technology" guidance published in 2023 by the United States Food and Drug Administration, a classification of feedback (reactive) and feedforward (predictive) biomarkers, and control systems theory. RESULTS AND CONCLUSIONS: We explain risk management in the context of this framework and illustrate its applications for three exemplary technologies. This manuscript serves as guidance to the emerging field of PCLCs in neuromodulation, mitigating risk through standardized nomenclature and a systematic outline for rigorous device development, testing, and implementation.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Marks et al. (2026) studied this question.

synapsesocial.com/papers/69f5943c71405d493afff040https://doi.org/10.1016/j.neurom.2026.03.010
Ask AI
Helpful
Bookmark
Share
View Full Paper