Acceptance of Background Noise, Working Memory Capacity, and Auditory Evoked Potentials in Subjects with Normal Hearing
Acceptance of Background Noise, Working Memory Capacity, and Auditory Evoked Potentials in Subjects with Normal Hearing
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DOI：
10.3766/jaaa.23.7.6
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发表时间：
2012-07-01
影响因子：
1.2
通讯作者：
Ibertsson, Tina
中科院分区：
文献类型：
--
作者：
Brannstrom, K. Jonas;Zunic, Edita;Ibertsson, Tina
背景资料：可接受噪声水平（ANL）测试是一种量化受试者在听语音时接受的背景噪声量的方法。在听力正常的受试者之间和听力正常的受试者的研究之间，ANL有很大的差异，但很少有解释变量被确定。目的：探讨瑞典版ANL测试、工作记忆容量（WMC）和听觉诱发电位（AEP）之间的可能关系。研究设计：ANL、WMC和AEP在受试者之间以平衡顺序进行测试。研究样本：21名听力正常的受试者参加了这项研究（14名女性和7名男性;年龄20-39岁，平均25.7岁）。数据收集和分析：报告的数据包括年龄、纯音平均值（PTA）、最舒适水平（MCL）、背景噪声水平（BNL）、ANL（即，MCL-BNL）、AEP潜伏期、AEP振幅和WMC。计算收集的变量之间的斯皮尔曼等级相关系数，以调查相关性。对收集的变量进行了主成分分析（PCA）和方差最大旋转，以探索潜在因素并估计测试变量之间的相互作用。受试者还根据他们在WMC测试中的结果被分成两组，一组得分低于平均水平，另一组得分高于平均水平。这两组之间的比较使用Mann-Whitney U检验与Bonferroni校正的多重comparation.Results：ANL和WMC之间的负相关，但AEP和ANL或WMC之间没有发现。此外，ANL来源于MCL和BNL，BNL和WMC之间存在显著正相关。然而，AEP潜伏期和振幅与人口统计学变量MCL和BNL之间没有显著相关性。PCA确定了两个潜在因素：一个包含MCL、BNL、ANL和WMC，另一个包含Na波的潜伏期和V波和Na-Pa波的振幅。使用第一个因素中的变量，通过将受试者根据其WMC（WMC低和WMC高）分为两组来进一步探索研究结果。结果发现，WMClow有显着较差的BNL比WMChigh.Conclusions：研究结果表明，有一个很强的BNL和WMC之间的关系，而MCL，ANL，和WMC之间的关联似乎不那么明确。
Background: The acceptable noise level (ANL) test is a method for quantifying the amount of background noise that subjects accept when listening to speech. Large variations in ANL have been seen between normal-hearing subjects and between studies of normal-hearing subjects, but few explanatory variables have been identified.Purpose: To explore a possible relationship between a Swedish version of the ANL test, working memory capacity (WMC), and auditory evoked potentials (AEPs).Research Design: ANL, WMC, and AEP were tested in a counterbalanced order across subjects.Study Sample: Twenty-one normal-hearing subjects participated in the study (14 females and 7 males; aged 20-39 yr with an average of 25.7 yr).Data Collection and Analysis: Reported data consists of age, pure-tone average (PTA), most comfortable level (MCL), background noise level (BNL), ANL (i.e., MCL-BNL), AEP latencies, AEP amplitudes, and WMC. Spearman's rank correlation coefficient was calculated between the collected variables to investigate associations. A principal component analysis (PCA) with Varimax rotation was conducted on the collected variables to explore underlying factors and estimate interactions between the tested variables. Subjects were also pooled into two groups depending on their results on the WMC test, one group with a score lower than the average and one with a score higher than the average. Comparisons between these two groups were made using the Mann-Whitney U-test with Bonferroni correction for multiple comparisons.Results: A negative association was found between ANL and WMC but not between AEP and ANL or WMC. Furthermore, ANL is derived from MCL and BNL, and a significant positive association was found between BNL and WMC. However, no significant associations were seen between AEP latencies and amplitudes and the demographic variables, MCL, and BNL. The PCA identified two underlying factors: One that contained MCL, BNL, ANL, and WMC and another that contained latency for wave Na and amplitudes for waves V and Na-Pa. Using the variables in the first factor, the findings were further explored by pooling the subjects into two groups according to their WMC (WMClow, and WMChigh). It was found that the WMClow had significantly poorer BNL than the WMChigh.Conclusions: The findings suggest that there is a strong relationship between BNL and WMC, while the association between MCL, ANL, and WMC seems less clear-cut.