Inside the social perception network: dynamics, connectivity, and stimulation
社会感知网络内部:动态、连通性和刺激
基本信息
- 批准号:9279262
- 负责人:
- 金额:$ 44.63万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-08-05 至 2020-05-31
- 项目状态:已结题
- 来源:
- 关键词:AffectiveAmygdaloid structureAnatomyAngerAnxiety DisordersAreaAutistic DisorderBiologicalBody ImageBrainBrain imagingCaringCategoriesCognitionConsciousDataDetectionDiseaseElectric StimulationElectrical Stimulation of the BrainElectrodesElectroencephalographyElectrophysiology (science)EmotionalEmotionsEpilepsyEtiologyEvaluationEventEvolutionFaceFace ProcessingFacial ExpressionFacial Expression PerceptionFeedbackForm PerceptionFrequenciesFunctional Magnetic Resonance ImagingFunctional disorderFusiform gyrusGoalsHallucinationsHumanImageImaging TechniquesImplanted ElectrodesIndividualKnowledgeLeadLinkLocationMachine LearningMagnetoencephalographyMapsMemoryMental DepressionMental disordersMethodsModelingMotionNatureNetwork-basedNeurobiologyOperative Surgical ProceduresOutcomePathologicPathologyPatientsPerceptionPersonsPhysiologyPopulationPositron-Emission TomographyPost-Traumatic Stress DisordersPostureProbabilityProcessRecurrenceReportingResearchResearch Domain CriteriaSchizophreniaSiteSocial PerceptionStimulusStructureStructure of superior temporal sulcusTechniquesTemporal LobeTestingUnconscious StateVisualWorkbasecausal modelclinically relevantdesigndisabling symptomencephalographyevidence baseface perceptionhealthy volunteerinformation processinginterestkinematicslearning strategymillisecondneural circuitneuroimagingneuropsychiatric disorderpublic health relevancerelating to nervous systemresponsesocialspatiotemporaltargeted treatmenttemporal measurementvisual stimulus
项目摘要
DESCRIPTION (provided by applicant): Aberrant processing of social and affective information is a severe and disabling symptom across many neuropsychiatric disorders, including post-traumatic stress disorder (PTSD) and other anxiety disorders, depression, autism, and schizophrenia. Recent reports demonstrate that direct electrical brain stimulation (EBS) can alter perception, such as changing the identity of a person being viewed or causing memory-related hallucinations. If EBS can distort normal perception, then EBS using different parameters may be able to normalize SAP, for example by modulating affective salience to visual stimuli in PTSD. One key impediment towards developing EBS as a therapy for SAP pathology is that we lack an understanding of how electrical stimulation modulates neurodynamics and cognition. A critical step towards designing rational EBS-based stimulation parameters for SAP pathology is building a causal model of the millisecond-scale temporal dynamics, interregional interactions, and EBS modulation of these dynamics and interactions during SAP. Visual SAP relies on a neural circuit in the temporal lobe that includes the amygdala, fusiform gyrus (FG), and posterior superior temporal sulcus (pSTS). Non-invasive brain imaging techniques either lack the temporal resolution to examine millisecond dynamics (fMRI/PET), or are relatively insensitive to activity in deep brain structures such as the amygdala
(MEG/EEG/TMS). Direct neural recordings using intracranial electroencephalography (iEEG) in individuals undergoing neurosurgical evaluation for epilepsy will allow us to overcome these barriers to study the dynamics and interactions in the SAP circuit. Furthermore, delivery of EBS via these implanted electrodes will allow us to examine how electrical modulation of this circuit alters SAP. Using iEEG and advanced analysis methods from machine learning, we recently delineated the set of information processing stages that FG goes through for face perception. In this project, we will test a three- stage dynamic model of the sequence of events and interregional interactions that enable SAP based on these previous results, the work of others, and our preliminary data. We will record iEEG in our regions of interest to test neural dynamics during three critical aspects of social affective processing: perception of facial expression (Aim 1), the inference of actions from motion (Aim 2), and guiding conscious perception to affectively and socially salient stimuli (Aim 3). Then we will employ EBS to modulate perception during these processes. In addition, we will supplement iEEG with magnetoencephalography (MEG), which, while less sensitive to amygdala activity, provides whole-brain cortical coverage and facilitates the comparison of iEEG results to a normative population. The outcome of the proposed research will be a spatially and temporally specific model of the causal dynamics and interactions during SAP. This model will provide testable hypotheses regarding targeted EBS therapies that may normalize pathological SAP.
描述(由申请人提供):社交和情感信息的异常处理是许多神经精神疾病的一种严重且致残的症状,包括创伤后应激障碍(PTSD)和其他焦虑症、抑郁症、自闭症和精神分裂症。直接电脑刺激(EBS)可以改变感知,例如改变被观察者的身份或引起与记忆相关的幻觉如果EBS可以扭曲正常感知,那么使用不同参数的EBS也许可以。使 SAP 正常化,例如通过调节 PTSD 中视觉刺激的情感显着性,发展 EBS 作为 SAP 病理学治疗的一个关键障碍是我们缺乏对电刺激如何调节神经动力学和认知的了解,这是设计合理 EBS 的关键一步。基于 SAP 病理学的刺激参数正在构建毫秒级时间动态、区域间相互作用的因果模型,以及 SAP 期间这些动态和相互作用的 EBS 调制,该模型依赖于颞叶中的神经回路。包括杏仁核、梭状回 (FG) 和颞上沟 (pSTS)。非侵入性脑成像技术要么缺乏检查毫秒动态 (fMRI/PET) 的时间分辨率,要么对大脑深部结构的活动相对不敏感。比如杏仁核
(MEG/EEG/TMS)。在接受癫痫神经外科评估的个体中使用颅内脑电图 (iEEG) 进行直接神经记录将使我们能够克服这些障碍,以研究 SAP 回路中的动态和相互作用。此外,通过这些植入的 EBS 传输。电极将使我们能够检查该电路的电调制如何改变 SAP 使用 iEEG 和机器学习的高级分析方法,我们最近描述了 FG 经历的一组信息处理阶段。在这个项目中,我们将测试事件序列和区域间交互的三阶段动态模型,该模型使 SAP 基于先前的结果、其他人的工作,并初步记录我们区域的 iEEG 数据。有兴趣在社会情感处理的三个关键方面测试神经动力学:面部表情感知(目标 1)、从运动推断动作(目标 2)以及引导意识感知情感和社会显着刺激(目标 3)。那么我们将雇佣此外,我们将用脑磁图 (MEG) 来补充 iEEG,虽然它对杏仁核活动不太敏感,但可以提供全脑皮质覆盖,并有助于将 iEEG 结果与正常人群的结果进行比较。拟议研究的重点将是 SAP 期间因果动态和相互作用的空间和时间特定模型,该模型将提供有关可能使病理性 SAP 正常化的靶向 EBS 疗法的可检验假设。
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)
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AVNIEL S GHUMAN其他文献
AVNIEL S GHUMAN的其他文献
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{{ truncateString('AVNIEL S GHUMAN', 18)}}的其他基金
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Neurocognitive basis of attention and eye movement guidance in the real world scenes
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Neural basis of local and circuit-level spontaneous and task-evoked hemodynamic brain activity
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Neural basis of local and circuit-level spontaneous and task-evoked hemodynamic brain activity
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