健康人聆听复杂声音时的频率跟随反应的特殊性

Lyubov' B. Oknina, A. A. Slezkin, Y. Vologdina, A. O. Kantserova, Ekaterina V. Strel'nikova, D. I. Pitskhelauri
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引用次数: 0

摘要

简介:近年来的研究表明,脑干功能障碍可能是导致听力正常者无法感知语言的因素之一。频率跟随反应(FFR)是大脑不同区域对声音或声音频率变化做出反应时产生的一种听觉诱发电位。这种电位的启动与大脑皮层下结构对听觉信息的正确处理有关。然而,到目前为止,还没有任何监管框架允许在常规检查中使用这种电位。目的:确定并分析健康成年人在聆听复杂声音时 FFR 的特殊性。材料和方法:研究对象包括 29 名健康受试者,年龄在 18 至 48 岁之间(平均年龄为 28 ± 10 岁)。大脑电活动由 32 个电极记录。采样频率为 2000 Hz,传输频率为 0.1 Hz-500 Hz。刺激为 30 秒钟的声音,包括五种不同频率(600 Hz、800 Hz、1000 Hz、2000 Hz、4000 Hz)的简单声音,每 100 毫秒随机变化一次。在复杂声音的每个频率变化中都分离出 FFR。计算得出的 FFR 包括两个峰值,每个峰值的振幅、潜伏期和偶极源。结果:所有受试者都获得了 FFR,并包含两个峰值。据统计,一些受试者的 FFR 峰值振幅较高,潜伏期较短。在 FFR 峰值振幅较高的受试者中,第一个峰值有三个偶极:脑干和右半球皮层(布罗德曼区 6 和 39)。第二个峰值在大脑皮层(布罗德曼区 19)发现了一个偶极。在低振幅 FFR 峰值的受试者中,第一个峰值在脑干中发现了一个信号源。第二个峰值有两个偶极:后扣带回皮层(布罗德曼区 23)和丘脑内侧。结论:获得的数据表明,记录和分析 FFR 的方法可用于评估中脑在感知听觉刺激时的功能完整性和正确参与。其峰值振幅-时间参数的特殊性可能反映了个体精细分辨刺激的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Peculiarities of Frequency-Following Response in Healthy Individuals when Listening to Complex Sounds
INTRODUCTION: Studies of recent years showed that functional disorders in the brainstem may be one of factors causing inability to perceive speech by normal-hearing individuals. Frequency-following response (FFR) is an auditory evoked potential emerging in different regions of the brain in response to a sound or a change in the sound frequency. The initiation of this potential is associated with the correct processing of auditory information in the subcortical structures of the brain. However, until the moment, there is no regulatory framework that could permit use of this potential in routine examinations. AIM: To identify and analyze the peculiarities of FFR in healthy adult individuals when listening to a complex sound. MATERIALS AND METHODS: The study included 29 healthy subjects aged from 18 to 48 years (mean age 28 ± 10 years). Electrical activity of the brain was recorded from 32 electrodes. Sampling frequency 2000 Hz, transmission frequency 0.1 Hz–500 Hz. The stimulus was a 30-s sound that included simple sounds of five different frequencies (600 Hz, 800 Hz, 1000 Hz, 2000 Hz, 4000 Hz) changing in a random order every 100 ms. FFR was isolated in each frequency change in the complex sound. The resulting FFR included two peaks, for each amplitude, latency, and dipole sources were calculated. RESULTS: FFR was obtained in all the subjects and included two peaks. In some subjects, FFR peaks had a statistically higher amplitude and lower latency. In subjects with a higher amplitude FFR peaks, three dipoles were identified for the first peak: in the brainstem and in the cortex of the right hemisphere (Brodmann areas 6 and 39). For the second peak, one dipole was identified in the cortex (Brodmann area 19). In subjects with low amplitude FFR peaks, for the first peak one source in the brainstem was identified. For the second peak, two dipoles were identified: in the posterior cingulate cortex (Brodmann area 23) and in the medial thalamus. CONCLUSION: The data obtained suggest that the method of recording and analyzing FFR can be used to assess the functional integrity and correct participation of the midbrain in the perception of auditory stimuli. The peculiarities of amplitude-time parameters of its peaks probably reflect the individual ability to finely differentiate stimuli.
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