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）是一种很有前途的非侵入性方法， 人类认知大脑功能的因果机制，并将系统神经科学理论转化为 疗法该提案利用全脑个性化神经建模，以更好地理解和利用 tES调节大脑活动动力学和认知功能的因果机制。的 拟议的研究解决了以前tES认知增强研究的关键局限性，包括不确定的 机制，功效和个体变异性，通过借鉴一个明确的神经计算架构， 从而产生强大的大脑行为联系。特别是，拟议项目的主要优势是其 Mesoscopic Individualized Neurodynamic（MINDy）建模方法和平台的利用 由调查小组制定并验证。拟议的项目提供了一个雄心勃勃的扩展我们的 之前的工作，通过充分利用MINDy平台来验证和测试创新的神经控制工程 分析、预测和操纵大规模大脑网络之间因果关系的方法 （SAL，FPN，DMN）及其对认知功能的影响。我们 根据每个参与者的静息状态脑电图为他们建立个性化的MINDy模型 (EEG)数据，然后通过新型闭环tES+EEG刺激进一步优化模型估计 方案（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力学， 认知控制，借鉴有影响力的三重网络模型，通过最佳刺激SAL网络 在静息状态EEG下，以模型引导的方式从DMN主导模式转换为FPN主导模式 条件（目标2）。最后，我们将刺激协议扩展到认知任务上下文（目标3）， 实施模型引导的FPN-DMN平衡的转变，因为参与者进行了一个完善的实验 范式探测注意力和认知控制（AX-CPT），测试性能增强， 理论上可解释的行为标记该项目的研究结果将具有很高的