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
基本信息
- 批准号:9883648
- 负责人:
- 金额:$ 36.78万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-05-11 至 2022-02-28
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectAftercareAmygdaloid structureAnteriorAnxietyAttentionAttenuatedAuditoryBase of the BrainBrainBrain imagingBrain regionChronic stressClinicalComplexConflict (Psychology)CuesDataDesire for foodDiagnosisDiagnosticDisease susceptibilityElectrophysiology (science)ElementsEmotionalEmotionsEtiologyEvoked PotentialsFoundationsFrequenciesFrightFunctional Magnetic Resonance ImagingFunctional disorderGoalsHairHealthcareHumanHydrocortisoneInsula of ReilInterventionLaboratoriesMeasurementMeasuresMedialMediatingMental HealthMental disordersMethodologyMethodsModalityMonitorMood DisordersMotivationMotorMultimodal ImagingOrganismParietalPatient Self-ReportPrefrontal CortexPsychopathologyResearchResearch Domain CriteriaResearch PersonnelResolutionSafetySamplingSensorySignal TransductionSpecific qualifier valueSpecificityStimulusSystemTechniquesTestingTranslatingTreatment EfficacyUnited States National Institutes of HealthVisualVisual CortexVisual Perceptionanxiousbasebrain dysfunctionclinically relevantcognitive neurosciencecognitive taskcue reactivityemotional stimulusexperienceextrastriate visual cortexinnovationneural circuitneuromechanismneurophysiologynovelpersonalized medicinerelating to nervous systemresponsesocialsocial anxietysomatosensorysoundtraitvisual informationvisual stimulus
项目摘要
Project Summary
Emotional dysfunction is at the core of many psychiatric disorders, in particular fear, anxiety, post-traumatic,
and mood disorders. Describing the neural mechanisms associated with emotional processing is therefore a
critical issue in mental health care. Previous attempts to define the neurophysiology of human emotions in the
cognitive neuroscience laboratory have been hampered by the unavailability of conceptual and
methodological frameworks for studying complex emotional responses in context and with conflicting
information present. The proposed research establishes a novel technique for combining electrophysiological
recordings, high in temporal precision, with functional brain imaging, which is high in spatial precision. This
approach, called steady-state potential frequency-tagging, achieves stimulus specificity, temporal, and spatial
resolution across the whole brain. It is unique in that it allows researchers to identify distinct brain networks
selectively activated by different elements of a complex visual scene—even when the elements are spatially
overlapping and accompanied by stimulation in other sensory modalities. We combine this innovative
approach with a novel conceptual framework that considers changes in visual perception an active part of an
observer’s emotional response, to address the following Aims: (1) We characterize the large-scale brain
dynamics mediating the emotional response to an element that is embedded in a complex visual array. (2)
We determine how conflicting appetitive and aversive information, visual and auditory, affects these brain
dynamics. (3) Finally, we translate this novel method to socially anxious observers, testing mechanistic
hypotheses regarding the interactive effects of trait anxiety and chronic stress on short-term reactivity to
emotional challenge. The long-term clinical implications of the proposed research are manifold: For
diagnostic assessment and for monitoring treatment efficacy, a quantitative brain-based marker of emotional
engagement opens avenues for objectively evaluating pre- to post-treatment changes in appetitive/aversive
neural reactivity. It also enables measuring neural circuit function to enable quantitative measurements of
specific psychopathology and for identifying treatment targets in a personalized medicine framework.
项目摘要
情感功能障碍是许多精神疾病的核心,特别是恐惧、焦虑、创伤后,
因此,描述与情绪处理相关的神经机制是一个
精神卫生保健的关键问题。以前试图定义人类情绪的神经生理学,
认知神经科学实验室一直受到概念和
研究复杂情绪反应的方法框架,
这项研究建立了一种新的技术,
记录,高时间精度,与功能性脑成像,这是高空间精度。这
一种被称为稳态电位频率标记的方法,实现了刺激的时间和空间特异性
它的独特之处在于它允许研究人员识别不同的大脑网络,
选择性地被复杂视觉场景的不同元素激活-即使当元素在空间上是
重叠,并伴随着其他感官形式的刺激。我们将联合收割机
一个新的概念框架,认为视觉感知的变化是一个积极的一部分,
观察者的情绪反应,以解决以下目的:(1)我们表征大尺度大脑
动态调节对嵌入在复杂视觉阵列中的元素的情绪反应。(2)
我们确定如何冲突的食欲和厌恶的信息,视觉和听觉,影响这些大脑
(3)最后,我们将这种新的方法转化为社会焦虑的观察者,测试机械性
关于特质焦虑和慢性压力对短期反应性的交互作用的假设
这项研究的长期临床意义是多方面的:
诊断评估和监测治疗效果,一个定量的基于大脑皮层的情绪标志物,
参与为客观评估治疗前后食欲/厌恶的变化开辟了途径
它还使得能够测量神经回路功能,以使得能够定量测量神经反应性。
特定的精神病理学和用于在个性化医学框架中识别治疗靶点。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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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:
$ 36.78万 - 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:
10629385 - 财政年份:2021
- 资助金额:
$ 36.78万 - 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:
$ 36.78万 - 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:
$ 36.78万 - 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:
$ 36.78万 - 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:
$ 36.78万 - 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:
$ 36.78万 - 项目类别:
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