Prakash S R, Herrmann Barbara S, Milojcic Rupprecht, Rauch Steven D, Guinan John J
1Harvard-MIT Division of Health Science and Technology, Speech and Hearing Bioscience and Technology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA; 2Department of Otology and Laryngology, Harvard Medical School, Boston, Massachusetts, USA; 3Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA; 4Department of Audiology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA; and 5Eaton-Peabody Laboratories, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA.
Ear Hear. 2015 Sep-Oct;36(5):591-604. doi: 10.1097/AUD.0000000000000158.
Vestibular evoked myogenic potentials (VEMPs) are due to vestibular responses producing brief inhibitions of muscle contractions that are detectable in electromyographic (EMG) responses. VEMP amplitudes are traditionally measured by the peak to peak amplitude of the averaged EMG response (VEMPpp) or by a normalized VEMPpp (nVEMPpp). However, a brief EMG inhibition does not satisfy the statistical assumptions for the average to be the optimal processing strategy. Here, it is postulated that the inhibition depth of motoneuron firing is the desired metric for showing the influence of the vestibular system on the muscle system. The authors present a metric called "VEMPid" that estimates this inhibition depth from the EMG data obtained in a usual VEMP data acquisition. The goal of this article was to compare how well VEMPid, VEMPpp, and nVEMPpp track inhibition depth.
To find a robust method to compare VEMPid, VEMPpp, and nVEMPpp, realistic physiological models for the inhibition of VEMP EMG signals were made using VEMP data from four measurement sessions on each of the five normal subjects. Each of the resulting 20 EMG-production models was adjusted to match the EMG autocorrelation of an individual subject and session. Simulated VEMP traces produced by these models were used to compare how well VEMPid, VEMPpp, and nVEMPpp tracked model inhibition depth.
Applied to simulated and real VEMP data, VEMPid showed good test-retest consistency and greater sensitivity at low stimulus levels than VEMPpp or nVEMPpp. For large-amplitude responses, nVEMPpp and VEMPid were equivalent in their consistency across subjects and sessions, but for low-amplitude responses, VEMPid was superior. Unnormalized VEMPpp was always worse than nVEMPpp or VEMPid.
VEMPid provides a more reliable measurement of vestibular function at low sound levels than the traditional nVEMPpp, without requiring a change in how VEMP tests are performed. The calculation method for VEMPid should be applicable whenever an ongoing muscle contraction is briefly inhibited by an external stimulus.
前庭诱发肌源性电位(VEMPs)是由于前庭反应产生短暂的肌肉收缩抑制,这种抑制可在肌电图(EMG)反应中检测到。VEMP振幅传统上通过平均EMG反应的峰峰值振幅(VEMPpp)或归一化的VEMPpp(nVEMPpp)来测量。然而,短暂的EMG抑制并不满足将平均值作为最佳处理策略的统计假设。在此,假设运动神经元放电的抑制深度是显示前庭系统对肌肉系统影响的理想指标。作者提出了一种称为“VEMPid”的指标,该指标可从常规VEMP数据采集中获得的EMG数据估计这种抑制深度。本文的目的是比较VEMPid、VEMPpp和nVEMPpp追踪抑制深度的效果。
为了找到一种比较VEMPid、VEMPpp和nVEMPpp的可靠方法,利用五名正常受试者每人四次测量会话的VEMP数据,建立了VEMP EMG信号抑制的真实生理模型。对由此产生的20个EMG产生模型中的每一个进行调整,以匹配个体受试者和会话的EMG自相关。这些模型产生的模拟VEMP轨迹用于比较VEMPid、VEMPpp和nVEMPpp追踪模型抑制深度的效果。
应用于模拟和真实的VEMP数据时,VEMPid显示出良好的重测一致性,并且在低刺激水平下比VEMPpp或nVEMPpp具有更高的敏感性。对于大幅度反应,nVEMPpp和VEMPid在不同受试者和会话中的一致性相当,但对于低幅度反应,VEMPid更具优势。未归一化的VEMPpp总是比nVEMPpp或VEMPid差。
与传统的nVEMPpp相比,VEMPid在低声级时能提供更可靠的前庭功能测量,且无需改变VEMP测试的执行方式。只要正在进行的肌肉收缩被外部刺激短暂抑制,VEMPid的计算方法就应该适用。