Cortical encoding of signals in noise: effects of stimulus type and recording paradigm.
Cortical encoding of signals in noise: effects of stimulus type and recording paradigm.
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DOI：
10.1097/aud.0b013e3181ec5c46
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发表时间：
2011-02
期刊：
影响因子：
3.7
通讯作者：
Leek MR
中科院分区：
文献类型：
--
作者：
Billings CJ;Bennett KO;Molis MR;Leek MR
在许多人群和听力条件下，噪音感知缺陷已经得到证明。许多因素有助于在噪声中成功感知听觉刺激，包括中枢听觉系统中的神经编码。生理测量，如皮层听觉诱发电位，可以提供一个在皮层水平的神经编码的视图，可以告知我们的理解听者的能力，感知信号在存在背景噪声。为了更好地理解信噪比神经编码，我们着手确定信号类型、噪声类型和诱发范式对P1-N1-P2复合体的影响。在安静的环境中，9名受试者接受了音调和语音刺激，并接受了三种背景噪声：连续语音频谱噪声、中断语音频谱噪声和四人说话者在-3 dB信噪比下的牙牙学语。在单独的会话中，皮层听觉诱发电位诱发的被动同质范式（单一重复刺激）和主动oddball范式。N1成分的结果表明，信号类型，噪声类型，和唤起范式的显着影响。虽然组分P1和P2也有显着的这些变量的主效应，只有P2表现出显着的这些变量之间的相互作用。在解释噪声中信号诱发电位时，必须仔细考虑信号类型、噪声类型和诱发范式。此外，这些数据证实了CAEP作为理解噪声感知缺陷的辅助手段的可能有用性。
Perception-in-noise deficits have been demonstrated across many populations and listening conditions. Many factors contribute to successful perception of auditory stimuli in noise, including neural encoding in the central auditory system. Physiological measures such as cortical auditory evoked potentials can provide a view of neural encoding at the level of the cortex that may inform our understanding of listeners’ abilities to perceive signals in the presence of background noise. In order to understand signal-in-noise neural encoding better, we set out to determine the effect of signal type, noise type, and evoking paradigm on the P1-N1-P2 complex. Tones and speech stimuli were presented to nine individuals in quiet, and in three background noise types: continuous speech spectrum noise, interrupted speech spectrum noise, and four-talker babble at a signal-to-noise ratio of −3 dB. In separate sessions, cortical auditory evoked potentials were evoked by a passive homogenous paradigm (single repeating stimulus) and an active oddball paradigm. The results for the N1 component indicated significant effects of signal type, noise type, and evoking paradigm. While components P1 and P2 also had significant main effects of these variables, only P2 demonstrated significant interactions among these variables. Signal type, noise type, and evoking paradigm all must be carefully considered when interpreting signal-in-noise evoked potentials. Furthermore, these data confirm the possible usefulness of CAEPs as an aid to understanding perception-in-noise deficits.