豚鼠耳蜗电图慢成分的研究

选用0.8-150Hz的带通滤波,从豚鼠圆窗记录出一负一正相慢电位.实验结果表明.其对0.5kHz短音的反应阈为729dB nHL.较耳蜗电图快成分低38.27dB nHL.通过离断听觉传导径路不同水平对该电位的观察,表明它是毛细胞及听神经电反应的慢成分.而且可能受听觉传出神经的调控.     

猫耳蜗电图中N_2波起源的分析

在35只猫进行了耳蜗电图、听觉脑干电反应及耳蜗核局部电位的同时描记,将普鲁卡因或海人酸微量注入耳蜗核内,观察电位的变化,以分析耳蜗电图中N_2 波的起源。实验结果表明:猫的 N_2 波来源于外周第一级神经元冲动的成分和耳蜗核电活动的成分。     

听觉早潜伏期电位同步记录法研究

听觉脑干电位(BAEP)和耳蜗电图(EcochG)是从头部不同位置记录出来的听觉早潜伏期电位。听觉早潜伏期电位由快波电位(快成分)和慢波电位(慢成分)组成。BAEP由快波电位(FW-BAEP)和慢波电位(SW BAEP)组成,是从颅顶记录     

长期观察多种听觉诱发电位的一种动物模型

在豚鼠的面神经管和颅顶同时植入电极、在清醒状态下长期观察耳蜗电图、听觉诱发的ＳＮ４电位、听觉脑干电位、听觉中潜伏期反应、听觉中潜伏期反应的４０Ｈｚ相关电位及颅顶慢电位等听觉诱发电位,电极不接触、不损害听觉结构,埋植３、６个月的成功率分别为８８．１０％、８０．９５％,埋植１２－１８个月的成功率为７６．１９％。     

噪声短时暴露所致的耳蜗电位改变

本实验观察115dB(SPL)白噪声暴露20min对豚鼠耳蜗直流电位(EP),复合听神经动作电位(CAP),微音器电位(CM)的影响。发现此种噪声暴露确可提高源于血管纹的正EP(P-EP),说明有血管纹功能的代偿性增强;而负EP(N-EP)变化不大。AP及CM输入-输出函数的变化说明噪声首先影响外毛细胞的主动运动功能。EP与耳蜗电图的对照分析表明,血管纹功能的改变确能影响噪声性听损伤的发展。     

噪声对豚鼠耳蜗电图功率谱的影响

本文对豚鼠噪声暴露后的耳蜗电图功率谱进行了分析,实验表明:噪声组豚鼠耳蜗电图功率谱150～300Hz频段能量较正常组有明显增长;500～850Hz和850～1400Hz频段能量不集中(表2).另外,噪声组耳蜗电图功率谱与标准型的相关度比正常组与标准型的相关度差(P<0.01).     

催产素对强噪声所致声音强度辨别功能损伤的拮抗作用

我们已发现外源性催产素能改善人及豚鼠以恼干电位或耳蜗电图为指标的听觉功能。本文在对照组和预先给予催产素处理的豚鼠上,比较了125dB(SPL)白噪声暴露20min前后声音强度辨别能力的改变,并比较了肌内注射和侧脑室微量注射两种不同给药途径的作用。实验以重复短声调幅引起的皮层慢反应电位阈值I_r为指标,观察了催产素对豚鼠声音强度辨别功能的影响。结果发现对照组噪声暴露所致I_r的升高明显高于催产素处理组,且此种暂时性阈移的恢复也明显慢于催产素组;催产素两种给药途径的结果无明显差异。这些结果进一步提示催产素对声音强度辨别功能具有保护作用。     

提高外淋巴钙浓度对耳蜗电位的影响

本实验以人工外淋巴灌流方式,提高豚鼠耳蜗外淋巴液钙离子浓度（［Ｃａ２＋］ＰＬ）,观察蜗内直流电位（ＥＰ）和耳蜗电图（ＥＣｏｃｈＧ）的变化,ＥＣｏｃｈＧ包括听神经复合动作电位（ＣＡＰ）、耳蜗微音电位（ＣＭ）。结果可见：高钙灌流明显抑制ＣＡＰ幅值,延长同一声强下（９０ｄＢＳＰＬ）Ｎ１－峰潜伏期,但不改变ＣＭ的幅值及总和ＥＰ（Ｇ－ＥＰ）。高钙灌流降低了ＥＰ对噪声的给－撤声反应（ＥＰ－ＯＮ,ＥＰ－ＯＦＦ）和缺氧所得到的最大负ＥＰ（Ｎ－ＥＰ）绝对值。本文分析了外淋巴高钙影响耳蜗电位的可能机制。     

正常人和某些病变性眼的平均视网膜电图及振荡电位

本工作用全视野闪光刺激器结合微处理机平均技术对人视网膜电图(ERG)进行了记录和分析。正常人的 ERG 主要由 a 波、b 波和振荡电位组成。正常人的振荡电位的峰值时间及其间隔相当恒定,但在糖尿病性视网膜病和视神经萎缩病人,振荡电位减小或消失。本文对这种改变的可能原因进行了讨论。     

白噪声对听觉脑干电反应(ABR)和耳蜗电图(ECochG)的影响

本文通过20例听力正常人和10例听力正常豚鼠研究了白噪声对耳蜗电图(ECochG)和听觉脑干电反应(ABR)的干涉作用。实验结果表明,白噪声比短声(信号)的声强级低30dB(SL)以上时,ECochG和ABR的振幅仅轻微减小。白噪声与短声的声强级相等时,ECochG与ABR的振幅和出现率会明显受到干涉而减小,甚至完全消失。但是,此时的耳蜗微音器电位(CM)并未观察到有明显的变化。这意味着白噪声对ECochG和ABR的干涉作用主要与围绕毛细胞基底部的突触产生的抑制密切相关。由于白噪声对ABR各波的干涉有些差异,所以认为这种抑制,可能既包括脑中抑制也包括侧方抑制。     

Modulation of auditory responsiveness in the locust

The auditory responsiveness of a number of neurones in the meso- and metathoracic ganglia of the locust, Locusta migratoria, was found to change systematically during concomitant wind stimulation. Changes in responsiveness were of three kinds: a suppression of the response to low frequency sound (5 kHz), but an unchanged or increased response to high frequency (12 kHz) sound; an increased response to all sound; a decrease in the excitatory, and an increase in the inhibitory, components of a response to sound. Suppression of the response to low frequency sound was mediated by wind, rather than by the flight motor. Wind stimulation caused an increase in membrane conductance and concomitant depolarization in recorded neurones. Wind stimulation potentiated the spike response to a given depolarizing current, and the spike response to a high frequency sound, by about the same amount. The strongest wind-related input to interneuron 714 was via the metathoracic N6, which carries the axons of auditory receptors from the ear. The EPSP evoked in central neurones by electrical stimulation of metathoracic N6 was suppressed by wind stimulation, and by low frequency (5 kHz), but not high frequency (10 kHz), sound. This suppression disappeared when N6 was cut distally to the stimulating electrodes. Responses to low frequency (5 kHz), rather than high frequency (12 kHz), sounds could be suppressed by a second low frequency tone with an intensity above 50-55 dB SPL for a 5 kHz suppressing tone. Suppression of the electrically-evoked EPSP in neurone 714 was greatest at those sound frequencies represented maximally in the spectrum of the locust's wingbeat. It is concluded that the acoustic components of a wind stimulus are able to mediate both inhibition and excitation in the auditory pathway. By suppressing the responses to low frequency sounds, wind stimulation would effectively shift the frequency-response characteristics of central auditory neurones during flight.     

Latency represents sound frequency in mouse IC

Frequency is one of the fundamental parameters of sound.The frequency of an acoustic stimulus can be represented by a neural response such as spike rate,and/or first spike latency(FSL)of a given neuron.The spike rates/frequency function of most neurons changes with different acoustic ampli-tudes,whereas FSL/frequency function is highly stable.This implies that FSL might represent the fre-quency of a sound stimulus more efficiently than spike rate.This study involved representations of acoustic frequency by spike rate and FSL of central inferior colliculus(IC)neurons responding to free-field pure-tone stimuli.We found that the FSLs of neurons responding to characteristic frequency(CF)of sound stimulus were usually the shortest,regardless of sound intensity,and that spike rates of most neurons showed a variety of function according to sound frequency,especially at high intensities.These results strongly suggest that FSL of auditory IC neurons can represent sound frequency more precisely than spike rate.     

Latency represents sound frequency in mouse IC

Frequency is one of the fundamental parameters of sound. The frequency of an acoustic stimulus can be represented by a neural response such as spike rate, and/or first spike latency (FSL) of a given neuron. The spike rates/frequency function of most neurons changes with different acoustic amplitudes, whereas FSL/frequency function is highly stable. This implies that FSL might represent the frequency of a sound stimulus more efficiently than spike rate. This study involved representations of acoustic frequency by spike rate and FSL of central inferior colliculus (IC) neurons responding to free-field pure-tone stimuli. We found that the FSLs of neurons responding to characteristic frequency (CF) of sound stimulus were usually the shortest, regardless of sound intensity, and that spike rates of most neurons showed a variety of function according to sound frequency, especially at high intensities.These results strongly suggest that FSL of auditory IC neurons can represent sound frequency more precisely than spike rate.     

Coding of envelope modulation in the auditory nerve and anteroventral cochlear nucleus.

We have investigated responses of the auditory nerve fibres (ANFS) and anteroventral cochlear nucleus (AVCN) units to narrowband 'single-formant' stimuli (SFSS). We found that low and medium spontaneous rate (SR) ANFS maintain greater amplitude modulation (AM) in their responses at high sound levels than do high SR units when sound level is considered in dB SPL. However, this partitioning of high and low SR units disappears if sound level is considered in dB relative to unit threshold. Stimuli with carrier frequencies away from unit best frequency (BF) were found to generate higher AM in responses at high sound levels than that observed even in most low and medium SR units for stimuli with carrier frequencies near BF. AVCN units were shown to have increased modulation depth in their responses when compared with high SR ANFS with similar BFS and to have increased or comparable modulation depth when compared with low SR ANFS. At sound levels where AM almost completely disappears in high SR ANFS, most AVCN units we studied still show significant AM in their responses. Using a dendritic model, we investigated possible mechanisms of enhanced AM in AVCN units, including the convergence of inputs from different SR groups of ANFS and a postsynaptic threshold mechanism in the soma.     

褐菖鲉的听觉阈值研究

利用听觉诱发电位记录技术研究了褐菖鲉(Sebasticus marmoratus)的听觉阈值。通过采用听觉生理系统记录和分析了8尾褐菖鲉对频率范围在100—1000 Hz的7种不同频率的声音刺激的诱发电位反应。结果表明, 褐菖鲉的听觉阈值在整体上随着频率增加而增加, 对100—300 Hz的低频声音信号敏感, 最敏感频率为150 Hz, 对应的听觉阈值为70 dB re 1 μPa。褐菖鲉的听觉敏感区间与其发声频率具有较高的匹配性, 表明其声讯交流的重要性。同时, 人为低频噪声可能对其声讯交流造成影响。     

Modelling slow wave activity in the small intestine

We have developed an anatomically based model to simulate slow wave activity in the small intestine. Geometric data for the human small intestine were obtained from the Visible Human project. These data were used to create a one-dimensional finite element mesh of the entire small intestine using an iterative fitting procedure. The electrically active components of the intestinal walls were modelled using a modified Fitzhugh-Nagumo cell model embedded within a longitudinal smooth muscle layer and a layer containing Interstitial Cells of Cajal. Within these layers, the monodomain equation was used to describe slow wave propagation. To solve the monodomain equation, a high-resolution finite difference grid, with an average spatial resolution of 0.95 mm, was embedded within each finite element. The resulting simulations of intestinal activity agree with the experimental observation that slow wave frequency gradually declines from 12 cycles per minute (cpm) in the duodenum to 8 cpm at the terminal ileum. Furthermore, the simulations demonstrated a decrease in conduction velocity with distance along the small intestine (10.7 cm/s in the duodenum, 5.1cm/s in the jejunum and 1.4 cm/s in the ileum), matching experimental recordings from the canine small intestine. We conclude that the framework presented here is capable of qualitatively simulating normal slow wave activity in an anatomical model of the small intestine.     

Evoked potentials of the auditory cortex of the porpoise,Phocoena phocoena

Summary Evoked potential (EP) recordings in the auditory cortex of the porpoise,Phocoena phocoena, were used to obtain data characterizing the auditory perception of this dolphin. The frequency threshold curves showed that the lowest EP thresholds were within 120–130 kHz. An additional sensitivity peak was observed between 20 and 30 kHz. The minimal EP threshold to noise burst was 3·10^–4–10^/s-3 Pa. The threshold for response to modulations in sound intensity was below 0.5 dB and about 0.1% for frequency modulations. Special attention was paid to the dependence of the auditory cortex EP on the temporal parameters of the acoustic stimuli: sound burst duration, rise time, and repetition rate. The data indicate that the porpoise auditory cortex is adapted to detect ultrasonic, brief, fast rising, and closely spaced sounds like echolocating clicks.Abbreviation EP evoked potential     

Fast negative feedback enables mammalian auditory nerve fibers to encode a wide dynamic range of sound intensities

Mammalian auditory nerve fibers (ANF) are remarkable for being able to encode a 40 dB, or hundred fold, range of sound pressure levels into their firing rate. Most of the fibers are very sensitive and raise their quiescent spike rate by a small amount for a faint sound at auditory threshold. Then as the sound intensity is increased, they slowly increase their spike rate, with some fibers going up as high as ～300 Hz. In this way mammals are able to combine sensitivity and wide dynamic range. They are also able to discern sounds embedded within background noise. ANF receive efferent feedback, which suggests that the fibers are readjusted according to the background noise in order to maximize the information content of their auditory spike trains. Inner hair cells activate currents in the unmyelinated distal dendrites of ANF where sound intensity is rate-coded into action potentials. We model this spike generator compartment as an attenuator that employs fast negative feedback. Input current induces rapid and proportional leak currents. This way ANF are able to have a linear frequency to input current (f-I) curve that has a wide dynamic range. The ANF spike generator remains very sensitive to threshold currents, but efferent feedback is able to lower its gain in response to noise.