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在引发优先效应的条件下对“移动”的融合听觉图像进行追踪。

Tracking of a "moving" fused auditory image under conditions that elicit the precedence effect.

作者信息

Moore C A, Cranford J L, Rahn A E

机构信息

Wichita State University.

出版信息

J Speech Hear Res. 1990 Mar;33(1):141-8. doi: 10.1044/jshr.3301.141.

DOI:10.1044/jshr.3301.141
PMID:2314072
Abstract

Pursuit auditory tracking of a fused auditory image (FAI), based on stimulus conditions known to elicit the precedence effect phenomenon in sound localization, was investigated in 36 normal subjects and in a small group of subjects with known neuropathology. Movement of the FAI was simulated by incrementally varying the delay between two clicks presented, one each, from two loudspeakers placed on opposite sides of the listener. The group of normal listeners tracked the movement of the FAI without difficulty and with great accuracy; the perceived location of the FAI varied linearly with the interspeaker delay. The sensitivity of the task in detecting neural timing or integration deficits was investigated in 5 subjects with neuropathology, including subjects with unilateral temporal lobe lesions, multiple sclerosis, or dyslexia. These disorders, previously shown to disrupt neural timing, yielded characteristic patterns of tracking inaccuracy for this task. These subjects had no difficulty localizing either a moving unitary click source or sounds in daily life. These data support the suggestion that sound localization using stimulus conditions known to elicit the precedence effect places greater demands on neural timing and integration than conventional tests of localization, and may provide a more sensitive index of neural function.

摘要

基于已知能在声音定位中引发优先效应现象的刺激条件,对融合听觉图像(FAI)进行追踪听觉测试,该测试在36名正常受试者以及一小群已知患有神经病理学疾病的受试者中展开。通过逐步改变来自位于听众两侧的两个扬声器分别发出的两次点击之间的延迟,来模拟FAI的移动。正常听众组能够轻松且极为准确地追踪FAI的移动;FAI的感知位置随扬声器间延迟呈线性变化。在5名患有神经病理学疾病的受试者中研究了该任务在检测神经定时或整合缺陷方面的敏感性,这些受试者包括患有单侧颞叶病变、多发性硬化症或诵读困难症的患者。这些先前已被证明会扰乱神经定时的疾病,在该任务中产生了特征性的追踪不准确模式。这些受试者在日常生活中定位移动的单一点击声源或声音时没有困难。这些数据支持了这样的观点,即使用已知能引发优先效应的刺激条件进行声音定位,比传统的定位测试对神经定时和整合的要求更高,并且可能提供一个更敏感的神经功能指标。

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