Iranian Journal of Biomedical Engineering (IJBME)
نشریه علمی مهندسی پزشکی زیستی

How Similar is the Auditory Midbrain Implant to the Hearing Pathway Nerves? A Time-Based Series Modelling Research

Document Type : Full Research Paper

Authors

Ehsan Mohammadi Mahmoei 1
Reza Lashgari 2
Behrouz Salamat 2

1 M.Sc., Institute of Medical Science and Technology (IMSAT), Shahid Beheshti University, Tehran, Iran

2 Assistant Professor, Institute of Medical Science and Technology (IMSAT), Shahid Beheshti University, Tehran, Iran

https://doi.org/10.22041/ijbme.2023.551923.1765
Abstract
The human body has five main senses of sight, hearing, taste, smell and touch. The defective performance of any of these senses causes us to solve this problem and use technology for this purpose. The sense of hearing is no exception and several attempts have been made to restore it, which has led to the design of various implants. In this study, with the aim of investigating the function of the auditory midbrain implant (AMI) in restoring hearing ability, the cat’s auditory system has been stimulated in acoustic and electrical stimulation. Electrical stimuli are the result of AMI injecting current into the central nucleus of the inferior colliculus (ICC) and acoustic stimuli are the result of pure tone sound in the cat’s ear. After stimulation, responses were extracted from the primary auditory cortex of the cat's brain. Finally, a neural network (NN) with backpropagation-based modelling has been used. After data acquisition and processing, it was clear that AMI successfully stimulated the ICC. But it is associated with delays during stimulation. After model creation, it was found that the Levenberg-Marquardt algorithm with 10 neurons in the hidden layer had the best performance compared to the others with an error of 0.009. Also, both models show similar behaviour to frequency changes, but the electrical model at a constant frequency shows a bigger response at the output. Finally, the interval between the transmission of the neural message from the cochlear nucleus to the inferior colliculus was calculated at 9 milliseconds.

Keywords

Auditory Midbrain Implant
Local Field Potentials
Electrical and Acoustic Stimulation
Nonlinear Modeling
Levenberg-Marquardt Algorithm
Subjects
  1. Lenarz T, Lim H, Joseph G, Reuter G, Lenarz M. [Central auditory prosthesis]. HNO. 2009;57(6):551-62.
  2. Disorders NIoDaOC. Cochlear Implants NIDCD Fact Sheet | Hearing and Balance2021 [updated March 24, 2021.
  3. Schierholz I, Finke M, Kral A, Buchner A, Rach S, Lenarz T, et al. Auditory and audio-visual processing in patients with cochlear, auditory brainstem, and auditory midbrain implants: An EEG study. Hum Brain Mapp. 2017;38(4):2206-25.
  4. Lenarz M, Lim HH, Lenarz T, Reich U, Marquardt N, Klingberg MN, et al. Auditory midbrain implant: histomorphologic effects of long-term implantation and electric stimulation of a new deep brain stimulation array. Otol Neurotol. 2007;28(8):1045-52.
  5. Connor SEJ. Contemporary imaging of auditory implants. Clin Radiol. 2018;73(1):19-34.
  6. Calixto R, Salamat B, Rode T, Hartmann T, Volckaerts B, Ruther P, et al. Investigation of a new electrode array technology for a central auditory prosthesis. PLoS One. 2013;8(12):e82148.
  7. Calixto R, Lenarz M, Neuheiser A, Scheper V, Lenarz T, Lim HH. Coactivation of different neurons within an isofrequency lamina of the inferior colliculus elicits enhanced auditory cortical activation. J Neurophysiol. 2012; 108(4): 1199-210.
  8. Lim HH, Lenarz M, Lenarz T. Auditory midbrain implant: a review. Trends Amplif. 2009;13(3):149-80.
  9. Lim HH, Lenarz T, Anderson DJ, Lenarz M. The auditory midbrain implant: effects of electrode location. Hear Res. 2008;242(1-2):74-85.
  10. Lenarz T, Lim HH, Reuter G, Patrick JF, Lenarz M. The auditory midbrain implant: a new auditory prosthesis for neural deafness-concept and device description. Otol Neurotol. 2006;27(6):838-43.
  11. Lenarz M, Lim HH, Patrick JF, Anderson DJ, Lenarz T. Electrophysiological validation of a human prototype auditory midbrain implant in a guinea pig model. J Assoc Res Otolaryngol. 2006;7(4):383-98.
  12. Neuheiser A, Lenarz M, Reuter G, Calixto R, Nolte I, Lenarz T, et al. Effects of pulse phase duration and location of stimulation within the inferior colliculus on auditory cortical evoked potentials in a guinea pig model. J Assoc Res Otolaryngol. 2010;11(4):689-708.
  13. Salamat B. Functional Enhancement of Auditory Activation through Multi-Site Stimulation. PLoS One. 2013;8(12):e82148.
  14. Dyballa KH, Lim H, Samii A, Metwali H, Salcher R, Dengler R, et al. The New Auditory Midbrain Implant – Second Clinical Trial. Laryngorhinootologie. 2018;97(S 02):10709.
  15. Lenarz T, Samii A, Dyballa KH, Lim H. Central auditory protheses to treat neural deafness including the novel double shank auditory midbrain implant. Laryngorhinootologie. 2018;97(S 02):10761.
  16. Seikel JA, Konstantopoulos K, Drumright DG. Neuroanatomy and Neurophysiology for Speech and Hearing Sciences: Plural Publishing, Incorporated; 2018.
  17. Ghosal S, Sengupta S, Majumder M, Sinha B. Linear Regression Analysis to predict the number of deaths in India due to SARS-CoV-2 at 6 weeks from day 0 (100 cases - March 14th). Diabetes Metab Syndr. 2020; 14 (4): 311-5.
  18. Gessler JP. Sensor para análisis de alimentos aplicando espectroscopía de impedancia y redes neuronales artificiales. 2021.
  19. French J. The time traveller’s CAPM. Investment Analysts Journal. 2017;46(2):81-96.
  20. Hagan MT, Demuth HB, Beale M. Neural network design: PWS Publishing Co.; 1997.
  21. Cao Y, Huang J. Neural-network-based nonlinear model predictive tracking control of a pneumatic muscle actuator-driven exoskeleton. IEEE/CAA Journal of Automatica Sinica. 2020;7(6):1478-88.
  22. Yadav AK, Chandel S. Solar radiation prediction using Artificial Neural Network techniques: A review. Renewable and sustainable energy reviews. 2014;33:772-81.
  23. Gonzalez J, Yu W. Non-linear system modeling using LSTM neural networks. IFAC-PapersOnLine. 2018;51(13):485-9.
  24. Liu Z, Yang Y, Cai Q. Neural network as a function approximator and its application in solving differential equations. Applied Mathematics and Mechanics. 2019; 40 (2): 237-48.
  25. Faiz O, Blackburn S, Moffat D. Anatomy at a Glance: Wiley; 2011.
  26. Verhulst S, Altoè A, Vasilkov V. Computational modeling of the human auditory periphery: Auditory-nerve responses, evoked potentials and hearing loss. Hearing Research. 2018; 360: 55-75.
  27. Heffner RS, Heffner HE. Hearing range of the domestic cat. Hearing Research. 1985; 19 (1): 85-8.
  28. Ratnanather JT, Wang LC, Bae S-H, O'Neill ER, Sagi E, Tward DJ. Visualization of speech perception analysis via phoneme alignment: a pilot study. Frontiers in Neurology. 2021;12.
  29. Rode T, Hartmann T, Hubka P, Scheper V, Lenarz M, Lenarz T, et al. Neural representation in the auditory midbrain of the envelope of vocalizations based on a peripheral ear model. Front Neural Circuits. 2013;7:166.
Iranian Journal of Biomedical Engineering (IJBME)
Volume 16, Issue 3
Autumn 2022
Pages 195-205

  • Receive Date 13 April 2022
  • Revise Date 13 October 2022
  • Accept Date 20 January 2023

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