Multi-level exploration of oscillatory brain networks: from neuronal mechanisms to cognition

振荡脑网络的多层次探索：从神经机制到认知

• 批准号: RGPIN-2015-04854
• 负责人: Jerbi, Karim
• 金额: $ 2.04万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=654609
• 关键词: Multi; level; exploration; oscillatory; brain

Introduction: Despite the recent surge in studies attempting to understand brain network dynamics, the precise mechanisms that underlie local processing and communication between distant brain areas are still poorly understood. A large body of evidence suggests that frequency-specific brain rhythms (i.e. neuronal oscillations) alongside broadband activities play a key role in local and long-range neuronal synchronization. However, our understanding of the mechanisms at play is impeded by the fact that our knowledge of how our brain encodes and processes information is fragmented because the available neurobiological data stem from studies that address the brain at very different spatial and temporal observation scales.******Goal: The goal of this research proposal is to advance our understanding of oscillatory brain dynamics by addressing two central and closely related questions: (A) What is the relationship between large-scale network-level neuronal oscillations, local rhythmic population activity and neuronal firing (Systems Neuroscience axis) and (B) How are these various multi-level neuronal signatures differentially related to cognition and behaviour (Cognitive Neuroscience axis). ******Methodology: The Systems Neuroscience part of the proposal combines invasive and non-invasive electrophysiological measurements in humans (MEG, intracranial EEG and microelectrode recordings in implanted human patients). This multi-scale approach will provide an extremely rare opportunity to probe in humans the mechanistic relationship between neuronal firing (multi-unit activity, MUA), population activity (local field potentials, LFPs) and surface-level neuromagnetic signals. In parallel, the research planned for the Cognitive Neuroscience part will seek to determine whether and to which extent these neuronal markers differentially mediate (or are modulated by) behaviour and cognitive processes. To this end, we will examine spontaneous brain activity (resting state data) as well as data acquired in task-based cognitive experiments (e.g. goal-directed behaviour, decision making and emotion processing tasks). ******Novelty and expected impact: A hallmark of this proposal is the combination of multi-disciplinary methods and multi-scale invasive and non-invasive brain measurements, including rare access to single-unit micro-recordings in humans. The proposed research lies therefore at the crossroads of systems neuroscience, neuroimaging, neuro-engineering, electrophysiology and cognitive neuroscience. The ability to link the findings of brain research across multiple spatial scales carries the potential to reveal basic governing principles in local and large-scale brain functional architecture and thereby enhance our understanding of the role of network brain dynamics in cognition and eventually its breakdown in disease. **

前言：尽管最近试图了解大脑网络动力学的研究激增，但对远程大脑区域之间的局部处理和通信的确切机制仍知之甚少。大量证据表明，频率特定的大脑节律(即神经元振荡)与宽带活动一起在局部和远程神经元同步中发挥关键作用。然而，我们对大脑如何编码和处理信息的了解受到以下事实的阻碍：我们对大脑如何编码和处理信息的知识是零散的，因为可用的神经生物学数据来自于在非常不同的空间和时间观察尺度上处理大脑的研究。*目标：这项研究提案的目标是通过解决两个中心和密切相关的问题来促进我们对脑振荡动力学的理解：(A)大规模网络水平神经元振荡之间的关系是什么，局部有节奏的群体活动和神经元放电(系统神经科学轴)和(B)这些不同的多水平神经元特征与认知和行为有何不同关系(认知神经科学轴)。*方法论：提案中的系统神经科学部分结合了对人类的侵入性和非侵入性电生理测量(脑磁图、植入人体患者的脑电信号和微电极记录)。这种多尺度的方法将提供一个极其难得的机会来探索人类神经元放电(多单位活动，MUA)、群体活动(局部场电位，LFP)和表面神经磁信号之间的机制关系。同时，为认知神经科学部分计划的研究将寻求确定这些神经元标记物是否以及在多大程度上不同地调节(或受)行为和认知过程的调节。为此，我们将检查自发的大脑活动(休息状态数据)以及在基于任务的认知实验中获得的数据(例如，目标定向行为、决策和情绪处理任务)。*新颖性和预期影响：这项提议的一个特点是结合了多学科方法和多尺度侵入性和非侵入性大脑测量，包括罕见地获得人类单个单位的微型记录。因此，这项拟议的研究处于系统神经科学、神经成像、神经工程、电生理学和认知神经科学的十字路口。将多个空间尺度上的大脑研究结果联系起来的能力，有可能揭示局部和大规模大脑功能结构的基本支配原则，从而增强我们对网络大脑动力学在认知中的作用以及最终在疾病中的崩溃的理解。**