Forschungsinformationssystem Universität Greifswald

Oliver Dziemba (Projektleitung) - Klinik und Poliklinik für Hals-Nasen-Ohrenkrankheiten, Kopf- und Halschirurgie

Klinik und Poliklinik für Hals-Nasen-Ohrenkrankheiten, Kopf- und Halschirurgie

In the recent past, one of the main areas of use of E-BERA is the intraoperative measurement in addition to the ECAP measurements. Especially, under bad conditions or in the absence of ECAPs, E-BERA can hedge intraoperative findings. The postoperative use of E-BERA to achieve stimulation parameters of the CI system has become less important [9]. However, the diagnostic potential of suprathreshold derivation of E-BERA measurements is of great importance in cases of clinical practice [8]. Possible disorders can be identified topographically by comparative analysis of individual E-BERA observation in relation to normal findings [5]. However, despite some anecdotic reports [8] [5]., there is no systematic and established clinical routine measure of EAEP in cases of suspected retrocochlear issues after CI. Recently a dedicated broadband EAEPCI-Stimulus for Nucleus implants has been introduced [2]. Using this stimulus normative data for absolute and inter-peak latencies were provided [1]. In analogy to the already known stimulation rate effects of acoustic AEP [7] there is a need for normative data in CI-recipients for those rate effects. The aim of this prospective cohort study is to provide those normative data by recruiting CI-recipients which have met the expected performance [4] for speech recognition according to their preoperative findings. The EAEP recordings will be complemented by NRT recordings in order to enable a differentiation between the root causes of neural rate adaptation. According to clinical experience there are cases with normal routine NRT findings (intra- and postoperative) and very likely pathological rate effects on EAEP latencies and morphology compared to known data in acoustic AEP [7]. Again, reliable reference data for EAEP rate effects are missing and therefore still have to be substituted by “clinical intuition”. References: 1. Dziemba OC (2019) Referenzwerte elektrisch evozierter Potentiale zur objektiven Diagnostik des peripheren auditorischen Systems nach Cochlea-Implantat-Versorgung. Dissertation, Universitätsmedizin Greifswald 2. Dziemba OC, Hocke T, Müller A, Kaftan H (2018) Excitation characteristic of a bipolar stimulus for broadband stimulation in measurements of electrically evoked auditory potentials. Z Med Phys 28(1):73–77. doi:10.1016/j.zemedi.2017.09.008 3. Hey M, Müller-Deile J (2015) Accuracy of measurement in electrically evoked compound action potentials. J Neurosci Methods (239):214–222. doi:10.1016/j.jneumeth.2014.10.0124. Hoppe U, Hocke T, Hast A, Iro H (2019) Maximum preimplantation monosyllabic score as predictor of cochlear implant outcome. HNO (Online First). doi:10.1007/s00106-019-0648-0 5. Hoth S, Dziemba OC (2017) The role of auditory evoked potentials in the context of cochlear implant provision. Presented at the Annual Meeting of ADANO 2015 in Bern. Otol Neurotol 38(10):e522-e530. doi:10.1097/MAO.0000000000001480 6. Ihaka R, Gentleman R (1996) R. A Language for Data Analysis and Graphics. J Comput Graph Stat 5(3):299–314. doi:10.2307/1390807 7. Jiang ZD, Wu YY, Zheng WS, Sun DK, Feng LY, Liu XY (1991) The effect of click rate on latency and interpeak interval of the brain-stem auditory evoked potentials in children from birth to 6 years. Electroencephalogr Clin Neurophysiol 80(1):60–64. doi:10.1016/0168-5597(91)90044-X 8. Müller A, Feick J, Dziemba OC, Mir-Salim P (2016) Objective Diagnostics and Therapie of Hearing Loss Several Years after Cochlear Implant. Laryngo-Rhino-Otol 95(9):634–635. doi:10.1055/s-0042-107352 9. Müller-Deile J (2009) Verfahren zur Anpassung und Evalution von Cochlear-Implant-Sprachprozessoren, 1. Aufl. Median-Verlag von Killisch-Horn, Heidelberg 10. RStudio Team (2016) RStudio: Integrated Development Environment for R, Boston, MA. http://www.rstudio.com/

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