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Titel: Identification of Neural Mechanisms in First Single-Sweep Analysis in oVEMPs and Novel Normative Data
VerfasserIn: Hecker, Dietmar J.
Scherer, Hans
Schönfeld, Uwe
Jerono, Laura
Koch, Armand
Rink, Anna-Katharina
Schulte-Goebel, Lisa
Linxweiler, Maximilian
Fousse, Mathias
Bozzato, Alessandro
Schick, Bernhard
Sprache: Englisch
Titel: Journal of Clinical Medicine
Bandnummer: 11
Heft: 23
Verlag/Plattform: MDPI
Erscheinungsjahr: 2022
Freie Schlagwörter: oVEMPs
bone-conducted
n10 amplitude and latency
single sweeps
synchronization
novel algorithms
efferent mechanism
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Background: Bone-conducted (BC) VEMPs provide important tools for measuring otolith function. However, two major drawbacks of this method are encountered in clinical practice—small n10 amplitude and averaging technique. In this study, we present the results of a new VEMP setup measuring technique combined with a novel single-sweep analysis. Methods: The study included BC oVEMP data from 92 participants for the evaluation of normative data using a novel analysis technique. For evaluating test-retest reliability, the intraclass correlation coefficient (ICC) was used. Results: We found significant n10 amplitude differences in single-sweep analyses after the first and second measurements. Thereby, mathematical analyses of the head movement did not show any differences in the first or second measurements. The normative n10 amplitude was 20.66 µV with an asymmetric ratio (AR) of 7%. The new value of late shift difference (LSD) was 0.01 ms. The test retest-reliability showed good to excellent ICC results in 9 out of 10 measurements. Conclusions: Our results support a phenomenon in single-sweep analysis of the first stimuli independent of head movement and signal morphology. Furthermore, the values obtained with the new measurement method appear to be more sensitive and may allow an extended diagnostic range due to the new parameter LSD.
DOI der Erstveröffentlichung: 10.3390/jcm11237124
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-385118
hdl:20.500.11880/34775
http://dx.doi.org/10.22028/D291-38511
ISSN: 2077-0383
Datum des Eintrags: 15-Dez-2022
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Hals-Nasen-Ohrenheilkunde
Professur: M - Prof. Dr. Bernhard Schick
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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