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

Spike Analysis of the Neural Activities Across the Rats' Auditory Brain Structures.
复制标题

大鼠听觉脑结构神经活动的尖峰分析。

DOI:
10.1115/1.4064652
复制
发表时间:
2024
期刊:
Journal of engineering and science in medical diagnostics and therapy
影响因子:
--
通讯作者:
Zhang,Jinsheng
Zhang,Jinsheng
中科院分区:
--
文献类型:
--
作者:
Meeker,Alexis;VanGampelaere,Jensen;Zhu,Linda;Luo,Hao;Zhang,Jinsheng

文献摘要

相似文献

耳鸣是一种影响大量人口的健康状况。耳鸣的临床诊断和治疗已经发展了多年。然而,仍然存在局限性,因为研究人员尚未阐明耳鸣神经信号在大脑结构中如何发展的机制。耳鸣的发生与耳鸣的发病有密切关系,耳鸣的发生与耳鸣的发病有密切关系。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大脑区域之间的信息流,特别是与健康和耳鸣状况相比。本研究收集并分析了噪声暴露前后和电刺激动物听皮层前后DCN、IC和AC的神经活动。这些条件在大鼠被用来估计健康动物,噪声创伤引起的耳鸣,并在听觉皮层电刺激(ACES)治疗。信号处理算法从原始测量数据开始,并专注于时域中的局部场电位(LFP)和尖峰。在时域上分析了放电频率、尖峰形状和通道间的时间差,并利用相位-相位相关性检验了相位-频率信息。所有的分析结果都总结在图和颜色热图中,并用于识别在各种动物条件下是否有任何神经信号不同和跨通道关系变化,并进行讨论。
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 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 relation changes at various animal conditions and discussed.