Understanding the neurocognitive mechanisms of alpha-band brain oscillations using concurrent EEG-fMRI recordings

使用并发 EEG-fMRI 记录了解 α 波段脑振荡的神经认知机制

• 批准号: 10528685
• 负责人: Agatha Lenartowicz
• 金额: $ 47.96万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-19 至 2027-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10528685
• 关键词: Accounting; Address; Architecture; Attention; Attention deficit hyperactivity disorder; Attentional deficit; Biological Markers; Brain; Cytology; Data; Disease; Electroencephalography; Experimental Models; Functional Magnetic Resonance Imaging; Goals; Human; Measures; Methods; Modality; Modeling; Monitor; Neurocognitive; Occipital lobe; Parietal Lobe; Participant; Perception; Reporting; Research; Role; Scanning; Short-Term Memory; Signal Transduction; Sleep; System; Technology; Testing; Visual; Visual Cortex; Work; alertness; base; candidate marker; causal model; electrical potential; experimental study; functional magnetic resonance imaging/electroencephalography; innovation; memory process; neurotransmission; relating to nervous system; selective attention; visual processing

PROJECT SUMMARY Alpha oscillations, 8-12Hz fluctuations in neural signals, are robust across species, covary with states of attention, and are impacted in multiple disorder states, and in recent years have become a candidate biomarker of attention system efficacy, particularly in disorders of attention such as attention deficit hyperactivity disorder (ADHD). Yet, despite this broad acceptance of alpha oscillations as an attention read-out signal, significant questions remain regarding the mechanisms and thus interpretation of alpha oscillations. The goal of our research is to answer the central question of whether the neurocognitive mechanisms of alpha oscillations are strictly attentional or whether they more closely reflect other mechanisms such as local processing dynamics or system-wide tonic alertness. To address this question, we will record EEG and fMRI concurrently in human participants, and employ causal models, to identify functional connectivity (3T scanning) and laminar activation (7T scanning) of visual cortex during alpha modulations across different task contexts. We aim to test (1) if alpha increases reflect cortical suppression or tonic alertness, (2) if alpha decreases reflect cortical enhancement or local information flow, and, (3) if alpha modulations reflect top-down signals or if they are a passive by-product of either cortico-cortical or thalamo-cortical drivers. The results will directly impact interpretation of alpha oscillations as a biomarker of attention-system efficacy in ADHD and related conditions, outlining a model that can be targeted in treatment or monitoring of attention deficits in ADHD. By accounting for variability in existing findings, this work will also differentiate between two theoretical frameworks of alpha oscillations and speak to recent debates on whether alpha oscillations are a correlate or a product of top-down signals.

项目摘要 α振荡，神经信号中的8-12Hz波动，在各种物种之间都有坚固 注意并受到多种疾病状态的影响，近年来已成为候选生物标志物 注意系统功效，特别是在注意力缺陷多动障碍等注意力障碍中 （多动症）。然而，尽管对α振荡作为注意力读出信号的广泛接受，但显着 关于机制的问题以及α振荡的解释。我们的目标 研究是为了回答α振荡的神经认知机制的核心问题 严格的注意力或它们是否更紧密地反映其他机制，例如本地处理动态或 系统范围的补品警觉性。 为了解决这个问题，我们将在人类参与者中同时记录脑电图和fMRI，并采用因果关系 模型，以识别视觉皮层的功能连通性（3T扫描）和层流激活（7T扫描） 在不同任务上下文的Alpha调制过程中。我们的目标是测试（1）如果α增加反映皮质 抑制或补品警觉性，（2）如果α降低反映皮质增强或局部信息 流动，（3）如果α调制反映自上而下的信号，或者它们是一个被动的副产品 皮质皮质或丘脑皮层驱动器。结果将直接影响对α振荡的解释 注意力ADHD和相关条件中注意系统功效的生物标志物，概述了一个可以针对的模型 ADHD中注意力缺陷的治疗或监测。通过考虑现有发现的可变性，这项工作 还将区分α振荡的两个理论框架，并谈到最近的辩论 α振荡是相关的还是自上而下的信号。