Name: analyzing neural activity and connectivity using intracranial eeg data with spm software
Uploaded: 2018-10-30T13:30:00
Description: Watch this Scientific Journal Video about Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software at JoVE.com

这项研究得到了倍乐生之公司, 日本促进科学协会 (jsp) 资助计划为下一代世界领先的研究人员 (LZ008), 促进神经发育紊乱研究组织的资金支持,和 jsp KAKENHI (15K04185; 18K03174)。

我们的研究得到了当地机构伦理委员会的批准。
1. 基本信息
注: 分析协议可应用于各种类型的数据, 不受特定参与者、电极、参考方法或电极位置的限制。在本例中, 我们测试了六名患有药理顽固性病灶癫痫的患者。我们测试了在感兴趣区域没有癫痫灶的患者。
<ol><li>在靶电极的认知实验中记录颅内脑电图数据。<ol>
<li>植入深度电极采用立体定向法<sup cl...

<ol>
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本文介绍的基于 SPM 软件的颅内脑电图数据分析规程与功能磁共振成像相比具有多种优点。首先, 这些协议可以在高时间分辨率下描述神经激活。因此, 研究结果表明, 神经激活的认知相关性是否在处理的早期或后期实现。在我们的示例中, 在视觉处理的早期阶段 (即110 ms) 中标识了面效果。此外, 与不同的心理功能相关的神经活动的时态剖面的比较提供了有趣的含义。特别是, 我们的例子揭示?...

在高空间和时间分辨率下测量与认知功能相关的神经活动和连接性是认知神经科学的主要目标之一。然而, 完成这个目标并不容易。一种常用的记录神经活动的方法是功能磁共振成像 (MRI)。虽然功能磁共振成像提供了一些优势, 如在毫米水平和非侵入性记录的高空间分辨率, 功能磁共振成像的一个明显的缺点是它的低时间分辨率。此外, 功能磁共振成像测量血氧水平依赖性信号, 这只是间接反映电神经活动。受欢迎的电生理方法, 包括脑电图 (eeg) 和脑磁图 (MEG), 在毫秒级有很高的时间分辨率。然而, 他们有相对较低的空间分辨率, 因为他们记录在头皮的电/磁信号, 必须解决困难的反问题, 以描绘大脑活动。
颅内脑电图可直接记录高时间 (毫秒) 和空间 (厘米) 分辨率1的电神经活动。这一措施可以为了解神经活动和连接提供有价值的机会, 尽管它有明确的局限性 (例如, 可测量区域仅限于临床标准)。一些颅内脑电图研究应用传统的平均分析来描述神经活动。虽然平均分析可以灵敏地检测锁定和低频波段激活, 但它无法检测到非锁相和/或高频 (例如伽玛波段) 激活。此外, 在颅内脑电图记录的文献中还没有深入分析功能性神经耦合。最近开发了几种新技术来描述功能磁共振成像和脑电图/MEG 记录中的神经活动和区域间连接, 可用于分析颅内脑电图数据。
在这里, 我们介绍了最近使用统计参数映射 (SPM) 软件分析颅内脑电图数据的分析协议。首先, 为了揭示何时, 以及在哪个频率, 大脑区域可以被激活, 我们执行时频 SPM 分析2。该分析利用连续小波变换同时分解时间和频域, 用随机场理论对时频映射中的族误差 (少数) 率进行了适当的校正。其次, 为了揭示大脑区域的沟通方式, 我们应用了诱发反应的动态因果模型 (DCM)4。DCM 支持对有效连通性的调查 (例如,大脑区域之间的因果和方向影响5)。尽管 dcm 最初被建议为分析功能性 MRI 数据5的工具, 但已将诱导反应的 dcm 扩展到电生理信号的时变功率谱分析4。此分析允许描述内部和区域间的神经连接。一些神经生理学研究表明, 局部区域内计算和远距离区域间通信主要使用伽玛和θ波段振荡, 它们的相互作用 (例如截留) 可以由θ-伽玛十字频率耦合3、6、7、8反射。本报告侧重于数据分析协议;如欲了解颅内脑电图的背景信息9、10和记录协议11 , 请参阅文献。

analyzing neural activity and connectivity using intracranial eeg data with spm software

在高空间和时间分辨率下测量与认知功能相关的神经活动和连通性是认知神经科学的一个重要目标。颅内脑电图 (EEG) 可以直接记录电神经活动, 并具有实现这一目标的独特潜力。传统上, 应用平均分析法分析颅内脑电图数据;然而, 有几种新的技术可以用来描述神经活动和区域间的连接。在这里, 我们引入了两个分析协议, 我们最近使用统计参数映射 (SPM) 软件分析颅内脑电图数据: 时间-频率 SPM 分析的神经活动和动态因果模型的诱发反应内部和区域间的连接。我们报告我们的颅内脑电图数据的分析在面部观察作为代表性的结果。结果表明, 下枕回 (内部监督组) 在早期阶段 (110 ms) 表现为对面部的伽玛波段活动, 内部监督组和杏仁核均使用各种类型的振荡表现出快速的内、区域间连通性。这些分析协议有可能识别具有高空间和时态轮廓的认知功能的神经机制。

使用本文提供的协议, 我们分析了颅内脑电图数据, 以响应面18,19。我们在被动查看面部、马赛克和房屋的直立和倒置方向上记录了六名患者的数据。直立面与直立马赛克 、直立面与直立房屋的对比揭示了脸部效应 (即相对于其他物体的面部特定的大脑活动)。直立面与倒置面的对比揭示了人脸反转效应 ...

Watch this Scientific Journal Video about Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software at JoVE.com

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

我们提出两种分析协议, 可用于分析颅内脑电图数据使用统计参数映射 (SPM) 软件: 时间-频率统计参数映射分析的神经活动, 和动态因果关系对内部和区域间连通性的诱导响应建模。

利用 SPM 软件分析颅内脑电图数据的神经活动和连接性

Measuring neural activity and connectivity associated with cognitive functions at high spatial and temporal resolutions is an important goal in cognitive ...

这种方法可以帮助回答认知神经科学领域的关键问题。该技术的主要优点是，它可以分析高空间时间演化的神经活动和连通性。要开始分析颅内 EEG 数据，请设置 SPM12 并选择 MEG EEG 分析菜单。首先，使用基于预定义参数的连续小波分解与 Morlet 小波，对每个试验的预处理颅内 EEG 数据执行时间频率分析。为了揭示光谱成分的时间演化，使用七周期莫莱特小波进行小波分解，整个周期为1000至2000毫秒，使用4至300赫兹的频率范围。接下来，确定母波和周期数，并注意周期数控制时频分辨率，并且应大于 5 以确保估计稳定性。确定时间和频率范围。然后自动裁剪生成的时间频率贴图以删除边缘效果。在这里，地图以 200 到 500 毫秒的间隔进行裁剪。如果需要，执行数据转换和基线校正，通过选择时间频率重新缩放的时间频率映射，以更好地可视化与事件相关的功率变化并提高正态性。接下来，将时间频率图转换为二维图像。也顺利地使用高斯内核与预定义的全宽半最大值，以补偿主体间的变异性，并符合随机场理论的假设。现在，选择在 SPM 菜单中指定第二级，然后输入要分析的 2D 图像。然后通过选择模型估计运行一般线性模型。最后，选择结果，对基于随机场理论的时间频率数据进行统计推理。使用预定义的阈值（如此处看到的阈值）检测显著激活的时间频率群集。通过在 SPM 菜单中选择 DCM 开始动态因果建模分析。然后选择 IND 选项并选择新数据以导入预处理的颅内 EEG 数据。接下来，使用 MEG EEG 菜单指定感兴趣的时间窗口、感兴趣的频率窗口、将使用的波子周期数、感兴趣的条件和条件的对比度。将时间窗口设置为 1 到 500 毫秒。在一个赫兹的步长中使用 4 到 100 赫兹的五周期莫莱特小波。使用小波循环的默认设置。根据研究兴趣确定时间频率范围。请注意，在计算过程中，可以自动使用具有额外 512 毫秒的时间窗口来删除边缘效果。基于DCM框架，定义表示神经状态感觉输入的驱动输入和体现神经状态之间基线连接的内在连接。此外，通过空模型和假设模型的实验操作，定义对内在连接的调节效应。将调制类型定义为线性或非线性。现在指定内在线性和非线性连接、驱动输入和调制输入。如有必要，修改相关参数的默认设置，如之前的刺激启动时间和持续时间。然后选择反转 DCM 以估计模型。之后，选择将结果保存为图像以保存频率调制耦合参数图像。接下来，通过选择 BMS 来确定最佳网络模型，进行随机效应贝叶斯模型选择分析。使用模型预期概率和加入概率作为评估指标。然后使用中标模型参数对调制连接的交叉频率模式进行推论。现在，通过选择转换为图像来平滑模态耦合参数图像。然后使用指定第二级执行一般线性模型分析。最后，选择结果以计算 2D SPMT 值。在这里，全宽半最大值设置为 8 赫兹，并使用 P 小于 0.05 的未校正高度阈值对显著值进行探索性识别。进行了时间频率分析，以调查在处理阶段期间劣质腹体陀螺或 IOG 活动的时间和频率特征。在这里，我们看到直立相位和直立马赛克条件正确的 IOG 活动的时间频率图。还显示了直立相位与直立镶嵌的 SPMT 数据。此处显示了功能网络模型。调查了直立相与直立马赛克在 IOG 和杏仁核连接上的八种可调制输入组合，以及每个区域的自连接。此处显示了 IOG 与杏仁核与杏仁核与杏仁核与 IOG 调制的频率-频率调制耦合参数和 SPMT 值。红黄区域表示显著的兴奋性连接，而蓝-青色区域表示抑制性连接性。观看此视频后，您应该对如何分析颅内 EEG 数据以使用 SPM 软件检测神经活动和连接性有一个良好的了解。

Research

JoVE Journal

Neuroscience

Functional Mapping with Simultaneous MEG and EEG

同时脑磁图和脑电图的功能映射

We use magnetoencephalography (MEG) and electroencephalography (EEG) to locate and determine the temporal evolution in brain areas involved in the ...

科研

神经科学

Establishing Intracranial Brain Tumor Xenografts With Subsequent Analysis of Tumor Growth and Response to Therapy using Bioluminescence Imaging

建立颅内脑肿瘤异种移植肿瘤的生长和对治疗的反应与后续利用生物发光成像分析

Transplantation models using human brain tumor cells have served an essential function in neuro-oncology research for many years. In the past, the most ...

High-density EEG Recordings of the Freely Moving Mice using Polyimide-based Microelectrode

高密度的自由移动，使用基于聚酰亚胺的微电极的小鼠的脑电图记录

Electroencephalogram (EEG) indicates the averaged electrical activity of the neuronal populations on a large-scale level. It is widely utilized as a ...

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

阈上的神经活动的单细胞和单穗的分辨率的光学的方法记录

Signaling of information in the vertebrate central nervous system is often carried by populations of neurons rather than individual neurons. Also ...

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

脑电图神经影像数据：事件相关电位，光谱功率，和多尺度熵的应用

When considering human neuroimaging data, an appreciation of signal variability represents a fundamental innovation in the way we think about brain ...

Optogenetic Perturbation of Neural Activity with Laser Illumination in Semi-intact Drosophila Larvae in Motion

Optogenetic Perturbation of Neural Activity with Laser Illumination in Semi-intact Drosophila Larvae in Motion

光遗传学的扰动激光照射半完好的神经活动<em&gt;果蝇</em&gt;幼虫运动

Drosophila larval locomotion is a splendid model system in developmental and physiological neuroscience, by virtue of the genetic accessibility of the ...

Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array

神经活动的传播的展开海马准备具有穿透微电极阵列

This protocol describes a method for preparing a new in vitro flat hippocampus preparation combined with a micro-machined array to map neural activity in ...

Extracellular Recording of Neuronal Activity Combined with Microiontophoretic Application of Neuroactive Substances in Awake Mice

神经元电活动外记录与神经活性物质在清醒小鼠微电泳应用相结合

Differences in the activity of neurotransmitters and neuromodulators, and consequently different neural responses, can be found between anesthetized and ...

Analyzing Synaptic Modulation of Drosophila melanogaster Photoreceptors after Exposure to Prolonged Light

Analyzing Synaptic Modulation of Drosophila melanogaster Photoreceptors after Exposure to Prolonged Light

分析突触调制<em&gt;果蝇</em&gt;曝光时间延长后，光光感受器

The nervous system has the remarkable ability to adapt and respond to various stimuli. This neural adjustment is largely achieved through plasticity at ...

Analyzing Dendritic Morphology in Columns and Layers

分析树突状形态的列和图层

In many regions of the central nervous systems, such as the fly optic lobes and the vertebrate cortex, synaptic circuits are organized in layers and ...