0630 Computational Modeling-Informed Design of Proximal Hypoglossal Nerve Stimulation Using a Multi-Contact Electrode for Targeted Activation in OSA

Abstract Introduction During sleep, tongue muscles coordinate protrusion, retraction, and shaping to maintain airway patency. Physiological studies suggest that antagonistic protrusor-retractor co-activation increases stiffness and lowers critical closing pressure compared with protrusor activation alone, whereas isolated retractor activation may worsen collapse. Our proximal hypoglossal nerve stimulation system (pHGNS) uses a six-contact cuff on the proximal nerve trunk; multiple contacts can be grouped and driven simultaneously at independent current levels. This enables activation patterns beyond traditional respiratory-gated airway rescue. In the OSPREY clinical trial, some patients showed limited response to single-contact dosing. We therefore used a biophysical model to design a PolySync™ contact-grouping algorithm that uses single-contact PSG responses and threshold-weighted dosing to explore additional tongue recruitment patterns in prior non-responders. Methods We used the ASCENT modeling pipeline (COMSOL finite-element model with NEURON axon models) to simulate activation from a six-contact cuff on the proximal hypoglossal trunk and validated the model against OSPREY sensory thresholds. Using this model, we evaluated two-contact groupings under different current-splitting schemes. Prior single-contact PSG responses were classified as therapeutic, neutral, or anti-therapeutic based on apnea-hypopnea index changes. Combinations of two anti-therapeutic contacts were excluded, while therapeutic or neutral contacts could pair with anti-therapeutic contacts to explore antagonistic co-activation. These contact-level PSG classifications, together with model-derived dosing rules, defined the PolySync™ titration strategy that was then employed in OSPREY non-responder re-titration. Results Model predictions reproduced OSPREY sensory threshold trends, with centrally located contacts (relative to cuff insulation) exhibiting lower thresholds than edge contacts. Single-contact stimulation created focal recruitment near individual contacts, whereas grouped contacts distributed current more broadly. Threshold-weighted grouping reduced dominance by low-threshold contacts and produced blended recruitment profiles that reflected both contacts, increasing the diversity of achievable recruitment patterns compared with single-contact dosing. In 10 OSPREY non-responders optimized with PolySync™, 71% (10/14) converted from non-responder to responder. Conclusion A computational model validated against clinical thresholds enabled design of contact-grouping strategies for pHGNS. Tailored therapy through electrode grouping broadened current injection, potentially enhancing tolerability and compliance. PolySync™-titrated results suggest that accessing additional recruitment patterns may support more personalized, tongue-stabilizing pHGNS. Support (if any) This work was supported by LivaNova.

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Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.0629
Primary Topic
Obstructive Sleep Apnea Research
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article
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article

0630 Computational Modeling-Informed Design of Proximal Hypoglossal Nerve Stimulation Using a Multi-Contact Electrode for Targeted Activation in OSA

Jason Begnaud, Rex Chin-Hao Chen, Jean Manuel Prudon, Evan Nicolai
SLEEP
Obstructive Sleep Apnea Research
article

0630 Computational Modeling-Informed Design of Proximal Hypoglossal Nerve Stimulation Using a Multi-Contact Electrode for Targeted Activation in OSA

Jason Begnaud, Rex Chin-Hao Chen, Jean Manuel Prudon, Evan Nicolai
article en

Abstract

Abstract Introduction During sleep, tongue muscles coordinate protrusion, retraction, and shaping to maintain airway patency. Physiological studies suggest that antagonistic protrusor-retractor co-activation increases stiffness and lowers critical closing pressure compared with protrusor activation alone, whereas isolated retractor activation may worsen collapse. Our proximal hypoglossal nerve stimulation system (pHGNS) uses a six-contact cuff on the proximal nerve trunk; multiple contacts can be grouped and driven simultaneously at independent current levels. This enables activation patterns beyond traditional respiratory-gated airway rescue. In the OSPREY clinical trial, some patients showed limited response to single-contact dosing. We therefore used a biophysical model to design a PolySync™ contact-grouping algorithm that uses single-contact PSG responses and threshold-weighted dosing to explore additional tongue recruitment patterns in prior non-responders. Methods We used the ASCENT modeling pipeline (COMSOL finite-element model with NEURON axon models) to simulate activation from a six-contact cuff on the proximal hypoglossal trunk and validated the model against OSPREY sensory thresholds. Using this model, we evaluated two-contact groupings under different current-splitting schemes. Prior single-contact PSG responses were classified as therapeutic, neutral, or anti-therapeutic based on apnea-hypopnea index changes. Combinations of two anti-therapeutic contacts were excluded, while therapeutic or neutral contacts could pair with anti-therapeutic contacts to explore antagonistic co-activation. These contact-level PSG classifications, together with model-derived dosing rules, defined the PolySync™ titration strategy that was then employed in OSPREY non-responder re-titration. Results Model predictions reproduced OSPREY sensory threshold trends, with centrally located contacts (relative to cuff insulation) exhibiting lower thresholds than edge contacts. Single-contact stimulation created focal recruitment near individual contacts, whereas grouped contacts distributed current more broadly. Threshold-weighted grouping reduced dominance by low-threshold contacts and produced blended recruitment profiles that reflected both contacts, increasing the diversity of achievable recruitment patterns compared with single-contact dosing. In 10 OSPREY non-responders optimized with PolySync™, 71% (10/14) converted from non-responder to responder. Conclusion A computational model validated against clinical thresholds enabled design of contact-grouping strategies for pHGNS. Tailored therapy through electrode grouping broadened current injection, potentially enhancing tolerability and compliance. PolySync™-titrated results suggest that accessing additional recruitment patterns may support more personalized, tongue-stabilizing pHGNS. Support (if any) This work was supported by LivaNova.

SLEEPVol. 49(Supplement_1)
LivaNova (France) (FR)
Openalex Percentile: Top 7%
Obstructive Sleep Apnea Research
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