Cognitive enhancement through model-based and individualized neurostimulation

通过基于模型的个性化神经刺激增强认知

• 批准号: 10608715
• 负责人: TODD S BRAVER
• 金额: $ 23.48万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-25 至 2024-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10608715
• 关键词: Address; Adult; Algorithms; Anterior; Architecture; Behavior; Behavioral; Brain; Brain region; Cephalic; Cognitive; Collection; Data; Dementia; Development; Electric Stimulation; Electrical Stimulation of the Brain; Electroencephalography; Electrophysiology (science); Engineering; Equilibrium; Frequencies; Functional Magnetic Resonance Imaging; Future; Human; Impaired cognition; Individual; Influentials; Information Theory; Insula of Reil; Intervention; Literature; Mental disorders; Methodology; Methods; Modeling; Nature; Neurosciences; Neurosciences Research; Participant; Pattern; Performance; Play; Policies; Population; Property; Protocols documentation; Regulation; Research; Rest; Risk; Sampling; Schizophrenia; Speed; System; Techniques; Testing; Translating; Validation; Work; attentional control; autism spectrum disorder; brain behavior; cognitive control; cognitive enhancement; cognitive function; cognitive neuroscience; cognitive task; computational neuroscience; control theory; cost; design; directed attention; effectiveness testing; experience; improved; individual variation; innovation; mind control; model building; network models; neural; neural model; neuromechanism; neuroregulation; novel; performance tests; predictive modeling; psychologic; public health relevance; spatiotemporal; temporal measurement; theories; tool

Project Summary (Abstract) Transcranial electrical stimulation (tES) represents a promising, noninvasive methodology by which to test causal mechanisms of human cognitive brain functions, and to translate systems neuroscience theory into therapy. This proposal utilizes whole-brain individualized neural modeling to better understand and harness the causal mechanisms by which tES modulates brain activity dynamics and cognitive functioning. The proposed research addresses key limitations of previous tES cognitive-enhancement studies, including uncertain mechanisms, efficacy, and individual variability, by drawing on an explicit neurocomputational architecture from which to derive strong brain-behavior linkages. In particular, a primary strength of the proposed project is its utilization of the Mesoscopic Individualized Neurodynamic (MINDy) modeling approach and platform previously developed and validated by the investigative team. The proposed project provides an ambitious extension of our prior work, by fully leveraging the MINDy platform to validate and test an innovative neural control engineering approach for analyzing, predicting, and manipulating causal relationships between large-scale brain networks (salience [SAL], frontoparietal control [FPN], default mode [DMN]) and their influence on cognitive function. We build individualized MINDy models for each participant based on their resting-state electroencephalographic (EEG) data, then further optimize model estimation through a novel closed-loop tES+EEG stimulation protocol (Aim 1). We then apply MINDy to modulate brain network dynamics associated with attention and cognitive control, drawing upon the influential triple-network model, by optimally stimulating the SAL network in a model-guided manner to shift from a DMN-dominant to FPN-dominant mode, under resting-state EEG conditions (Aim 2). Finally, we extend the stimulation protocol to cognitive task contexts (Aim 3), by implementing model-guided shifts of FPN-DMN balance as participants perform a well-established experimental paradigm probing attention and cognitive control (AX-CPT), testing for performance enhancements in terms of theoretically-interpretable behavioral markers. The findings of this project will have high

项目摘要（摘要） 经颅电刺激（TES）代表一种有希望的无创方法 人类认知脑功能的因果机制，并将系统神经科学理论转化为 治疗。该建议利用全脑个性化的神经建模来更好地理解和利用 TES调节脑活动动力学和认知功能的因果机制。这 拟议的研究解决了先前TES认知增强研究的关键局限性，包括不确定的 机制，功效和个人可变性，通过利用明确的神经计算结构 这可以得出牢固的大脑行为联系。特别是，拟议项目的主要优势是 以前的介质个性化神经动力学（Mindy）建模方法和平台的利用 由调查团队开发和验证。拟议的项目提供了我们的雄心勃勃的扩展 先前的工作，通过完全利用Mindy平台来验证和测试创新的神经控制工程 分析，预测和操纵大型大脑网络之间因果关系的方法 （显着性[SAL]，额叶控制[FPN]，默认模式[DMN]）及其对认知功能的影响。我们 根据他们的静止状态脑电图为每个参与者建立个性化的Mindy模型 （EEG）数据，然后通过新型的闭环TES+EEG刺激进一步优化模型估计 协议（目标1）。然后，我们应用Mindy来调节与注意力相关的大脑网络动态和 通过最佳刺激SAL网络来借鉴影响力的三个网络模型的认知控制 以模型引导的方式从静止状态的脑电图转移到DMN主导模式转移到FPN的主导模式 条件（目标2）。最后，我们将刺激方案扩展到认知任务上下文（AIM 3）， 随着参与者的执行良好的实验，实施FPN-DMN平衡的模型引导的变化 范式探测注意力和认知控制（AX-CPT），测试性能增强的术语 理论上可讲述的行为标记。该项目的发现将有很高