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

项目总结/摘要 外侧小脑（脚I/II）与两个可分离的大规模大脑网络相互作用-执行 控制（ECN）和默认模式网络（DMN），它们支持不同的认知功能（例如，预测 对比情景记忆）。这项拟议中的研究旨在确定非侵入性脑刺激 参数，导致小脑的这一区域与任何一个网络的交互更严重，从而产生偏见 侧小脑参与对成年人至关重要的网络特定认知功能。因为ECN 和DMN已经被证明产生不同的大脑活动的内源性节律， 建议的项目是改变重复经颅磁刺激（rTMS）的节奏， 交付。我们假设将节律刺激与网络特异性内源性活动相匹配会偏向 侧小脑与具有相应固有频率的网络相互作用。静息态 fMRI和EEG将用于评估操纵刺激节律的网络级后果。我们 进一步的目标是确定刺激调制的大脑活动如何影响网络相关的认知功能。 我们假设，ECN的变化将对应于预测相关行为和大脑的变化。 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，这项研究和培训计划将把非侵入性刺激方法与静息状态相结合， 基于任务的功能磁共振成像和脑电图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， 通过非侵入性脑刺激增强特定认知功能的程序。

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.