Spatiotemporal dynamics of the human emotion network
人类情感网络的时空动态
基本信息
- 批准号:10650379
- 负责人:
- 金额:$ 66.99万
- 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:2021-09-10 至 2026-06-30
- 项目状态:未结题
- 来源:
- 关键词:AddressAdultAffectAffectiveAffective SymptomsAgeAnatomic ModelsAnatomyAnimal ModelAnteriorAnxietyAutonomic nervous systemBehaviorBehavioralBiological ModelsBiologyBrainColorConsensusCoupledDevelopmentDorsalElectric StimulationElectrodesElectroencephalographyEmotionalEmotionsEpilepsyFacial ExpressionFrequenciesFunctional disorderGenerationsGoalsGrainHospitalizationHumanIndividualInsula of ReilIntractable EpilepsyInvestigationLateralLength of StayMapsMeasuresMental DepressionMethodsModelingMonitorMoodsNeuroanatomyNeurobiologyNeuronsOperative Surgical ProceduresParticipantPatientsPatternPersonal SatisfactionPlayPopulationPropertyResolutionRoleSeizuresStandardizationStimulusStructureSymptomsSystemTestingVideo RecordingWorkcingulate cortexdaily functioningemotion regulationemotional reactionexperienceflexibilityfunctional electrical stimulationimprovedinnovationinterdisciplinary approachmillisecondmortalitymultimodalitynegative affectnetwork dysfunctionneuralneuroimagingneuropsychiatric disordernovelpositive emotional stateresponsespatiotemporalspecific biomarkerssuccesssupport networktreatment response
项目摘要
ABSTRACT
Affective symptoms are a common feature of neuropsychiatric disorders that reflect dysfunction in a distributed
brain network that supports emotion. How aberrant functioning in a single emotion network underlies a wide
range of affective symptoms, such as depression and anxiety, is not well understood. Anchored by the anterior
cingulate cortex and ventral anterior insula, the emotion network responds to numerous affective stimuli. A more
sophisticated understanding of how the emotion network produces emotions—and how atypical emotion network
functioning relates to affective symptoms—will be critical for advancing current neuroanatomical models of
neuropsychiatric disorders. Intracranial electroencephalography (iEEG) provides direct estimates of neuronal
populations and can be used to map the spatiotemporal dynamics of the emotion network at a millisecond-level
resolution. Although functional neuroimaging studies have uncovered little evidence for neural differentiation
among emotions, these studies lack the spatiotemporal and spectral resolution to determine whether emotions
are characterized by unique neural signatures. The overall goals of the proposed project are to elucidate how
emotion network dynamics relate to the behavioral, autonomic, and experiential changes that accompany
emotions and to investigate how emotion network dysfunction relates to affective symptoms. Anatomically-
specific biomarkers of emotion network dysfunction could be used to guide development of novel treatments,
monitor symptoms and treatment response, and improve animal models of affective symptoms. We will study
100 patients with intractable epilepsy undergoing surgery for seizure localization. Subjects with iEEG electrodes
within the emotion network will undergo continuous neural and video recordings during a multi-day hospital stay.
Naturalistic affective behaviors that subjects display spontaneously throughout their hospitalization, emotional
reactivity in response to standardized affective stimuli, and emotional reactions following electrical stimulation of
emotion network hubs will be quantified. We will examine how activity within emotion network hubs changes
during emotions and how emotion network properties make some individuals more vulnerable to affective
symptoms than others. We will address three key aims. In Aim 1, we will determine how emotion network activity
relates to naturalistic affective behaviors. In Aim 2, we will uncover the unique neural signatures of discrete
emotions and their relations to task-based measures of emotional reactivity. In Aim 3, we will probe whether
electrical stimulation of emotion network hubs changes network activity and alters emotions, mood, and anxiety.
By utilizing a multidisciplinary approach, the proposed project has the potential to ask novel questions about the
neural origins of emotions and to advance current models of the neurobiological basis of emotions and affective
symptoms.
抽象的
情感症状是神经精神疾病的一个共同特征,反映了分布式系统的功能障碍。
支持情感的大脑网络。单个情感网络的异常功能如何构成广泛的基础。
一系列情感症状,例如抑郁和焦虑,目前尚不清楚。
扣带皮层和腹侧前岛叶,情感网络对多种情感刺激做出反应。
对情感网络如何产生情感以及非典型情感网络如何产生复杂的理解
功能与情感症状相关——对于推进当前的神经解剖模型至关重要
神经精神疾病。颅内脑电图(iEEG)提供神经元的直接评估。
群体,可用于绘制毫秒级情感网络的时空动态
尽管功能性神经影像学研究几乎没有发现神经分化的证据。
在情绪中,这些研究缺乏时空和光谱分辨率来确定情绪是否
具有独特的神经特征,该项目的总体目标是阐明如何进行。
情绪网络动态与伴随而来的行为、自主和经验变化有关
情绪并研究情绪网络功能障碍如何与情感症状相关。
情绪网络功能障碍的特定生物标志物可用于指导新疗法的开发,
监测症状和治疗反应,并改进情感症状的动物模型。
100 名顽固性癫痫患者接受癫痫发作定位手术,受试者带有 iEEG 电极。
在多天的住院期间,情感网络内的神经和视频将进行连续的记录。
受试者在住院期间自发表现出的自然情感行为、情绪
对标准化情感刺激的反应,以及电刺激后的情绪反应
我们将研究情感网络中心内的活动如何变化。
情绪期间以及情绪网络特性如何使某些人更容易受到情感影响
在目标 1 中,我们将确定情绪网络的活动方式。
在目标 2 中,我们将揭示离散的独特神经特征。
在目标 3 中,我们将探讨情绪及其与基于任务的情绪反应测量的关系。
情绪网络中枢的电刺激会改变网络活动并改变情绪、情绪和焦虑。
通过利用多学科方法,拟议的项目有可能提出关于
情绪的神经起源,并推进当前情绪和情感的神经生物学基础模型
症状。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Decoding naturalistic affective behaviour from spectro-spatial features in multiday human iEEG.
- DOI:10.1038/s41562-022-01310-0
- 发表时间:2022-06
- 期刊:
- 影响因子:29.9
- 作者:Bijanzadeh, Maryam;Khambhati, Ankit N.;Desai, Maansi;Wallace, Deanna L.;Shafi, Alia;Dawes, Heather E.;Sturm, Virginia E.;Chang, Edward F.
- 通讯作者:Chang, Edward F.
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Edward Chang其他文献
Edward Chang的其他文献
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{{ truncateString('Edward Chang', 18)}}的其他基金
Spatiotemporal dynamics of the human emotion network
人类情感网络的时空动态
- 批准号:
10295661 - 财政年份:2021
- 资助金额:
$ 66.99万 - 项目类别:
A Pilot Clinical Trial for Speech Neuroprosthesis
言语神经假体的初步临床试验
- 批准号:
10113331 - 财政年份:2021
- 资助金额:
$ 66.99万 - 项目类别:
A Pilot Clinical Trial for Speech Neuroprosthesis
言语神经假体的初步临床试验
- 批准号:
10364681 - 财政年份:2021
- 资助金额:
$ 66.99万 - 项目类别:
A Pilot Clinical Trial for Speech Neuroprosthesis
言语神经假体的初步临床试验
- 批准号:
10620623 - 财政年份:2021
- 资助金额:
$ 66.99万 - 项目类别:
The neural coding of speech across human languages
跨人类语言的语音神经编码
- 批准号:
10268977 - 财政年份:2020
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The neural coding of speech across human languages
跨人类语言的语音神经编码
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10044400 - 财政年份:2020
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$ 66.99万 - 项目类别:
Technology development for closed-loop deep brain stimulation to treat refractory neuropathic pain
闭环脑深部刺激治疗难治性神经病理性疼痛的技术开发
- 批准号:
10673662 - 财政年份:2019
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$ 66.99万 - 项目类别:
Technology development for closed-loop deep brain stimulation to treat refractory neuropathic pain
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