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
- 来源:
- 关键词:AddressAffectAlzheimer&aposs DiseaseBehaviorBehavioralBindingBrainClinicalCommunitiesCommutingCouplingDataDimensionsElementsEnvironmentEpisodic memoryEventFaceFamiliarityFriendsFunctional Magnetic Resonance ImagingFutureHippocampusHomeHumanIndividualKnowledgeLearningLifeLightLiteratureMaintenanceMedialMemoryMemory impairmentMotorParkinson DiseaseParticipantPatientsPatternPopulationPrefrontal CortexPrevalenceProcessRepetitive SequenceResearchResearch PersonnelRetrievalRoleScanningSensorySeriesServicesStimulusStreamStructureSystemTechniquesTestingTextTimeTrainingUniversitiesVisualWorkbasedesignexperienceexperimental studyimprovedinsightlong term memorymarkov modelmembermemory processmotor behaviormotor impairmentmotor learningmultimodalityneuralneuroimagingneuromechanismnovelscaffoldskillstheories
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.
项目总结/摘要
作为日常生活的一部分,我们经常参与到一系列熟悉和重复的运动动作中,比如
上下班同时,我们一定会遇到一系列新颖的情节信息(例如,
在通勤途中收到一条有趣的短信),我们可能希望将其保留在长期记忆中。尽管
在日常经验中习得的运动序列的流行率,它们对记忆的影响,
偶发事件在很大程度上是未知的。在当前的建议中,我将探讨学习的行为如何支撑记忆
小说事件在时间中的展开方式时间信息是情节的基本维度
记忆,是我们预测未来事件和解释过去的能力的基础。现有工作提供
有限的证据表明,情节记忆和运动动作之间的合作相互作用,发现运动,
相对于被动观察,新编码过程中的行为增强了随后的项目记忆。然而,在这方面,
这项工作没有考虑到我们对所采取的行动的熟悉程度,也没有解决形成
具有丰富的时间结构。如果我们要了解记忆是如何形成的,
在日常生活的活跃和动态环境中,这些差距必须得到解决。为此,我建议
利用一个新开发的任务,参与者在执行过程中编码新的情节序列,
学习与不熟悉的运动动作序列。初步的行为研究表明,这项任务产生了可靠的,
增强时间顺序记忆的新项目序列遇到的旁边学习的行动。我
将使用功能磁共振成像来研究这种时间记忆效应的神经基础,特别关注
海马和内侧前额叶皮质(mPFC)的贡献。我的假设建立在现有的理论之上
这些地区协同工作,将新的情景经验与现有的知识结构相结合,
(e.g.,学习的运动模式)在服务的记忆行为。在目标1中,我将评估是否学会了运动
行为引起海马和mPFC之间协调活动的系统水平变化,
支持新的情节信息与现有的运动序列记忆的结合。在目标2中,我将
专注于检索新的情节,确定是否重新激活学习的运动表征
在mPFC中促进了对时间顺序信息的访问,以及海马体如何参与这一过程。
总之,这些目标将提供洞察我们的日常运动行为如何影响记忆的同时,
经验他们也有可能进一步了解情节记忆功能障碍,
临床人群-无论是如何出现在运动障碍患者,以及如何可以补救,
那些运动功能保持完好的人。通过这个项目,我将推进我对神经系统的理解。
情节和运动记忆系统的基础,同时也接受功能磁共振成像任务设计的培训,先进的
神经影像分析和专业技能所有的研究都将在哥伦比亚大学进行,
这里是著名的记忆研究者社区和最先进的神经成像设备的所在地。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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