Structural and functional connectivity of the social decision-making network
社会决策网络的结构和功能连通性
基本信息
- 批准号:10194127
- 负责人:
- 金额:$ 5.41万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-08-01 至 2024-04-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAggressive behaviorAnimal ModelAreaBehaviorBehavioralBrainBrain regionComplexDecision MakingFamilyFosteringFriendsGoalsHumanIndividualInterventionMeasurementMicrotusNeuronsPair BondResearchRewardsRoleServicesSignal TransductionSocial BehaviorSocial EnvironmentSocial InteractionStimulusStructureSystemTechnologyTestingTimeaffiliative behaviorbaseinnovationneural circuitneural networkneurochemistryneuromechanismnew technologyprairie volerelating to nervous systemsocialsocial relationshipstool
项目摘要
PROJECT SUMMARY/ABSTRACT
Humans and numerous other species live in complex social environments, requiring many of our most important
decisions to be made in the context of social interactions. All of our social relationships rely on our ability to make
context-appropriate decisions, including significant ties with committed partners, family, and friends. The social
decision-making (SDM) network hypothesis suggests that the expression of a given social behavior is reflected
by the overall activity of a network of structures rather than activity of any single structure. Although the SDM
network has been proposed on functional grounds, most of the supportive evidence is based on structural
connectivity among loci and on examining the function of individual neurochemicals, brain areas, and neuronal
mechanisms therein. We know surprisingly little about network function that regulates context-appropriate social
behaviors. The socially monogamous prairie vole (Microtus ochrogaster) provides an opportunity to examine the
neural mechanisms underlying social decisions which foster intimate relationships through the study of brain
circuits regulating behavioral choices in interactions with current and potential partners. Our long-term goals are
to dissect the neurocircuitry of social behavior (including the social behavior network and mesolimbic reward
system), define normal and aberrant network activity during context-appropriate and context-inappropriate
behaviors, respectively, and develop precise interventional tools that change circuit dynamics. Our theoretical
neurocircuit of pair bond behaviors centers in five brain structures within the SDM network demonstrated to have
functional specialization in regulating partner-directed affiliative behaviors, stranger-directed aggressive
rejection, or both. Our specific aims will test the following hypotheses: (AIM 1) structural and functional
connectivity between brain regions will vary depending on type of social stimuli and pair bond status; (AIM 2)
Real-time recording in the SDM network will demonstrate that regional and interregional neural firing is distinct
during (a) affiliative vs aggressive, (b) familiar vs unfamiliar, and (c) preferred vs non-preferred social interactions;
and (AIM 3) altering neurochemical inputs into and activation of select projections out of a central hub will
promote shifts in activity across the neural network and adjust what is considered context-appropriate behaviors.
Upon conclusion, we will understand the role of regional and interregional activity within a network which governs
behavioral choices that either enhance or marginalize intimate social ties. This contribution is significant as it will
be the first study to utilize such time-sensitive measurements of neural activity within the SDM network in freely-
moving voles and will service as a proof-of-concept for how this neural network guides decisions in other social
scenarios which impact our most important social relationships. The proposed research is innovative as it
employs simultaneous fast measurement and manipulation of neural activity of the SDM network to better
address many aspects of network connectivity and integrates new technologies into in vole research, which may
serve as a template for how these technologies can be adapted for other non-traditional animal models.
项目摘要/摘要
人类和许多其他物种生活在复杂的社会环境中,需要我们许多最重要的
在社会互动的背景下做出的决定。我们所有的社会关系都取决于我们的能力
适合上下文的决定,包括与坚定的伙伴,家人和朋友的巨大联系。社交
决策(SDM)网络假设表明,给定的社会行为的表达反映
通过结构网络的整体活动,而不是任何单个结构的活动。虽然是SDM
已经提出了网络基于功能理由,大多数支持证据都是基于结构的
基因座之间的连通性以及检查单个神经化学物质,大脑区域和神经元的功能
其中的机制。我们对调节上下文的网络功能知之甚少,不适当的社会
行为。社会一夫一妻制的草原vole(Microtus ochrogaster)提供了一个机会来检查
通过研究大脑来促进亲密关系的社会决策的神经机制
电路在与当前和潜在伙伴的相互作用中调节行为选择。我们的长期目标是
剖析社会行为的神经记录(包括社会行为网络和中唇奖励
系统),定义适合上下文和上下文不适当的正常和异常网络活动
行为分别,并开发出更改电路动态的精确介入工具。我们的理论
配对键行为的神经电路以SDM网络中的五个大脑结构为中心
在调节合作伙伴指导的隶属行为方面的功能专业化,陌生人指导的侵略性
拒绝,或两者兼而有之。我们的具体目的将检验以下假设:(目标1)结构和功能
大脑区域之间的连通性将根据社会刺激的类型和配对键状态而有所不同。 (目标2)
SDM网络中的实时记录将证明区域和区域神经射击是不同的
在(a)会员与积极进取的期间,(b)熟悉的与陌生的熟悉,以及(c)优先与非偏爱的社交互动;
(AIM 3)将神经化学输入转化为中央集线器的精选投影的激活
促进神经网络活动的活动转变,并调整被认为是适合上下文的行为。
总结一下,我们将了解控制网络中区域和区域活动的作用
行为选择可以增强或边缘化亲密的社会联系。这种贡献很重要,因为
成为第一个利用自由SDM网络中神经活动的时间敏感测量的研究
移动田鼠并将服务作为概念证明,该神经网络如何指导其他社会的决策
影响我们最重要的社会关系的场景。拟议的研究具有创新性
同时快速测量和对SDM网络神经活动的操纵以更好
解决网络连接的许多方面,并将新技术集成到Vole研究中,这可能
用作如何将这些技术适应其他非传统动物模型的模板。
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)
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Adam Steven Smith其他文献
Adam Steven Smith的其他文献
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{{ truncateString('Adam Steven Smith', 18)}}的其他基金
Neurocircuit of Partner-seeking Following Social Loss
社交损失后寻求伴侣的神经回路
- 批准号:
10651414 - 财政年份:2023
- 资助金额:
$ 5.41万 - 项目类别:
Structural and functional connectivity of the social decision-making network
社会决策网络的结构和功能连通性
- 批准号:
10617376 - 财政年份:2019
- 资助金额:
$ 5.41万 - 项目类别:
Structural and functional connectivity of the social decision-making network
社会决策网络的结构和功能连通性
- 批准号:
9980505 - 财政年份:2019
- 资助金额:
$ 5.41万 - 项目类别:
Structural and functional connectivity of the social decision-making network
社会决策网络的结构和功能连通性
- 批准号:
10398026 - 财政年份:2019
- 资助金额:
$ 5.41万 - 项目类别:
Oxytocin regulation of social buffering following stress
催产素对压力后社会缓冲的调节
- 批准号:
8324842 - 财政年份:2011
- 资助金额:
$ 5.41万 - 项目类别:
Oxytocin regulation of social buffering following stress
催产素对压力后社会缓冲的调节
- 批准号:
8202364 - 财政年份:2011
- 资助金额:
$ 5.41万 - 项目类别:
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