Optimizing noninvasive modulation of prediction and episodic memory networks via cerebellar stimulation

通过小脑刺激优化预测和情景记忆网络的无创调节

• 批准号: 10414572
• 负责人: Shruti Dave
• 金额: $ 3.17万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-17 至 2022-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10414572
• 关键词: Adult; Affect; Anatomy; Area; Behavior; Behavioral Assay; Beta Rhythm; Brain; Brain region; Cerebellar vermis structure; Cerebellum; Characteristics; Cognition; Data; Electroencephalography; Episodic memory; Evaluation; Eye Movements; Frequencies; Functional Magnetic Resonance Imaging; Functional disorder; Goals; Impairment; Laboratories; Lateral; Link; Measures; Memory; Mental disorders; Methods; Neurosciences; Parietal; Parietal Lobe; Pattern; Periodicity; Procedures; Property; Research; Research Training; Rest; Spatial Distribution; Testing; Theta Rhythm; base; cognitive function; executive function; experimental study; functional magnetic resonance imaging/electroencephalography; nervous system disorder; neuroimaging; neuroregulation; noninvasive brain stimulation; outcome prediction; repetitive transcranial magnetic stimulation; spatiotemporal; standard measure; support network; visual tracking

PROJECT SUMMARY/ABSTRACT The lateral cerebellum (Crus I/II) interacts with two dissociable large-scale brain networks — the executive control (ECN) and default mode networks (DMN), which support distinct cognitive functions (e.g., prediction versus episodic memory, respectively). The proposed research aims to identify noninvasive brain stimulation parameters that cause this area of the cerebellum to interact more heavily with either network, thereby biasing lateral cerebellar participation in network-specific cognitive functions critical to adult humans. Because the ECN and DMN have been shown to generate different endogenous rhythms of brain activity, the approach of the proposed project is to vary the rhythms at which repetitive transcranial magnetic stimulation (rTMS) is delivered. We hypothesize that matching rhythmic stimulation to network-specific endogenous activity will bias the lateral cerebellum to interact with the network having the corresponding intrinsic frequency. Resting-state fMRI and EEG will be used to assess network-level consequences of manipulating stimulation rhythm. We further aim to determine how stimulation-modulated brain activity influences network-related cognitive function. We hypothesize that changes in the ECN will correspond to changes in prediction-related behavior and brain activity, whereas changes in the DMN will correspond to changes in episodic memory behavior and brain activity. This research and training plan will thus merge noninvasive stimulation methods with resting-state and task-based fMRI and EEG measures of brain and cognitive function. The proposed studies will provide an experimental test of network-specific neuromodulation via a shared cerebellar hub, which could motivate procedures to enhance specific cognitive functions through noninvasive brain stimulation.

项目摘要/摘要 外侧小脑(CRU I/II)与两个分离的大规模大脑网络--执行者--相互作用 控制(ECN)和默认模式网络(DMN)，支持不同的认知功能(例如预测 与情节记忆的对比)。这项拟议的研究旨在确定非侵入性脑刺激 导致小脑这一区域与任一网络相互作用更严重的参数，从而产生偏向 小脑外侧参与对成年人类至关重要的网络特定认知功能。因为欧洲中央情报局 和DMN已被证明产生不同的内源性大脑活动节律，方法是 提议的项目是改变重复经颅磁刺激(RTMS)的节律 送来了。我们假设，将节律性刺激与特定于网络的内源性活动相匹配将产生偏差 外侧小脑与具有相应固有频率的网络相互作用。休眠状态 FMRI和EEG将被用来评估操纵刺激节奏的网络层面的后果。我们 进一步的目的是确定刺激调节的大脑活动如何影响与网络相关的认知功能。 我们假设ECN的变化将对应于与预测相关的行为和大脑的变化 活动，而DMN的变化将对应于情景记忆行为和大脑的变化 活动。因此，该研究和培训计划将把非侵入性刺激方法与静息状态和 基于任务的fMRI和EEG测量大脑和认知功能。拟议的研究将提供一个 通过共享小脑中枢进行网络特异性神经调节的实验测试，这可能会激励 通过非侵入性脑刺激增强特定认知功能的程序。