Spike Analysis of the Neural Activities Across the Rats' Auditory Brain Structures

Alexis Meeker, Jensen Van Gampelaere, Linda Zhu, Hao Luo, Jinsheng Zhang
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Abstract

Tinnitus is a health condition that affects a large population. Clinical diagnosis and treatment have been developed for treating tinnitus for years. However, there are still limitations because researchers have yet to elucidate the mechanisms underlying how tinnitus neural signals develop in the brain structures. Abnormal neural interactions among the brain areas are considered to play an important role in tinnitus generation. Researchers have been studying neural activities in the auditory brain structures, including the dorsal cochlear nucleus (DCN), inferior colliculus (IC), and auditory cortex (AC), to seek a better understanding of the information flow among these brain regions, especially in comparison with both health and tinnitus conditions. In this project, neural activities from the DCN, IC, and AC, were collected and analyzed before and after the animals were noise-exposed and before and after their auditory cortices were electrically stimulated. These conditions in rats were used to estimate healthy animals, noise-trauma-induced tinnitus, and after auditory cortex electrical stimulation (ACES) treatment. The signal processing algorithms started with the raw measurement data and focused on the local field potentials (LFPs) and spikes in the time domain. The firing rate, shape of spikes, and time differences among channels were analyzed in the time domain, and phase-phase correlation was used to test the phase-frequency information. All the analysis results were summarized in plots and color-heat maps and also used to identify if any neural signal differs and cross-channel relations changes at various animal conditions and discussed.
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对大鼠听觉大脑结构神经活动的尖峰分析
耳鸣是一种影响大量人群的健康问题。多年来,治疗耳鸣的临床诊断和治疗方法不断发展。然而,由于研究人员尚未阐明耳鸣神经信号如何在大脑结构中形成的内在机制,因此仍然存在局限性。脑区之间异常的神经交互作用被认为是耳鸣产生的重要原因。研究人员一直在研究听觉大脑结构中的神经活动,包括耳蜗背核(DCN)、下丘(IC)和听觉皮层(AC),以寻求更好地了解这些脑区之间的信息流,特别是与健康和耳鸣情况的比较。在该项目中,我们收集并分析了大鼠在暴露于噪声前后以及听觉皮层受到电刺激前后的直流神经网、集成电路和听觉皮层的神经活动。大鼠的这些情况被用来估计健康动物、噪声-创伤诱发的耳鸣以及听觉皮层电刺激(ACES)治疗后的情况。信号处理算法从原始测量数据开始,重点关注时域中的局部场电位(LFP)和尖峰。在时域中分析了尖峰的发射率、形状和通道间的时间差,并使用相位相关性测试了相频信息。所有分析结果都以图谱和彩色热图的形式进行了总结,同时还用于确定在不同动物条件下是否存在神经信号差异和跨通道关系变化,并进行了讨论。
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