Acquisition, extinction, and recall of attention biases to threat: Computational modeling and multimodal brain imaging
对威胁的注意偏差的获得、消除和回忆:计算模型和多模态脑成像
基本信息
- 批准号:10629385
- 负责人:
- 金额:$ 42.81万
- 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:2021-08-01 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:AccelerationAddressAmygdaloid structureAnimal ExperimentsAnimalsAnxietyAreaAssociation LearningAttentionBehaviorBehavioralBiological MarkersBrainBrain imagingCardiacClinicalClinical ResearchCommunicationCommunitiesComplexComputer ModelsComputing MethodologiesConditioned ReflexCuesDataDecelerationDiagnosticDiagnostic ProcedureDiseaseDisease susceptibilityElectrophysiology (science)EmotionsEtiologyEvent-Related PotentialsExtinctionFoundationsFrightFunctional Magnetic Resonance ImagingGoalsHeart RateHumanIndividualIndividual DifferencesInterventionLaboratoriesLearningLimbic SystemMachine LearningMeasurementMental DepressionMental disordersMethodsModelingMonitorMultimodal ImagingNational Institute of Mental HealthNeurosciences ResearchPerceptionPopulationPredispositionProcessPsychophysicsResearchResearch Domain CriteriaRoleSafetySamplingScalp structureSensoryShapesSignal TransductionStimulusStressStructureStudy modelsSystemTechniquesTestingTimeTrainingTranslational ResearchVisualVisual CortexVisual PerceptionVisual evoked cortical potentialWorkadvanced analyticsattentional biasattentional controlaversive conditioningconditioned fearconditioningexecutive functionexperienceexperimental studyhemodynamicsimaging modalityindexinginnovationinterestlearning extinctionmachine learning algorithmmultimodalityneuralneuroimagingnovelpost-traumatic stresspotential biomarkerpredictive modelingresponsetemporal measurementtooltranslational applicationsvisual neuroscience
项目摘要
Project Summary
Classical aversive conditioning is a well-established laboratory model for studying acquisition and extinction of
defensive responses. In experimental animals, as well as in humans, research to date has been mainly focused
on the role of limbic structures (e.g., the amygdala) in these responses. Recent evidence has begun to stress
the important contribution by the brain’s sensory and attention control systems in maintaining the neural
representations of conditioned responses and in facilitating their extinction. The proposed research breaks new
ground by combining novel neuroimaging techniques with advanced computational methods to examine the
brain’s visual and attention processes underlying fear acquisition and extinction in humans. Major advances
will be made along three specific aims. In Aim 1, we characterize the brain network dynamics of visuocortical
threat bias formation, extinction, and recall in a two-day learning paradigm. In Aim 2, we establish and test a
computational model of threat bias generalization. In Aim 3, we examine the relation between individual
differences in generalization and recall of conditioned visuocortical threat biases and individual differences in
heightened autonomic reactivity to conditioned threat, a potential biomarker for assessing the predisposition to
developing the disorders of fear and anxiety. It is expected that accomplishing these research aims will address
two NIMH strategic priorities: defining the circuitry and brain networks underlying complex behaviors (Objective
1) and identifying and validating new targets for treatment that are derived from the understanding of disease
mechanisms (Objective 3). It is further expected that this project will enable a paradigm shift in research on
dysfunctional attention to threat from one that focuses primarily on limbic-prefrontal circuits to one that
emphasizes the interactions among sensory, attention, executive control and limbic systems.
项目概要
经典的厌恶性条件反射是一个成熟的实验室模型,用于研究获得和消退
迄今为止的研究主要集中在实验动物和人类身上。
最近的证据开始强调边缘结构(例如杏仁核)在这些反应中的作用。
大脑的感觉和注意力控制系统对维持神经功能的重要贡献
这项研究打破了条件反应的表征并促进了它们的灭绝。
通过将新颖的神经影像技术与先进的计算方法相结合来检查
人类恐惧获得和消除的大脑视觉和注意力过程的重大进展。
将沿着三个具体目标进行。在目标 1 中,我们描述了视觉皮质的大脑网络动态。
在为期两天的学习范式中,威胁偏见的形成、消除和回忆在目标 2 中,我们建立并测试了一个模型。
在目标 3 中,我们研究了个体之间的关系。
条件性视觉皮层威胁偏差的概括和回忆的差异以及个体差异
肉体对条件性威胁的自主反应,是评估易感性的潜在生物标志物
预计实现这些研究目标将解决恐惧和焦虑障碍的问题。
NIMH 的两个战略重点:定义复杂行为背后的电路和大脑网络(目标
1) 识别和验证源自对疾病的理解的新治疗目标
机制(目标 3)进一步预计该项目将实现研究范式的转变。
对威胁的功能失调的注意力从主要关注边缘前额叶回路的注意力转向关注威胁的注意力
强调感觉、注意力、执行控制和边缘系统之间的相互作用。
项目成果
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{{ truncateString('MINGZHOU DING', 18)}}的其他基金
Acquisition, extinction, and recall of attention biases to threat: Computational modeling and multimodal brain imaging
对威胁的注意偏差的获得、消除和回忆:计算模型和多模态脑成像
- 批准号:
10459607 - 财政年份:2021
- 资助金额:
$ 42.81万 - 项目类别:
Acquisition, extinction, and recall of attention biases to threat: Computational modeling and multimodal brain imaging
对威胁的注意偏差的获得、消除和回忆:计算模型和多模态脑成像
- 批准号:
10296986 - 财政年份:2021
- 资助金额:
$ 42.81万 - 项目类别:
Acquisition, extinction, and recall of attention biases to threat: Computational modeling and multimodal brain imaging
对威胁的注意偏差的获得、消除和回忆:计算模型和多模态脑成像
- 批准号:
10296986 - 财政年份:2021
- 资助金额:
$ 42.81万 - 项目类别:
Mechanisms of attentional control: Structure and dynamics from simultaneous EEG-fMRI and machine learning
注意力控制机制:同步脑电图-功能磁共振成像和机器学习的结构和动力学
- 批准号:
10115818 - 财政年份:2018
- 资助金额:
$ 42.81万 - 项目类别:
Mechanisms of attentional control: Structure and dynamics from simultaneous EEG-fMRI and machine learning
注意力控制机制:同步脑电图-功能磁共振成像和机器学习的结构和动力学
- 批准号:
10368957 - 财政年份:2018
- 资助金额:
$ 42.81万 - 项目类别:
Emotional Engagement Driven by Complex Visual Stimuli: Neural Dynamics Revealed by Multimodal Imaging
复杂视觉刺激驱动的情感参与:多模态成像揭示的神经动力学
- 批准号:
9883648 - 财政年份:2017
- 资助金额:
$ 42.81万 - 项目类别:
Spatiotemporal Network Dynamics in a Rat Model of Schizophrenia
精神分裂症大鼠模型中的时空网络动力学
- 批准号:
8720463 - 财政年份:2014
- 资助金额:
$ 42.81万 - 项目类别:
Spatiotemporal Network Dynamics in a Rat Model of Schizophrenia
精神分裂症大鼠模型中的时空网络动力学
- 批准号:
8826825 - 财政年份:2014
- 资助金额:
$ 42.81万 - 项目类别:
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