Monopolar Detection Thresholds Predict Spatial Selectivity of Neural Excitation in Cochlear Implants: Implications for Speech Recognition.

Monopolar Detection Thresholds Predict Spatial Selectivity of Neural Excitation in Cochlear Implants: Implications for Speech Recognition.
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DOI:
10.1371/journal.pone.0165476
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发表时间:
2016
期刊:
影响因子:
3.7
通讯作者:
Zhou N
Zhou N
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Zhou N

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该研究的目的是(1)研究使用单极心理物理检测阈值来估计人工耳蜗神经兴奋的空间选择性的潜力,以及(2)检查基于阈值测量的位置移除对语音识别的影响。使用单极刺激脉冲序列测量 Cochlear Nucleus® 设备用户的检测阈值,这些脉冲序列具有 (a) 低速率和长持续时间,(b) 高速率和短持续时间,以及 (c) 高速率和长持续时间。神经兴奋的空间选择性是通过前向掩蔽范例来估计的,其中在前向掩蔽存在的情况下探针阈值升高被测量为掩蔽-探针分离的函数。当阈值刺激的神经反应涉及脉冲间相互作用(不应性和亚阈值适应)和尖峰速率适应时,单极阈值和掩蔽模式的斜率之间的相关性强度系统地降低。低速率刺激的检测阈值与前向掩蔽模式的传播密切相关,并且对于长和高速率脉冲序列,相关性降低。然后测量每个受试者阵列上所有电极的低速率阈值。随后,使用实验图测试了语音识别,该实验图停用了五个具有最高阈值的刺激位点和五个随机选择的刺激位点。在安静和背景噪声下,停用高阈值部位的性能优于所有电极均处于活动状态的受试者每天使用的临床地图的性能。随机失活的性能平均比临床图差,但差异并不显着。这些结果表明,单极低速率阈值与人工耳蜗用户的空间神经激励模式有关,可用于选择位置以实现更佳的语音识别性能。
The objectives of the study were to (1) investigate the potential of using monopolar psychophysical detection thresholds for estimating spatial selectivity of neural excitation with cochlear implants and to (2) examine the effect of site removal on speech recognition based on the threshold measure. Detection thresholds were measured in Cochlear Nucleus® device users using monopolar stimulation for pulse trains that were of (a) low rate and long duration, (b) high rate and short duration, and (c) high rate and long duration. Spatial selectivity of neural excitation was estimated by a forward-masking paradigm, where the probe threshold elevation in the presence of a forward masker was measured as a function of masker-probe separation. The strength of the correlation between the monopolar thresholds and the slopes of the masking patterns systematically reduced as neural response of the threshold stimulus involved interpulse interactions (refractoriness and sub-threshold adaptation), and spike-rate adaptation. Detection threshold for the low-rate stimulus most strongly correlated with the spread of forward masking patterns and the correlation reduced for long and high rate pulse trains. The low-rate thresholds were then measured for all electrodes across the array for each subject. Subsequently, speech recognition was tested with experimental maps that deactivated five stimulation sites with the highest thresholds and five randomly chosen ones. Performance with deactivating the high-threshold sites was better than performance with the subjects’ clinical map used every day with all electrodes active, in both quiet and background noise. Performance with random deactivation was on average poorer than that with the clinical map but the difference was not significant. These results suggested that the monopolar low-rate thresholds are related to the spatial neural excitation patterns in cochlear implant users and can be used to select sites for more optimal speech recognition performance.
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