Regulation of Anatomical Plasticity and Perceptual Learning by NgR1
NgR1 对解剖可塑性和知觉学习的调节
基本信息
- 批准号:8227408
- 负责人:
- 金额:$ 25.72万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-09-01 至 2013-08-31
- 项目状态:已结题
- 来源:
- 关键词:AdultAttentionAxonBehavioralBrainCerebral cortexChronicDendritic SpinesDetectionDevelopmentDiscriminationEnvironmentExhibitsExposure toGoalsImageIn VitroInjuryLearningLettersMediatingModificationMotorMusMutant Strains MiceMyelinNatureNeuraxisNeuronsPerceptual learningPerformancePhenotypeProteinsReadingRecoveryRegimenRegulationReportingResearchSensorySomatosensory CortexSpecific qualifier valueSpecificitySpinal cord injuryStrokeStructureSynapsesSynaptic plasticitySystemTactileTechniquesTestingTrainingVertebral columnVibrissaeVisualWild Type Mousebraillecentral nervous system injurycritical developmental periodexcitatory neuronexperienceimprovedin vivoinhibitor/antagonistinjuredmutantneural circuitnovelreceptorresearch study
项目摘要
DESCRIPTION (provided by applicant): Novel sensory experience and improved motor performance modify structural synaptic connectivity in the cerebral cortex, yet the functional contribution of this anatomical plasticity to perceptual learning is unclear. Recently, emerging techniques for repeatedly imaging neuronal structures in vivo has focused attention upon the remodeling of dendritic spines as a potential substrate for learning. However, a major obstacle to resolving the relationship between spine remodeling and learning is determining if spine dynamics are specific to cortical region, neuronal identity and learning task. The barrel field in somatosensory cortex (barrel cortex) has been a favored system for examining spine remodeling during sensory experience due to the topographical representation of whiskers and controlled, quantifiable nature of whisker use. The gap crossing task is an automated, quantitative perceptual learning task that relies on detection of a gap between two platforms by the whiskers. These experiments combine chronic in vivo imaging of dendritic spines in barrel cortex with this perceptual learning task to investigate if and how the rate of spine remodeling may specify the rate of perceptual learning. To test the hypothesis that the rate of spine remodeling reports the rate of perceptual learning, subsequent combined imaging and learning experiments exploit the phenotype of nogo-66 receptor (NgR1) mutant mice that learn this task faster. NgR1 is a neuronal protein that regulates plasticity in both the injured and intact central nervous system. NgR1 mutants recover better from spinal cord injury and stroke; adult NgR1 mutants also display a form of visual plasticity normally confined to a developmental critical period. How NgR1 regulates both spine remodeling and perceptual learning may improve not only understanding of how anatomical plasticity contributes to learning, but may reveal conserved mechanisms by which this receptor governs plasticity after injury and during development as well.
PUBLIC HEALTH RELEVANCE: How does 'practice make perfect'? This research both examines how learning a perceptual task, for example reading Braille letters, changes the structure of circuits in the brain and explores how the rate of learning is governed.
描述(由申请人提供):新的感觉体验和改善的运动表现改变了大脑皮层的突触结构连通性,但这种解剖可塑性对感知学习的功能贡献尚不清楚。最近,在体内反复成像神经元结构的新兴技术将注意力集中在树突棘的重塑上,树突棘是学习的潜在基础。然而,解决脊柱重塑与学习之间关系的一个主要障碍是确定脊柱动力学是否特定于皮质区域、神经元身份和学习任务。由于须的地形表征和须使用的可控制、可量化的性质,体感觉皮层(桶状皮质)中的桶状场一直是检查感官体验期间脊柱重塑的一个受欢迎的系统。间隙穿越任务是一项自动化的、定量的感知学习任务,它依赖于晶须对两个平台之间间隙的检测。这些实验将桶状皮质树突棘的慢性体内成像与感知学习任务相结合,以研究脊柱重塑的速度是否以及如何指定感知学习的速度。为了验证脊柱重塑的速度报告感知学习的速度这一假设,随后的联合成像和学习实验利用了nogo-66受体(NgR1)突变小鼠的表型,这些小鼠学习这项任务的速度更快。NgR1是一种神经元蛋白,可调节损伤和完整中枢神经系统的可塑性。NgR1突变体在脊髓损伤和中风后恢复较好;成人NgR1突变体也表现出一种通常局限于发育关键期的视觉可塑性。NgR1如何调节脊柱重塑和知觉学习不仅可以提高对解剖可塑性如何促进学习的理解,还可以揭示该受体在损伤后和发育过程中控制可塑性的保守机制。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Aaron W McGee其他文献
Aaron W McGee的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Aaron W McGee', 18)}}的其他基金
Dissecting the role of aggrecan and perineuronal nets in visual plasticity
剖析聚集蛋白聚糖和神经周围网络在视觉可塑性中的作用
- 批准号:
10753758 - 财政年份:2023
- 资助金额:
$ 25.72万 - 项目类别:
Deciphering Inhibition of Visual Plasticity by NgR1
解读 NgR1 对视觉可塑性的抑制
- 批准号:
8463201 - 财政年份:2012
- 资助金额:
$ 25.72万 - 项目类别:
Deciphering Inhibition of Visual Plasticity by NgR1
解读 NgR1 对视觉可塑性的抑制
- 批准号:
8841366 - 财政年份:2012
- 资助金额:
$ 25.72万 - 项目类别:
Deciphering Inhibition of Visual Plasticity by NgR1
解读 NgR1 对视觉可塑性的抑制
- 批准号:
9982965 - 财政年份:2012
- 资助金额:
$ 25.72万 - 项目类别:
Deciphering Inhibition of Visual Plasticity by NgR1
解读 NgR1 对视觉可塑性的抑制
- 批准号:
8295849 - 财政年份:2012
- 资助金额:
$ 25.72万 - 项目类别:
Deciphering Inhibition of Visual Plasticity by NgR1
解读 NgR1 对视觉可塑性的抑制
- 批准号:
9060941 - 财政年份:2012
- 资助金额:
$ 25.72万 - 项目类别:
Deciphering Inhibition of Visual Plasticity by NgR1
解读 NgR1 对视觉可塑性的抑制
- 批准号:
9754152 - 财政年份:2012
- 资助金额:
$ 25.72万 - 项目类别:
Deciphering Inhibition of Visual Plasticity by NgR1
解读 NgR1 对视觉可塑性的抑制
- 批准号:
8658088 - 财政年份:2012
- 资助金额:
$ 25.72万 - 项目类别:
Regulation of Anatomical Plasticity and Perceptual Learning by NgR1
NgR1 对解剖可塑性和知觉学习的调节
- 批准号:
8320118 - 财政年份:2011
- 资助金额:
$ 25.72万 - 项目类别:
相似国自然基金
多模态超声VisTran-Attention网络评估早期子宫颈癌保留生育功能手术可行性
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
Ultrasomics-Attention孪生网络早期精准评估肝内胆管癌免疫治疗的研究
- 批准号:
- 批准年份:2022
- 资助金额:52 万元
- 项目类别:面上项目
相似海外基金
Development of social attention indicators of emerging technologies and science policies with network analysis and text mining
利用网络分析和文本挖掘开发新兴技术和科学政策的社会关注指标
- 批准号:
24K16438 - 财政年份:2024
- 资助金额:
$ 25.72万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Improving Flexible Attention to Numerical and Spatial Magnitudes in Young Children
提高幼儿对数字和空间大小的灵活注意力
- 批准号:
2410889 - 财政年份:2024
- 资助金额:
$ 25.72万 - 项目类别:
Continuing Grant
The Information-Attention Tradeoff: Toward an Understanding of the Fundamentals of Online Attention
信息与注意力的权衡:了解在线注意力的基本原理
- 批准号:
2343858 - 财政年份:2024
- 资助金额:
$ 25.72万 - 项目类别:
Continuing Grant
The everyday learning opportunities of young children with attention and motor difficulties: From understanding constraints to reshaping intervention
注意力和运动困难幼儿的日常学习机会:从理解限制到重塑干预
- 批准号:
MR/X032922/1 - 财政年份:2024
- 资助金额:
$ 25.72万 - 项目类别:
Fellowship
Towards a cognitive process model of how attention and choice interact
建立注意力和选择如何相互作用的认知过程模型
- 批准号:
DP240102605 - 财政年份:2024
- 资助金额:
$ 25.72万 - 项目类别:
Discovery Projects
DDRIG in DRMS: Communicating risks in a sensational media environment-Using short video multimodal features to attract attention and reduce psychological reactance for persuasion
DRMS中的DDRIG:耸人听闻的媒体环境中沟通风险——利用短视频多模态特征吸引注意力,减少说服心理抵触
- 批准号:
2343506 - 财政年份:2024
- 资助金额:
$ 25.72万 - 项目类别:
Standard Grant
Assessing the Influence of Reading Fiction on Multiple Tests of Attention
评估阅读小说对注意力多重测试的影响
- 批准号:
24K16033 - 财政年份:2024
- 资助金额:
$ 25.72万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
CAREER: Designing Ultra-Energy-Efficient Intelligent Hardware with On-Chip Learning, Attention, and Inference
职业:设计具有片上学习、注意力和推理功能的超节能智能硬件
- 批准号:
2336012 - 财政年份:2023
- 资助金额:
$ 25.72万 - 项目类别:
Continuing Grant
CPS: Small: Brain-Inspired Memorization and Attention for Intelligent Sensing
CPS:小:智能传感的受大脑启发的记忆和注意力
- 批准号:
2312517 - 财政年份:2023
- 资助金额:
$ 25.72万 - 项目类别:
Standard Grant
CAREER: Understanding the Relationship of Covert and Overt Attention Using Concurrent EEG and Eye Tracking
职业:使用并发脑电图和眼动追踪了解隐性注意力和显性注意力的关系
- 批准号:
2345898 - 财政年份:2023
- 资助金额:
$ 25.72万 - 项目类别:
Continuing Grant














{{item.name}}会员




