Neural basis of local and circuit-level spontaneous and task-evoked hemodynamic brain activity

局部和回路水平自发和任务诱发的血流动力学脑活动的神经基础

• 批准号: 9268082
• 负责人: AVNIEL S GHUMAN
• 金额: $ 19.25万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-01 至 2018-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9268082
• 关键词: Alzheimer' s Disease; Behavioral; Biological; Biomechanics; Biophysics; Blood Vessels; Brain; Brain Diseases; Communication; Coupling; Data; Disease; Electroencephalography; Electrophysiology (science); Epilepsy; Event; Frequencies; Functional Magnetic Resonance Imaging; Goals; Human; Image; Magnetoencephalography; Maps; Measurement; Measures; Mental Depression; Mental disorders; Near-Infrared Spectroscopy; Pathologic; Pathology; Pattern; Physiological; Population; Property; Public Health; Research; Resolution; Rest; Schizophrenia; Signal Transduction; Time; Variant; Work; autism spectrum disorder; base; brain abnormalities; expectation; hemodynamics; innovation; multimodality; nervous system disorder; neural correlate; neuroimaging; neurovascular coupling; programs; public health relevance; relating to nervous system; response; somatosensory; spatiotemporal; temporal measurement; tool

 DESCRIPTION (provided by applicant) Understanding how neural regions interact, both during behavioral tasks and spontaneously (e.g. at "rest"), is critical for studying healthy and disordered brain networks. Many studies have measured hemodynamic brain activity (fMRI), but the neural basis of hemodynamic functional connectivity remains unclear. For spontaneous functional connectivity in particular, hemodynamic measures of functional connectivity are in a low frequency (< 0.1 Hz) range while the corresponding networks found by electrophysiological measures show distinct frequency selectivity at a much faster time scale (>1 Hz). A critical conundrum for understanding spontaneous functional connectivity is: do these slow hemodynamic fluctuations arise simply as the result of the non- specific temporal smoothing that results from the slow biomechanical response of blood vessels (e.g. the hemodynamic impulse response function) or do these slow hemodynamic oscillations reflect frequency-specific neural oscillations (e.g. specific neural sub-types) or specifically low frequency neural events? Furthermore, do these spontaneous neural-vascular relationships arise from the same mechanisms as evoked brain activity or do these involve a different subset of neural interactions? Previous studies have been limited by inferring the neural underpinning of hemodynamic functional connectivity based on general spatial overlap of circuits, only examining temporal correspondence between measures, or being unable to examine the neural response across distributed circuits. We will use the approach of simultaneous multimodal recordings of electrophysiological and hemodynamic fluctuations via concurrent magnetoencephalography (MEG) and functional near infrared spectroscopy (fNIRS). In conjunction with concurrent fNIRS/fMRI/EEG, this innovative multimodal approach affords a unique opportunity to simultaneously record and co-localize neural and hemodynamic activity during interregional communication in the human brain, overcoming many limitations of previous studies. The objective in this application is to describe the correspondence between the neural and hemodynamic signals during both spontaneous and evoked tasks in two important brain networks, a circuit in the somatomotor network and one in the frontoparietal network. We propose the following two specific aims: 1. Define the regional relationship between the hemodynamic activity and the spectral properties of spontaneous and evoked electrophysiological activity. 2. Define the spatiotemporal circuit-level relationship between spontaneous and evoked hemodynamic and electrophysiological activity. The significance of this work is that its successful completion will provide a direct connection between the neural and hemodynamic underpinnings of two critical brain circuit phenomena: spontaneous brain activity and interregional communication. Determining the electrophysiological underpinnings of the brain's hemodynamic functional organization is a key step in understanding the biological basis and interpretation of hemodynamic measures of functional connectivity.

 理解神经区域如何在行为任务期间和自发地（例如，在“休息”时）相互作用，对于研究健康和紊乱的大脑网络是至关重要的。许多研究已经测量了血流动力学脑活动（fMRI），但血流动力学功能连接的神经基础仍然不清楚。特别是对于自发功能连接，功能连接的血液动力学测量在低频（< 0.1 Hz）范围内，而通过电生理测量发现的相应网络在快得多的时间尺度（>1 Hz）下显示出明显的频率选择性。理解自发功能连接的一个关键难题是：这些缓慢的血液动力学波动是否仅仅是由于血管缓慢的生物力学反应引起的非特异性时间平滑的结果（例如，血液动力学脉冲响应函数）或这些缓慢的血液动力学振荡反映频率特异性神经振荡（例如，特定的神经亚型）或特定的低频神经事件？此外，这些自发的神经-血管关系是否与诱发的大脑活动来自相同的机制，或者它们是否涉及不同的神经相互作用子集？以前的研究受到限制，推断神经基础的血液动力学功能连接的基础上一般的空间重叠的电路，只检查时间之间的对应措施，或无法检查跨分布式电路的神经反应。我们将使用的方法，通过并发脑磁图（MEG）和功能近红外光谱（fNIRS）的电生理和血流动力学波动的同时多模式记录。结合并发fNIRS/fMRI/EEG，这种创新的多模式方法提供了一个独特的机会，同时记录和共同定位的神经和血液动力学活动在人类大脑区域间通信，克服了许多限制以前的研究。在这个应用程序的目的是描述在两个重要的脑网络，在躯体运动网络和一个在额顶叶网络的电路的自发和诱发任务的神经和血液动力学信号之间的对应关系。我们提出以下两个具体目标：1。定义血流动力学活动与自发和诱发电生理活动的频谱特性之间的区域关系。2.定义自发和诱发血流动力学和电生理活动之间的时空回路水平关系。这项工作的意义在于，它的成功完成将提供两个关键脑回路现象的神经和血液动力学基础之间的直接联系：自发脑活动和区域间通信。确定脑血流动力学功能组织的电生理基础是理解功能连接的血流动力学测量的生物学基础和解释的关键步骤。