Neural Basis of Effortful Decision Making

努力决策的神经基础

• 批准号: 10490247
• 负责人: Alexander Herman
• 金额: $ 18.62万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10490247
• 关键词: Anterior; Back; Behavior; Behavioral; Biological Assay; Biological Markers; Brain; Code; Cognitive; Computer Models; Cost Allocation; Cost Control; Cost Measures; Data; Decision Making; Development; Diffusion; Electrophysiology (science); Epilepsy; Etiology; Foundations; Frequencies; Funding; Goals; Human; Information Theory; Intervention; Intuition; K-Series Research Career Programs; Knowledge; Lead; Link; Maps; Measurement; Measures; Mediating; Methods; Modeling; Monitor; Neurophysiology - biologic function; Operative Surgical Procedures; Patients; Persons; Phase; Physiology; Play; Prefrontal Cortex; Process; Psychiatry; Randomized; Recovery; Research; Research Personnel; Resolution; Resources; Role; Short-Term Memory; Signal Transduction; Time; Training; Translating; Work; addiction; base; career; cingulate cortex; cognitive control; cognitive process; cognitive reappraisal; cost; design; discounting; experience; experimental study; improved; indexing; innovation; memory process; neural correlate; neural model; neuroeconomics; neuromechanism; neurophysiology; neuroregulation; novel; novel marker; relating to nervous system; skills; spatiotemporal; therapy development

PROJECT SUMMARY Current treatments for addiction remain limited by a gap in the fundamental knowledge of how different regions of prefrontal cortex interact in decision-making. Here, we examine the direct neural correlates in prefrontal cortex of the control and costs of effortful decision making in humans at high spatiotemporal resolution, laying the groundwork for the development of new treatments to improve decision making in addiction. This K23 Career Development Award aims to provide me with the necessary training to become an independent investigator translating intracranial studies of decision making into non-invasive biomarkers and targets for neuromodulation in addiction. Toward this end, I propose the following training objectives: (1) Develop advanced skills in neural decoding from intracranial electrophysiology data; (2) gain expertise in designing neuroeconomic and computational psychiatry experiments; and (3) gain expertise in utilizing brain stimulation in human behavioral experiments. The overall research objective of the proposed project is to resolve the roles played by prefrontal regions during effortful decision making by combining a neural decoding with functional connectivity analysis and with cortical stimulation to perturb network function. The central hypothesis is that anterior cingulate cortex (ACC) allocates cognitive resources for control, based on the cost of control assessed in orbitofrontal cortex (OFC), in turn determined by the efficiency evidence accumulation in dorsolateral prefrontal cortex (DLPFC). The specific aims of this research are to (1) Dissociate the roles of three prefrontal regions in the regulation of cognitive control. (2) Map the prefrontal network allocating cognitive effort, and (3) Causally dissect the cognitive effort network. Innovation: (1) Method: Use of neural decoding, information theory with intracranial electrophysiology and stimulation to characterize prefrontal networks in humans; (2) Design: Integration of experimental paradigms from neuroeconomics with computational models of neural processing and neurophysiology; (3) Concept: Measuring and modulating cognitive effort through simultaneous recording and stimulation of prefrontal regions during effortful decision-making. The proposed research is significant because it resolves a controversy over the functional roles of key regions of prefrontal cortex in effortful decision making that are putative targets for neuromodulation in addiction. The new fundamental knowledge generated by this proposal will lay the foundation for the development of novel biomarkers and targets for improving cognitive control and decision making in addiction with mechanism-based computationally guided neuromodulation.

项目摘要 当前的成瘾治疗方法仍然受到有关如何不同地区的基本知识的差距的限制 前额叶皮层在决策中相互作用。在这里，我们检查了前额叶的直接神经相关性 在高时空分辨率的人类中控制和努力决策的控制皮层和成本 开发新疗法以改善成瘾决策的基础。 这个K23职业发展奖的目的是为我提供必要的培训，以成为 独立研究者将决策制定的颅内研究转化为非侵入性生物标志物和 成瘾中神经调节的靶标。为此，我提出了以下培训目标：（1） 从颅内电生理学数据中发展出神经解码的先进技能； （2）获得专业知识 设计神经经济和计算精神病学实验； （3）在利用大脑方面获得专业知识 人类行为实验中的刺激。拟议项目的总体研究目标是 通过结合神经解码来解决前额叶区域在努力决策过程中扮演的角色 通过功能连通性分析和皮质刺激到扰动网络功能。 中心假设是，前扣带回皮层（ACC）将认知资源分配给控制，基于控制 关于在轨道额皮层（OFC）中评估的控制成本，而效率证据则决定 背外侧前额叶皮层（DLPFC）积聚。这项研究的具体目的是（1） 解离三个前额叶区域在认知控制调节中的作用。 （2）映射 前额叶网络分配认知工作，（3）因果剖析认知工作网络。 创新：（1）方法：使用神经解码，信息理论与颅内电生理学和 刺激人类的前额叶网络的刺激； （2）设计：实验范例的整合 从具有神经加工和神经生理学的计算模型的神经经济学中。 （3）概念： 通过同时记录和刺激前额叶区域来测量和调节认知工作 在努力的决策过程中。拟议的研究很重要，因为它解决了争议 前额叶皮层关键区域在努力决策中的功能作用，这是推定的目标 成瘾中的神经调节。该提案产生的新的基本知识将是 开发新型生物标志物和目标的基础，以改善认知控制和决策 与基于机制的计算指导神经调节作品成瘾。