Circuit Mechanisms Governing the Default Mode Network
管理默认模式网络的电路机制
基本信息
- 批准号:10576946
- 负责人:
- 金额:$ 69.07万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-04-01 至 2026-01-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAlzheimer&aposs DiseaseAnteriorAreaAttentionAttention deficit hyperactivity disorderAttenuatedAuditoryBehaviorBehavioralBrainBrain DiseasesBrain regionDataDisinhibitionEntropyEventExhibitsFiberFrequenciesFunctional Magnetic Resonance ImagingFunctional disorderGoalsHumanImageInsula of ReilInterneuronsInvestigationKnowledgeLinkMagnetic Resonance ImagingMeasurementMeasuresMedialMethodologyMusNeuronsOutputPhasePhotometryPrefrontal CortexPublic HealthRepetitive SequenceResearchRestRodentSchizophreniaSignal TransductionSpace ModelsStimulusStressStudy modelsSystemTechniquesTimeTranslational ResearchTranslationsautism spectrum disorderawakecausal modelcell typecingulate cortexcognitive controldeviantexcitatory neuronhemodynamicsindexinginhibitory neuroninnovationinsightnervous system disordernetwork architecturenetwork dysfunctionneural circuitneuromechanismneurophysiologyneuropsychiatric disorderneuropsychiatrynew technologynoveloptogeneticspreventresponsetime use
项目摘要
PROJECT SUMMARY
Non-invasive functional magnetic resonance imaging (fMRI) has revolutionized our
understanding of macroscopic functional brain networks. However, inherent constraints of current fMRI
methodologies in humans limit our ability to probe the mechanisms underlying these networks. The
overarching goal of this project is to shed light on cellular and circuit mechanisms underlying the
functional organization of the default-mode network (DMN) – a large-scale brain network that is crucial
for a wide range of behaviors. While the new technologies in rodents allows us to experimentally reveal
causal control of DMN, rodent DMN topology has only been defined using resting-state fMRI, but not
functionally in terms of activation or suppression of brain activity in response to behaviorally relevant
salient stimuli. This represents a critical barrier preventing any straightforward translation between
rodent and human DMN research findings. To address this, we developed a novel silent zero-echo-
time (ZTE) fMRI technique, enabling awake rodent imaging and the use of an auditory oddball
paradigm, wherein deviant oddball stimuli presented amongst a sequence of repetitive control stimuli
can drive attention and suppress DMN. We also developed an MR-compatible, four-channel,
spectrally-resolved fiber-photometry system, allowing concurrent recording of ground-truth neuronal
activities during fMRI. To shed light on the circuit mechanisms governing the DMN, we proposed
two complementary research Aims building on our rigorous prior research. In Aim 1, we will determine
how attention to salient stimuli alters DMN activity and connectivity using the novel ZTE-photometry
platform. In Aim 2, we will introduce time-locked optogenetics on defined cell types to causally
manipulate the activity of anterior insula – the brain region assumed to be responsible for DMN dynamic
switching in numerous fMRI causal modeling studies. Functionally dissecting the rodent DMN
architecture is critical to the understanding of DMN transition mechanisms, which will enable us to
causally model, and make predictions about brain states, bringing insight into the network basis of
human behavior and neuropsychiatric/neurological disorders.
1
项目摘要
非侵入性功能磁共振成像(fMRI)彻底改变了我们的
了解宏观功能的大脑网络。
人类的方法论限制了我们探测这些网络基础的机制的能力
总体目标是阐明它们的蜂窝和电路机制
默认模式网络(DMN)的功能组织 - 一个至关重要的大型大脑网络
对于一系列行为。
DMN的因果控制,啮齿动物DMN拓扑使用状态fMRI已定义,但不
在功能上,响应于行为相关的大脑活动的激活或促进性
显着刺激。这代表了一个关键的障碍
啮齿动物和人类DMN研究结果。
时间(ZTE)fMRI技术,实现清醒的啮齿动物成像和使用听觉奇数
范式,在一系列重复对照刺激中呈现的wayin变形刺激
可以驱动Attension并抑制DMN。
光谱纤维光度法系统,允许并发地面神经元
fMRI期间的活动。
两项汇编研究的目的是在我们的严格的优先研究中构建。
对显着刺激的注意力如何使用新型的ZTE-光度法改变DMN的活性和连接
在AIM 2中,我们将在定义的细胞类型上引入时遗传学
操纵前岛的活性 - 大脑调节负责DMN动态
切换众多功能磁共振成像因果建模研究。
体系结构对于理解DMN过渡机制至关重要,这将使我们能够
因果建模,并对大脑状态做出预测,将洞察力带入网络基础
人类行为和神经精神病/神经学障碍。
1
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 }}
VINOD MENON其他文献
VINOD MENON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('VINOD MENON', 18)}}的其他基金
Circuit Mechanisms Governing the Default Mode Network
管理默认模式网络的电路机制
- 批准号:
10380898 - 财政年份:2021
- 资助金额:
$ 69.07万 - 项目类别:
Integrative computational models of latent behavioral and neural constructs in children: a longitudinal developmental big-data approach
儿童潜在行为和神经结构的综合计算模型:纵向发展大数据方法
- 批准号:
10200653 - 财政年份:2019
- 资助金额:
$ 69.07万 - 项目类别:
Integrative computational models of latent behavioral and neural constructs in children: a longitudinal developmental big-data approach
儿童潜在行为和神经结构的综合计算模型:纵向发展大数据方法
- 批准号:
10631143 - 财政年份:2019
- 资助金额:
$ 69.07万 - 项目类别:
Integrative computational models of latent behavioral and neural constructs in children: a longitudinal developmental big-data approach
儿童潜在行为和神经结构的综合计算模型:纵向发展大数据方法
- 批准号:
10425350 - 财政年份:2019
- 资助金额:
$ 69.07万 - 项目类别:
Longitudinal Neurocognitive Studies of Mathematical Disabilities: trajectories and outcomes
数学障碍的纵向神经认知研究:轨迹和结果
- 批准号:
10468844 - 财政年份:2018
- 资助金额:
$ 69.07万 - 项目类别:
Longitudinal Neurocognitive Studies of Mathematical Disabilities: trajectories and outcomes
数学障碍的纵向神经认知研究:轨迹和结果
- 批准号:
9769805 - 财政年份:2018
- 资助金额:
$ 69.07万 - 项目类别:
Longitudinal Neurocognitive Studies of Mathematical Disabilities: Outcomes and Trajectories
数学障碍的纵向神经认知研究:结果和轨迹
- 批准号:
10842461 - 财政年份:2018
- 资助金额:
$ 69.07万 - 项目类别:
Longitudinal Neurocognitive Studies of Mathematical Disabilities: trajectories and outcomes
数学障碍的纵向神经认知研究:轨迹和结果
- 批准号:
10259850 - 财政年份:2018
- 资助金额:
$ 69.07万 - 项目类别:
Novel Bayesian linear dynamical systems-based methods for discovering human brain circuit dynamics in health and disease
新颖的——贝叶斯——线性——动态——基于系统的——方法——用于发现——人类——大脑——电路——健康和疾病的动力学
- 批准号:
9170593 - 财政年份:2016
- 资助金额:
$ 69.07万 - 项目类别:
Computational modeling of dynamic causal brain circuits underlying cognitive dysfunction in Alzheimer's disease
阿尔茨海默病认知功能障碍的动态因果脑回路的计算模型
- 批准号:
10301331 - 财政年份:2014
- 资助金额:
$ 69.07万 - 项目类别:
相似海外基金
Uncovering Mechanisms of Racial Inequalities in ADRD: Psychosocial Risk and Resilience Factors for White Matter Integrity
揭示 ADRD 中种族不平等的机制:心理社会风险和白质完整性的弹性因素
- 批准号:
10676358 - 财政年份:2024
- 资助金额:
$ 69.07万 - 项目类别:
The Proactive and Reactive Neuromechanics of Instability in Aging and Dementia with Lewy Bodies
衰老和路易体痴呆中不稳定的主动和反应神经力学
- 批准号:
10749539 - 财政年份:2024
- 资助金额:
$ 69.07万 - 项目类别:
Fluency from Flesh to Filament: Collation, Representation, and Analysis of Multi-Scale Neuroimaging data to Characterize and Diagnose Alzheimer's Disease
从肉体到细丝的流畅性:多尺度神经影像数据的整理、表示和分析,以表征和诊断阿尔茨海默病
- 批准号:
10462257 - 财政年份:2023
- 资助金额:
$ 69.07万 - 项目类别: