Neural Basis of Effortful Decision Making

努力决策的神经基础

• 批准号: 10674920
• 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/10674920
• 关键词: Anterior; Back; Behavior; Behavioral; Biological Assay; Biological Markers; Brain; Code; Cognitive; Computer Models; Cost Control; Cost Measures; Data; Decision Making; Development; Diffusion; Dissociation; Electrophysiology (science); Epilepsy; Etiology; Experimental Psychiatry; Foundations; Frequencies; Funding; Goals; Human; Information Theory; Intervention; Intuition; K-Series Research Career Programs; Knowledge; 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; Resource Allocation; Resources; Role; Short-Term Memory; Signal Transduction; Time; Training; Translating; Work; addiction; career; cingulate cortex; cognitive control; cognitive process; cognitive reappraisal; cost; design; discounting; experience; experimental study; improved; indexing; innovation; memory process; neural; neural correlate; neural model; neuroeconomics; neuromechanism; neurophysiology; neuroregulation; novel; novel marker; 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.

项目概要 目前对成瘾的治疗方法仍然受到不同地区如何治疗成瘾的基础知识的差距的限制。 前额皮质在决策过程中相互作用。在这里，我们检查前额叶的直接神经关联 人类在高时空分辨率下的控制和努力决策成本的皮层，奠定了 开发新疗法以改善成瘾决策的基础。 K23 职业发展奖旨在为我提供必要的培训，以成为一名 独立研究者将决策的颅内研究转化为非侵入性生物标志物 成瘾神经调节的目标。为此，我提出以下培训目标：（一） 培养从颅内电生理学数据进行神经解码的高级技能； (2) 获得专业知识 设计神经经济学和计算精神病学实验； (3) 获得利用大脑的专业知识 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所扮演的角色 通过功能连接分析和皮质刺激来扰乱网络功能。 中心假设是前扣带皮层 (ACC) 分配认知资源用于控制，基于 眶额皮质（OFC）评估的控制成本，进而由效率证据决定 积聚在背外侧前额皮质（DLPFC）中。本研究的具体目的是（1） 分离三个前额叶区域在认知控制调节中的作用。 (2) 绘制地图 分配认知努力的前额网络，以及（3）因果剖析认知努力网络。 创新点：（1）方法：利用神经解码、信息论结合颅内电生理学和 刺激来表征人类前额叶网络； (2)设计：实验范式的整合 来自神经经济学与神经处理和神经生理学的计算模型； （三）概念： 通过同时记录和刺激前额叶区域来测量和调节认知努力 在努力做出决定的过程中。拟议的研究意义重大，因为它解决了关于 前额皮质关键区域在努力决策中的功能作用，这些决策是假定的目标 成瘾中的神经调节。该提案产生的新基础知识将奠定 开发新型生物标志物和改善认知控制和决策的目标的基础 使人对基于机制的计算引导的神经调节上瘾。

项目成果

Learning signatures of decision making from many individuals playing the same game.

• DOI: 10.1109/ner52421.2023.10123846
• 发表时间: 2023-04
• 期刊: International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering
• 作者: Mendelson, Michael J.;Azabou, Mehdi;Jacob, Suma;Grissom, Nicola;Darrow, David;Ebitz, Becket;Herman, Alexander;Dyer, Eva L.
• 通讯作者: Dyer, Eva L.