Interactions between motor learning and episodic memory

运动学习和情景记忆之间的相互作用

基本信息

  • 批准号:
    10826188
  • 负责人:
  • 金额:
    $ 4.77万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-08 至 2025-09-07
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY/ABSTRACT As part of daily life, we regularly engage in well-learned and repetitive sequences of motor actions, such as commuting to work. Simultaneously, we are bound to encounter a stream of novel episodic information (e.g., getting a funny text during your commute), which we might hope to retain in long-term memory. Despite the prevalence of learned motor sequences in day-to-day experience, their impact on memory for concurrent episodic events is largely unknown. In the current proposal, I will explore how learned actions scaffold memory for the way that novel events unfold across time. Temporal information is a fundamental dimension of episodic memory, underlying our capacity to both anticipate future events and interpret the past. Existing work provides limited evidence for cooperative interactions between episodic memory and motor actions, finding that motor behavior during novel encoding, relative to passive observation, enhances subsequent item memory. However, this work has not considered the familiarity we have with the actions we take, nor does it address the formation of episodic memories that are rich in temporal structure. If we are to understand how memories are formed in the active and dynamic environments of everyday life, these gaps must be addressed. To this end, I propose to utilize a newly-developed task in which participants encode novel episodic sequences during the execution of learned vs. unfamiliar motor action sequences. Initial behavioral work shows that this task produces reliable enhancements in temporal order memory for novel item sequences encountered alongside learned actions. I will use fMRI to investigate the neural bases of this temporal memory effect, focusing in particular on contributions of the hippocampus and medial prefrontal cortex (mPFC). My hypotheses build on extant theories that these regions work in tandem to integrate novel episodic experiences with existing knowledge structures (e.g., learned motor patterns) in the service of memory behavior. In Aim 1, I will assess whether learned motor behaviors elicit systems-level changes in coordinated activity between hippocampus and mPFC, which in turn support the binding of novel episodic information with an existing motor sequence memory. In Aim 2, I will focus on the retrieval of novel episodes, determining whether the reactivation of learned motor representations in mPFC facilitates access to temporal order information, and how the hippocampus is involved in this process. Together, these aims will provide insight into how our everyday motor behaviors impact memory for concurrent experiences. They also have the potential to further our understanding of episodic memory dysfunction in clinical populations — both how it arises in patients with motor impairments, and how it can be remedied in those where motor function remains intact. Through this project, I will advance my understanding of the neural bases of episodic and motor memory systems, while also receiving training in fMRI task design, advanced neuroimaging analyses, and professional skills. All research will be conducted at Columbia University, which is home to a renowned community of memory researchers and state-of-the-art neuroimaging facilities.
项目摘要/摘要 作为日常生活的一部分,我们定期参与良好的运动动作序列,例如 上班。同时,我们一定会遇到一系列新颖的情节信息(例如, 在您的命令期间获得有趣的文字),我们可能希望将其保留在长期记忆中。尽管有 在日常体验中学习的运动序列的流行率,它们对记忆的影响 情节事件在很大程度上未知。在当前的建议中,我将探讨学习的动作如何脚手架记忆 对于跨时间的新事件展开的方式。时间信息是情节的基本维度 记忆,是我们既可以预测未来事件又解释过去的能力的基础。现有工作提供 有限的证据证明了情节记忆与运动动作之间的合作相互作用,发现该电动机 相对于被动观察,新颖编码过程中的行为增强了后续项目记忆。然而, 这项工作尚未考虑我们对我们采取的行动的熟悉程度,也没有解决编队 情节记忆丰富的临时结构。如果我们要了解如何形成记忆 必须解决这些差距的日常生活中的积极和动态的环境。为此,我建议 利用新成长的任务,参与者在执行过程中编码新颖的情节序列 学到的与不熟悉的运动动作序列。最初的行为工作表明,此任务会产生可靠的 与学习的动作一起遇到的新型项目序列的临时记忆中的增强功能。我 将使用fMRI调查这种临时记忆效应的神经底座,特别是 海马和中位前额叶皮层(MPFC)的贡献。我的假设以额外的理论为基础 这些区域与现有知识结构相结合,将新颖的情节体验与现有知识结构相结合 (例如,学习的电动机模式)为记忆行为提供服务。在AIM 1中,我将评估学习电机是否 行为引起海马和MPFC之间协调活动的系统级别的变化,这又 通过现有的运动序列记忆来支持新事件信息的结合。在AIM 2中,我会 专注于新事件的检索,确定学习式电机表示的重新激活是否重新激活 在MPFC收藏夹中,访问临时订单信息,以及海马如何参与此过程。 这些目标共同洞悉我们每天的运动行为如何影响并发的记忆 经验。他们还有可能进一步了解我们对情节记忆功能障碍的理解 临床人群 - 运动障碍患者的产生方式,以及如何在 那些运动功能保持完整的。通过这个项目,我将提高对神经的理解 情节和电机记忆系统的基础,同时还接受了fMRI任务设计的培训 神经影像学分析和专业技能。所有研究都将在哥伦比亚大学进行 著名的记忆研究人员和最先进的神经影像机构的所在地。

项目成果

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