A MICRO-ELECTRODE STUDY OF OXYGEN-BASED FUNCTIONAL CONNECTIVITY

基于氧的功能连接的微电极研究

基本信息

批准号：
8093092
负责人：
Lawrence H Snyder
金额：
$ 22.8万
依托单位：
WASHINGTON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2011
资助国家：
美国
起止时间：
2011-05-01 至 2013-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8093092
关键词：
Address Animals Architecture Area Attention Behavioral Brain Brain Injuries Brain region Clinical Cognition Disorders Cognitive Complex Conscious Cortical Column Coupling Data Development Diagnosis Disease Distant Dyslexia Electrodes Electrophysiology (science)Environment Etiology Eye Movements Frequencies Functional Magnetic Resonance Imaging Functional disorder Funding Grant Health Human Individual Differences Investigation Joints Laboratories Link Location Macaca Magnetic Resonance Imaging Measures Mental Depression Methodology Methods Microelectrodes Monkeys Neurons Neurosciences Nuclear Physics Oxygen Parietal Pathway Analysis Pattern Performance Platinum Polarography Process Prosopagnosia Publishing Research Resolution Rest Sampling Signal Transduction Stroke Structure Techniques Testing Time Tissues Universities Visual Fields Washington Work base blood oxygen level dependent cognitive neuroscience deoxyhemoglobin fascinate hemodynamics improved innovation insight nervous system disorder nonhuman primate novel strategies operation relating to nervous system research study

项目摘要

DESCRIPTION (provided by applicant): Resting state networks are a fascinating yet poorly understood new phenomenon in human cognitive neuroscience. Sets of spatially separated regions show correlated slow fluctuations in fMRI BOLD signals even when the subject is at rest. These networks appear to be important in normal brain function: aspects of behavioral performance can be predicted by the ongoing level of slow correlated BOLD fluctuations; brain injuries perturb resting state networks; and multiple clinical disorders, including depression, dyslexia and prosopagnosia, are associated with specific resting state network abnormalities. Currently, resting state data are used to infer functional connections between regions, but little is known about causality, spatial and temporal scale, or the underlying neural substrate of the correlations. A deeper understanding of slow fluctuations and resting state networks has enormous potential for understanding normal and disordered cognition. We seek to better understand the origin and significance of correlated fluctuations by characterizing them at high spatial and temporal frequencies and identifying the electrophysiological signals that are associated with them. The significance of this work is that we will be able to make better use of the fMRI information already being collected, improve diagnosis and perhaps reveal the etiology of several neurological disorders, possibly discover previously unsuspected modes of brain operation, and generally obtain new insight into cognitive processing. Innovation & approach: To obtain these data we propose to use a classical technique, oxygen polarography, in a new way. Guided by resting state fMRI scans, we will insert multiple platinum microelectrodes into a macaque brain in order to verify and characterize correlated fluctuations in oxygen concentration. We will then record simultaneous electrophysiological signals from the same or adjacent electrodes and ask what portion of the electrophysiological spectrum (slow cortical potentials, local field potentials, multi-unit activity) is associated with correlated (resting state network) oxygen fluctuations. This is a new approach to this issue, and we have the required expertise in monkey electrophysiology (L. Snyder, A. Snyder), human fMRI (M. Raichle, A. Snyder), human resting state network analysis (M. Raichle, A. Snyder) and monkey fMRI (L. Snyder, M. Raichle, A. Snyder) to be successful. We have already worked together to establish anatomical and functional monkey fMRI at Washington University, and together we have published data showing resting state networks in the monkey that closely resemble those in humans. PUBLIC HEALTH RELEVANCE: A new methodology, functional connectivity MRI (fcMRI), has recently been applied to diagnose and understand the etiology of a range of diseases and disorders. FcMRI looks at long-distance correlations in brain oxygen to draw inferences about the fundamental structure of the brain and pathological disturbances in that structure. The technique holds great clinical promise, but we currently have very little understanding of why these long-distance correlations exist or what they mean. This grant will provide new information about the origin and interpretation of these correlations, which in turn will greatly increase the amount of clinical information we can extract from the method. In particular, it will improve the diagnosis and understanding of the etiology of the conditions in which it is being currently applied, which include stroke, prosopagnosia and dyslexia.

描述（由申请人提供）：静止状态网络在人类认知神经科学中是一个有趣但知之甚少的新现象。一组空间分离的区域显示，即使受试者处于静止状态，fMRI BOLD信号中的慢速波动相关。这些网络在正常的大脑功能中似乎很重要：行为性能的各个方面可以通过持续的缓慢相关的大胆波动来预测；脑损伤静止状态网络；以及包括抑郁症，阅读障碍和prosopagnosia在内的多种临床疾病与特定的静息状态网络异常有关。当前，静止状态数据用于推断区域之间的功能连接，但对因果关系，空间和时间尺度或相关性的基础神经基板知之甚少。对缓慢波动和静止状态网络的更深入了解具有理解正常和无序认知的巨大潜力。我们寻求通过在高空间和时间频率上表征相关波动的起源和意义，并确定与之相关的电生理信号。这项工作的意义在于，我们将能够更好地利用已经收集的fMRI信息，改善诊断，并可能揭示了几种神经系统疾病的病因，可能会发现以前未经引起的大脑操作模式，并且通常可以获得对认知处理的新洞察力。创新与方法：为了获得这些数据，我们建议以新的方式使用经典技术，氧光照学。在静止状态fMRI扫描的指导下，我们将插入多个铂微电极中的猕猴大脑，以验证和表征氧气浓度的相关波动。然后，我们将记录来自相同或相邻电极的同时电生理信号，并询问电生理光谱的哪些部分（缓慢的皮质电位，局部场电位，多单元活性）与相关（静止状态网络）的氧气波动有关。这是解决此问题的一种新方法，我们拥有猴子电生理学（L. Snyder，A。Snyder），人fMRI（M. Raichle，A。A. Snyder），Human Resting State网络分析（M. Raichle，A。A. Snyder）和Monkey FMRI（L. Snyder，M。Raichle，A。Snyder），取得成功。我们已经共同努力，在华盛顿大学建立了解剖学和功能性的猴子fMRI，我们共同发布了数据，显示了猴子中静止状态网络与人类密切相似的数据。公共卫生相关性：一种新方法，功能连接MRI（FCMRI），最近已应用于诊断和了解各种疾病和疾病的病因。 FCMRI着眼于脑氧中的长距离相关性，以提出有关该结构中大脑基本结构和病理干扰的推断。该技术具有巨大的临床希望，但是我们目前对为什么存在这些长距离相关性或它们的含义几乎没有理解。该赠款将提供有关这些相关性的起源和解释的新信息，这反过来将大大增加我们可以从该方法中提取的临床信息的数量。特别是，它将改善对当前应用条件的病因的诊断和理解，其中包括中风，prosopagnosia和阅读障碍。