Advanced neuroimaging of arousal-state transition network dynamics in the human brain

人脑唤醒状态转换网络动力学的高级神经成像

• 批准号: 10712209
• 负责人: Beverly Setzer
• 金额: $ 3.89万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-20 至 2024-09-19
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10712209
• 关键词: Address; Aging; Alzheimer' s Disease; Animals; Arousal; Arousal and Regulatory Systems; Basal Ganglia; Behavior; Behavioral; Brain; Brain Stem; Brain region; Cell Nucleus; Cognitive; Complex; Data; Data Analyses; Disease; Electroencephalography; Electrophysiology (science); Foundations; Functional Magnetic Resonance Imaging; Functional disorder; Future; Goals; Human; Image; Imaging Techniques; Individual; Joints; Knowledge; Link; Measures; Mental Depression; Mental disorders; Methods; Neuroanatomy; Neurologic; Pattern; Resolution; Role; Sampling; Scalp structure; Schizophrenia; Sleep; Sleep disturbances; Structure; Techniques; Testing; Thalamic Nuclei; Thalamic structure; Time; Training; Wakefulness; Work; basal forebrain; base; behavioral response; cognitive function; data acquisition; dynamic system; encephalography; human imaging; imaging study; innovation; interest; locus ceruleus structure; multimodal data; multimodality; nervous system disorder; neural; neural circuit; neuroimaging; neuropsychiatric disorder; novel; skills; spatiotemporal; temporal measurement

PROJECT SUMMARY Arousal regulatory systems are disrupted in a wide range of psychiatric and neurological disorders, yet we know surprisingly little about the fundamental brain network mechanisms underlying transitions between the sleep and wake arousal-states. Invasive animal studies have demonstrated the causal role of several deep-brain regions including nuclei of the brainstem and thalamus in arousal from sleep, and recently, human functional magnetic resonance imaging (fMRI) studies of arousal implicated such deep-brain regions as key contributors. While we know shifts in brain rhythms, connectivity, and behavior accompany arousal-state transitions, how brain-wide dynamics unfold across such key regions during this state-change remains unknown. Previous studies have been limited by the spatiotemporal resolution necessary to capture whole-brain network dynamics occurring at arousal. Invasive studies are limited by the number of regions they can record from simultaneously, and traditional non-invasive methods lack the temporal resolution necessary to capture the fast dynamics occurring at arousal. Our novel method will use encephalography (EEG) and behavioral response to detect arousal-state changes combined with simultaneous fast fMRI (sample rate < 1 s) at 7 Tesla to measure deep- brain activity in nuclei of the brainstem, individual nuclei of the thalamus, basal ganglia regions, and cortical regions during human arousal from sleep. Preliminary data suggests that this fMRI acquisition method can detect significant temporal differences in activity signatures between regions of interest. We hypothesize that activation of the brainstem’s locus coeruleus, followed by a distinct activation sequence across thalamic nuclei and the basal forebrain, will precede arousal, and deactivation of cortical regions will follow. We aim to build a fundamental understanding of the basic network mechanisms supporting arousal-state transitions in humans that will be necessary to ultimately understand how arousal regulatory system dynamics are altered in disorders. Delineating such temporal network dynamics using fMRI will provide a more precise understanding of how the brain switches between cognitive states by allowing us to link activity across dozens of subcortical nuclei simultaneously. Identifying these network mechanisms in humans will also provide the opportunity for future studies to identify fine-scale differences in neuropsychiatric disorders that was not previously possible.

项目摘要 唤醒的调节系统在多种精神病和神经系统疾病中被破坏 我们对脑网络网络网络机制的基本机制几乎不知道 睡觉并唤醒唤醒状态。侵入性动物研究表明，几个深脑的因果作用 脑干的核和丘脑包括睡眠中的核核和丘脑，最近的人类功能 对唤醒的磁共振成像（fMRI）研究实施了这样的深脑区域，例如关键贡献者。 尽管我们知道大脑节奏，连通性和行为的转变涉及唤醒状态的转变，但如何 在这种状态变化期间，这类关键区域之间的脑部动力学仍然未知。以前的 研究受到捕获全脑网络动态所需的时空分辨率的限制 发生在唤醒。侵入性研究受到他们可以简单地记录的区域数量的限制， 传统的非侵入性方法缺乏捕获快速动态所需的临时解决方案 发生在唤醒。我们的新方法将使用脑电图（EEG）和行为反应来检测 唤醒状态变化与7泰斯拉的简单快速fMRI（样本率<1 s）结合在一起，以测量深度 脑干核中的大脑活性，丘脑的单个核，巴萨神经节区域和皮质 人类唤醒中的区域来自睡眠。初步数据表明，这种fMRI获取方法可以检测到 感兴趣区域之间的活动特征的暂时暂时差异。我们假设激活 脑干的基因座层，然后在丘脑核和 基础前脑将在唤醒之前，并随后将皮质区域停用。我们旨在建立一个 对支持人类唤醒状态过渡的基本网络机制的基本理解 这是最终了解唤醒调节系统动态如何改变疾病的必要条件。 使用fMRI划定这种临时网络动态将提供更精确的了解 通过允许我们连接数十个皮层核的活性，在认知状态之间进行大脑转换 在人类中识别这些网络机制也将为未来提供机会 研究以确定以前无法实现的神经精神疾病的精细差异。