Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Christopher  B. O'Brien; Helen  A. Baghdoyan; Ralph Lydic

doi:10.3791/60333

JoVE Journal
Neuroscience

This content is Free Access.

JoVE Journal Neuroscience

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

基于计算机的多星仪电谱仪程脑电图数据

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04:13 min

November 13, 2019

DOI: 10.3791/60333-v

Christopher B. O'Brien¹, Helen A. Baghdoyan^1,2,3, Ralph Lydic^1,2,3

¹Department of Psychology,University of Tennessee, ²Department of Anesthesiology,University of Tennessee, ³Oak Ridge National Laboratory

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Overview

This protocol describes an open-source MATLAB program that generates multitaper spectrograms for analyzing electroencephalographic (EEG) data. It enables users to create customizable spectrograms without requiring prior knowledge of signal processing.

Key Study Components

Area of Science

Electrophysiology
Signal processing
Neuroscience

Background

Electroencephalography (EEG) is used to monitor brain activity.
Multitaper techniques enhance spectral analysis of EEG data.
Understanding the effects of various substances on EEG dynamics is crucial.
Common opiates show significant impacts on cortical EEG patterns.

Purpose of Study

To provide a user-friendly method for generating multitaper spectrograms.
To analyze the dynamic changes in EEG frequency and power.
To visualize the effects of different opiates on cortical EEG power.

Methods Used

The study employs a compiled MATLAB program for spectrogram computation.
The biological model involves chronic implantation of EEG and EMG electrodes in mice.
EEG data must be collected in millivolts approximately 7-10 days post-surgery.
Participants score EEG data using appropriate software to categorize sleep states.
Important files must be in EDF or CSV format for compatibility with the program.

Main Results

The program successfully visualizes EEG dynamics and compares effects of various opiates.
Notable spectral power changes were observed following morphine and buprenorphine administration.
EEG power levels were higher with saline treatment compared to buprenorphine in the 0.5 to 4 Hz frequency range.
Chronic electrode implantation facilitated long-term studies on substance effects.

Conclusions

This study demonstrates the utility of the MATLAB program for EEG data analysis.
The program’s open-source nature allows for broader accessibility in neuroscience research.
Insights gained may elucidate the impacts of opiates on brain activity, aiding in drug-related research.

Frequently Asked Questions

What are the advantages of using the MATLAB program?

The program is open source and user-friendly, requiring no prior signal processing knowledge, making it accessible for various research applications.

How is the EEG data collected?

EEG data is collected from mice with implanted electrodes, typically 7-10 days after surgery, recording signals in millivolts over the desired experimental period.

What type of data can be obtained using this method?

Users can obtain detailed spectrograms that illustrate EEG frequency and power dynamics, allowing for the study of the effects of substances on brain activity.

Can the method be adapted for different research needs?

Yes, the program allows customization of spectrogram parameters, enabling researchers to tailor the analysis to their specific experimental designs.

Are there any limitations to this protocol?

The main limitation is that it requires some familiarity with managing file formats and basic understanding of EEG data interpretation.

What type of scoring is done on the EEG data?

Each 10-second bin of the EEG data is independently scored for wakefulness, REM sleep, or non-REM sleep using specialized software.

该协议提供了一个开源的、编译的MATLAB程序，用于为脑电图数据生成多发图谱图。

该协议非常重要，因为它使用户能够在没有事先信号处理知识的情况下开发可定制的多分镜程频谱图。该程序的主要技术优势是程序的用户友好设计，以及使用没有 MATLAB 许可的计算机创建多数据谱谱的能力。电极植入手术后7至10天，配置数据采集系统以毫伏为单位记录所有信号，并获取所需实验持续时间的EEG记录。

使用适当的数据采集仪器和软件放大未经过滤的 EEG 信号并数字化。然后让两个不同的个体在适当的睡眠评分软件程序中，对数字 EEG、蓝色轨迹和 EMG、黑色轨迹、记录作为觉醒、REM 睡眠或非 REM 睡眠的每个 10 秒的 bin 进行独立评分。下载已编译的多塔谱谱计划。

对于频谱图计算，以 EDF 或 CSV 文件格式获取原始、未处理的 EEG 数据，然后将文件放在与编译的程序文件相同的位置，然后启动频谱图程序。按照弹出提示操作，然后选择适当的文件格式。输入整个 EEG 文件名，然后选择频谱图计算的参数。

输入光谱图和 EEG 的标题。然后，单击"文件"和"保存"以以所需的文件格式保存生成的光谱图和 EEG 跟踪。此图显示了在觉醒、非 REM 睡眠和 REM 睡眠期间皮质 EEG 的代表性相似性和差异。

此催眠图用于根据对 EEG 和 EMG 记录的评估绘制睡眠和觉醒状态的时间组织。与离散的催眠图相比，光谱图可用于说明 EEG 频率和功率作为时间函数的极动态变化，并突出显示唤醒和 REM 睡眠期间的皮质 EEG 信号之间的相似性。这些多分子光谱图在系统化盐水、吗啡、丁丙诺啡或芬太尼后，每组总结四个小时的脑电图记录。

此图显示了使用光谱图来可视化不同阿片剂对皮质脑电图功率的影响。盐水条件中的慢波活性被吗啡和丁丙诺啡消除。芬太尼管理后，可以观察到慢波增量功率。

光谱图所图所示的 EEG 变化可以进一步量化，并表示为每半频率的平均主导光谱功率。例如，如图所示，平均特定 EEG 频段内的光谱功率表明，在 0.5 至 4 赫兹的频率范围内，盐水处理的 EEG 功率比丁丙诺啡高得多。长期植入脑电图和EG电极的小鼠在几个月内保持健康，从而对药物-药物相互作用和慢性药物给药进行新的研究。

此外，这些技术可以为开发阿片剂引起的呼吸抑郁症的化学对策提供新的见解。