Literature DB >> 33647987

Model-based analysis of implanted hypoglossal nerve stimulation for the treatment of obstructive sleep apnea.

Matthew D Johnson1, Yazan M Dweiri2, Jason Cornelius3, Kingman P Strohl4, Armin Steffen5, Maria Suurna6, Ryan J Soose7, Michael Coleman8, John Rondoni8, Dominique M Durand9, Quan Ni8.   

Abstract

STUDY
OBJECTIVES: Individuals with obstructive sleep apnea (OSA), characterized by frequent sleep disruptions from tongue muscle relaxation and airway blockage, are known to benefit from on-demand electrical stimulation of the hypoglossal nerve. Hypoglossal nerve stimulation (HNS) therapy, which activates the protrusor muscles of the tongue during inspiration, has been established in multiple clinical studies as safe and effective, but the mechanistic understanding for why some stimulation parameters work better than others has not been thoroughly investigated.
METHODS: In this study, we developed a detailed biophysical model that can predict the spatial recruitment of hypoglossal nerve fascicles and axons within these fascicles during stimulation through nerve cuff electrodes. Using this model, three HNS programming scenarios were investigated including grouped cathode (---), single cathode (o-o), and guarded cathode bipolar (+-+) electrode configurations.
RESULTS: Regardless of electrode configuration, nearly all hypoglossal nerve axons circumscribed by the nerve cuff were recruited for stimulation amplitudes <3 V. Within this range, monopolar configurations required lower stimulation amplitudes than the guarded bipolar configuration to elicit action potentials within hypoglossal nerve axons. Further, the spatial distribution of the activated axons was more uniform for monopolar versus guarded bipolar configurations.
CONCLUSIONS: The computational models predicted that monopolar HNS provided the lowest threshold and the least sensitivity to rotational angle of the nerve cuff around the hypoglossal nerve; however, this setting also increased the likelihood for current leakage outside the nerve cuff, which could potentially activate axons in unintended branches of the hypoglossal nerve. CLINICAL TRIAL REGISTRATION: NCT01161420. © Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.

Entities:  

Keywords:  computational model; electrode configuration; hypoglossal nerve stimulation; nerve cuff; obstructive sleep apnea; stimulation settings

Mesh:

Year:  2021        PMID: 33647987     DOI: 10.1093/sleep/zsaa269

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  3 in total

1.  High-resolution computational modeling of the current flow in the outer ear during transcutaneous auricular Vagus Nerve Stimulation (taVNS).

Authors:  Erica Kreisberg; Zeinab Esmaeilpour; Devin Adair; Niranjan Khadka; Abhishek Datta; Bashar W Badran; J Douglas Bremner; Marom Bikson
Journal:  Brain Stimul       Date:  2021-09-10       Impact factor: 8.955

2.  Neurophysiological profiles of responders and nonresponders to hypoglossal nerve stimulation: a single-institution study.

Authors:  Daiqi Wang; Oleg Modik; Joshua J Sturm; James Metkus; Rachel Oaks-Leaf; Adam Kaplan; Quan Ni; Maria Suurna
Journal:  J Clin Sleep Med       Date:  2022-05-01       Impact factor: 4.324

Review 3.  New Medical Device and Therapeutic Approvals in Otolaryngology: State of the Art Review of 2021.

Authors:  Alexander M Choi; Michael J Brenner; Daniel Gorelik; Isaac D Erbele; Matthew G Crowson; Prajoy Kadkade; Masayoshi Takashima; Peter L Santa Maria; Robert S Hong; Austin S Rose; Benjamin T Ostrander; Cyrus C Rabbani; Robert J Morrison; Philip A Weissbrod; Alan D Tate; Joshua J Kain; Ioan A Lina; Scott R Shaffer; Omar G Ahmed
Journal:  OTO Open       Date:  2022-09-23
  3 in total

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