Dynamic approaches to understanding social cognitive aging: A social network neuroscience approach
理解社会认知衰老的动态方法:社交网络神经科学方法
基本信息
- 批准号:10683070
- 负责人:
- 金额:$ 55.16万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-15 至 2027-05-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAdultAffectAgeAgingAlzheimer&aposs DiseaseBehaviorBrainBrain regionClinicalCognitiveCognitive agingCognitive deficitsCollectionCommunicationDataElderlyFunctional Magnetic Resonance ImagingGoalsInterdisciplinary StudyInterventionKnowledgeLongevityMeasuresMethodsMindNatureNeurosciencesPerformancePersonsPopulationPovertyProcessResearchRestSamplingSocial BehaviorSocial ControlsSocial InteractionSocial NetworkStimulusStructureTask PerformancesWeightWorkage differenceage relatedcognitive functioncognitive taskeffective interventionfallshealthy agingimprovedinnovationinsightinterestmental stateneglectneuroimagingneuromechanismnovelpathological agingsocialsocial cognitionsocial neurosciencesocial relationshipstheoriesyoung adult
项目摘要
PROJECT SUMMARY
Social connectedness is critical for promoting healthy aging, including delaying the onset
of Alzheimer’s disease (AD). Developing and maintaining social relationships relies on
social cognitive function – the process by which people understand, store, and apply
information about others. However, healthy aging and AD are associated with declines in
social cognitive function. Identifying the mechanisms underlying this decline is essential
for ultimately improving the clinical course of AD. Neuroscience is uniquely suited to
identify these mechanisms because the brain regions underlying social behavior have
been well-characterized. However, the limited work in this domain has fallen short in
elucidating how brain activation relates to older adults’ social cognitive deficits. One
reason for this might be its reliance on relatively narrow measures of brain activation and
impoverished stimuli, which neglect the dynamic nature of brain function and of social
interactions. The current proposal addresses these gaps by applying cutting-edge
methods from the field of network neuroscience to social cognitive aging to examine how
age-related changes in brain networks – collections of brain regions that communicate
disproportionately more with each other – affect social cognitive function. Using this
novel social network neuroscience framework will ultimately transform our understanding
of the mechanisms by which healthy aging and AD disrupt social cognitive function. In
Aim 1, we compare traditional approaches of focusing on activation in specific brain
regions to a brain networks approach in order to determine which better relates to social
cognitive deficits (e.g., theory of mind; the ability to infer others’ mental states). Aim 2
explores whether older adults’ less stable brain networks predict their theory of mind
deficits. An exploratory goal of this aim is to determine whether dynamic (more
naturalistic) stimuli provide greater insight into age-related social cognitive deficits than
traditional, static stimuli. Finally, Aim 3 challenges current assumptions that older adults’
social cognitive deficits are limited to how their brains engage during tasks. Specifically,
we examine whether older adults’ baseline brain network structure (during resting state)
predicts their subsequent task performance, and extend this question to an AD sample.
The proposed study combines cutting-edge network neuroscience methods with social
cognitive aging to advance our understanding of healthy aging and AD. Ultimately, this
project will help identify novel targets for intervention to slow the progression of AD.
项目摘要
社会联系对于促进健康老龄化至关重要,包括延迟发病
老年痴呆症(AD)发展和维持社会关系依赖于
社会认知功能--人们理解、储存和应用的过程
关于其他人的信息。然而,健康的老龄化和AD与
社会认知功能确定这种下降背后的机制至关重要
最终改善AD的临床进程。神经科学是唯一适合
确定这些机制,因为社会行为背后的大脑区域
被很好地描述了。然而,在这一领域的有限工作,
阐明了大脑激活与老年人社会认知缺陷的关系。一
其原因可能是它依赖于相对狭窄的大脑激活措施,
贫乏的刺激,忽视了大脑功能和社会功能的动态本质,
交互.目前的建议通过应用尖端的
方法从网络神经科学领域到社会认知老化领域,研究如何
大脑网络中与年龄相关的变化-大脑区域的集合,
不成比例地影响社会认知功能。使用此
新的社交网络神经科学框架将最终改变我们对
健康老龄化和AD破坏社会认知功能的机制。在
目的1,我们比较了聚焦于特定大脑激活的传统方法
区域到大脑网络的方法,以确定哪些更好地涉及社会
认知缺陷(例如,心理理论;推断他人心理状态的能力)。目的2
探索老年人不太稳定的大脑网络是否能预测他们的心理理论
赤字该目的的探索性目标是确定动态(更多
自然主义)刺激提供了更大的洞察力与年龄相关的社会认知缺陷比
传统的静态刺激最后,目标3挑战了目前的假设,即老年人
社交认知缺陷仅限于他们的大脑在任务中的参与方式。具体地说,
我们研究了老年人的基线脑网络结构(在静息状态下)
预测他们随后的任务表现,并将此问题扩展到AD样本。
这项拟议中的研究将尖端的网络神经科学方法与社会学方法相结合,
认知老化,以促进我们对健康老龄化和AD的理解。最终这
该项目将有助于确定新的干预目标,以减缓AD的进展。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Comparing data quality from an online and in-person lab sample on dynamic theory of mind tasks.
比较动态心理理论任务的在线和现场实验室样本的数据质量。
- DOI:10.3758/s13428-023-02152-y
- 发表时间:2024
- 期刊:
- 影响因子:5.4
- 作者:Krendl,AnneC;Hugenberg,Kurt;Kennedy,DanielP
- 通讯作者:Kennedy,DanielP
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{{ truncateString('Richard F Betzel', 18)}}的其他基金
Dynamic approaches to understanding social cognitive aging: A social network neuroscience approach
理解社会认知衰老的动态方法:社交网络神经科学方法
- 批准号:
10342805 - 财政年份:2022
- 资助金额:
$ 55.16万 - 项目类别:
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