Application of Neural Network Modeling to Identify Auditory Processing Disorders in School-Age Children

S. Krishnamurti
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引用次数: 3

Abstract

P300 Auditory Event-Related Potentials (P3AERPs) were recorded in nine school-age children with auditory processing disorders and nine age- and gender-matched controls in response to tone burst stimuli presented at varying rates (1/second or 3/second) under varying levels of competing noise (0 dB, 40 dB, or 60 dB SPL). Neural network modeling results indicated that speed of information processing and task-related demands significantly influenced P3AERP latency in children with auditory processing disorders. Competing noise and rapid stimulus rates influenced P3AERP amplitude in both groups.
应用神经网络模型识别学龄儿童听觉加工障碍
我们记录了9名有听觉处理障碍的学龄儿童和9名年龄和性别匹配的对照组在不同水平的竞争噪声(0 dB、40 dB或60 dB SPL)下,以不同速率(1/秒或3/秒)呈现的音调爆发刺激的P300听觉事件相关电位(p3aerp)。神经网络建模结果表明,信息加工速度和任务相关需求显著影响听觉加工障碍儿童的P3AERP潜伏期。竞争噪声和快速刺激速率影响两组的P3AERP振幅。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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