Neurocomputational mechanisms of impaired social decision-making in borderline personality
边缘人格社会决策受损的神经计算机制
基本信息
- 批准号:10608199
- 负责人:
- 金额:$ 37.93万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-06-01 至 2025-03-31
- 项目状态:未结题
- 来源:
- 关键词:AdolescenceAdultAffectAffectiveAgeAggressive behaviorAmygdaloid structureAngerBayesian MethodBehaviorBehavioralBiological Response Modifier TherapyBorderline Personality DisorderCase/Control StudiesCell NucleusClinicalCognitiveComplexComputer ModelsControl GroupsCorpus striatum structureCuesDataDecision MakingDecision TheoryDevelopmentDiagnosisEmotionalEmotionsEnrollmentEventFunctional Magnetic Resonance ImagingFunctional disorderGeneral PopulationGoalsImpairmentImpulsivityIndividualInformal Social ControlLearningLinkMental disordersModelingMotivationNational Institute of Mental HealthNeurosciencesNeurosciences ResearchNucleus AccumbensOutcomeParticipantPathway interactionsPersonalityPhylogenetic AnalysisPrefrontal CortexPrevalenceProcessPsychiatryPsychological reinforcementReactionRegulationResearchResistanceResolutionRestRoleSelf-Injurious BehaviorSeveritiesSignal TransductionSocial Anxiety DisorderSpecificityStimulusStrategic PlanningSuicide attemptSymptomsSystemTestingTreatment CostWorkadaptive learningage relatedbiomarker identificationcognitive neurosciencecomparison controlemerging adultfollow-upimprovedintimate behaviormaladaptive behaviorneuralneural circuitneurodevelopmentneuroimagingpsychosocialrecruitresponsesexsocialsocial influencesuicidalyoung adult
项目摘要
Borderline Personality Disorder (BPD) is a debilitating condition characterized by affective instability,
interpersonal dysfunction, and impulsive and self-harming behaviors. Individuals with BPD often make
disadvantageous decisions in response to negative interpersonal events, yet little is known about decision
processes that precipitate maladaptive behaviors. The past two decades of neuroscience research has
provided overwhelming evidence that decision-making can be understood in terms of Pavlovian and goal-
directed computational systems that are implemented in specific cortical-striatal-limbic circuits. Supported by
our preliminary data, we propose that in BPD, the cingulo-opercular network’s role in goal-directed learning is
vulnerable to disruptions by social-emotional cues that exert Pavlovian influences on decision-making.
Although BPD has historically been diagnosed in adults, symptoms often emerge in adolescence and their
severity may peak in early adulthood. The maturation of the cingulo-opercular network from adolescence to
early adulthood underlies developmental improvements in the integration of motivationally salient cues with
goal-directed behavior. We will test the hypothesis that in BPD, both approach- and avoidance-related
Pavlovian computations dominate the cingulo-opercular network via the phylogenetically old pathway from the
central nucleus of the amygdala to the nucleus accumbens core, which underpins emotion-driven Pavlovian
responses. The proposed case-control study will characterize abnormalities in Pavlovian and goal-directed
decision-making in 49 young adults with BPD symptoms compared to 49 matched individuals with social
anxiety disorder and 49 healthy controls. Studying these processes in early adulthood is essential because
BPD symptoms change rapidly during this period, which may reflect neurodevelopmental maturation of
emotion- and decision-related circuits. At the behavioral level, we will characterize participants using a decision
battery and corresponding hierarchical Bayesian reinforcement learning (RL) models that span social and
nonsocial contexts (Aim 1). We will link decision signals, particularly the effects of social cues on goal-directed
learning, with their neurocomputational correlates using Bayesian RL models and model-based fMRI analyses
(Aim 2). Finally, to characterize separable circuits involved in maladaptive Pavlovian computations in BPD, we
will conduct a high-resolution resting-state fMRI study of the integration of the cingulo-opercular network with
specific limbic and striatal regions (Aim 3). Altogether, our computational psychiatry approach builds on the
unique strengths of our investigative team in BPD and neurodevelopment (Hallquist), Bayesian methodology
(Oravecz), and decision neuroscience (Hallquist, Dombrovski). This work aligns well with the NIMH Strategic
Plan for Research objectives to describe the neural circuits underlying mental illness (Strategy 1.1) and to
identify biomarkers and behavioral indicators that predict change in illness (Strategy 2.2).
交界性人格障碍(BPD)是一种以情感不稳定为特征的衰弱状态,
人际功能障碍,以及冲动和自我伤害行为。患有BPD的人通常会
应对负面人际事件的不利决策,但对决策知之甚少
催生不适应行为的过程。在过去二十年的神经科学研究中,
提供了压倒性的证据,表明决策可以用巴甫洛夫和目标来理解-
在特定的皮质-纹状体-边缘回路中实现的定向计算系统。支持:
我们的初步数据表明,在BPD中,扣带回网络在目标定向学习中的作用是
容易受到对决策施加巴甫洛夫式影响的社会情绪线索的干扰。
尽管BPD在历史上是在成年人身上诊断出来的,但症状通常出现在青春期和他们的
严重程度可能在成年初期达到顶峰。从青春期到青春期扣带盖网络的成熟
成年期早期是发展进步的基础,在动机显著的线索与
目标导向型行为。我们将检验这样的假设:在BPD中,接近和回避都与
巴甫洛夫计算通过系统发育古老的途径主导了扣带-盖网络
杏仁核的中央核到伏隔核的核心,它支撑着情绪驱动的巴甫洛夫
回应。拟议的病例对照研究将描述巴甫洛夫畸形和目标导向的异常。
49名患有BPD症状的年轻人与49名匹配的社交障碍患者的决策能力比较
焦虑症和49名健康对照。在成年初期研究这些过程是至关重要的,因为
在此期间,BPD症状变化迅速,这可能反映了BPD的神经发育成熟。
情绪和决策相关的回路。在行为级别,我们将使用决策来描述参与者
电池和相应的层次化贝叶斯强化学习(RL)模型,跨越社交和
非社会背景(目标1)。我们将把决策信号联系起来,特别是社交线索对目标导向的影响
使用贝叶斯RL模型和基于模型的功能磁共振分析的学习及其神经计算相关性
(目标2)。最后,为了刻画BPD中非自适应巴甫洛夫计算所涉及的可分电路,我们
我将进行一项高分辨率静息状态fMRI研究,研究扣带盖网络与
特定的边缘和纹状体区域(目标3)。总之,我们的计算精神病学方法建立在
我们的研究团队在BPD和神经发育(Hallquist)、贝叶斯方法方面的独特优势
和决策神经科学(Hallquist,Dombrovski)。这项工作与NIMH战略非常一致
计划研究目标,以描述精神疾病潜在的神经回路(策略1.1)和
确定预测疾病变化的生物标志物和行为指标(战略2.2)。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
From Description to Explanation: Integrating Across Multiple Levels of Analysis to Inform Neuroscientific Accounts of Dimensional Personality Pathology.
- DOI:10.1521/pedi.2020.34.5.650
- 发表时间:2020-10
- 期刊:
- 影响因子:2.3
- 作者:Allen TA;Schreiber AM;Hall NT;Hallquist MN
- 通讯作者:Hallquist MN
Dispositional attachment style moderates the effects of physiological coregulation on short-term changes in attachment anxiety and avoidance.
- DOI:10.1037/per0000472
- 发表时间:2021-11
- 期刊:
- 影响因子:0
- 作者:Schreiber AM;Pilkonis PA;Hallquist MN
- 通讯作者:Hallquist MN
Disrupted physiological coregulation during a conflict predicts short-term discord and long-term relationship dysfunction in couples with personality pathology.
冲突期间生理共调节的破坏预示着患有人格病理的夫妻会出现短期不和谐和长期关系功能障碍。
- DOI:10.1037/abn0000526
- 发表时间:2020
- 期刊:
- 影响因子:4.6
- 作者:Schreiber,AlisonM;Wright,AidanGC;Beeney,JosephE;Stepp,StephanieD;Scott,LoriN;Pilkonis,PaulA;Hallquist,MichaelN
- 通讯作者:Hallquist,MichaelN
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Michael Nelson Hallquist其他文献
Michael Nelson Hallquist的其他文献
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{{ truncateString('Michael Nelson Hallquist', 18)}}的其他基金
Neurocomputational mechanisms of impaired social decision-making in borderline personality
边缘人格社会决策受损的神经计算机制
- 批准号:
10307834 - 财政年份:2019
- 资助金额:
$ 37.93万 - 项目类别:
Neurocomputational mechanisms of impaired social decision-making in borderline personality
边缘人格社会决策受损的神经计算机制
- 批准号:
10407975 - 财政年份:2019
- 资助金额:
$ 37.93万 - 项目类别:
Neurodevelopmental Origins of Emotion Dysregulation in Borderline Personality
边缘人格情绪失调的神经发育起源
- 批准号:
8641723 - 财政年份:2013
- 资助金额:
$ 37.93万 - 项目类别:
Neurodevelopmental Origins of Emotion Dysregulation in Borderline Personality
边缘人格情绪失调的神经发育起源
- 批准号:
8507906 - 财政年份:2013
- 资助金额:
$ 37.93万 - 项目类别:
Refining Borderline Personality Disorder Using Flexible Latent Variable Modeling
使用灵活的潜变量模型改善边缘性人格障碍
- 批准号:
8145562 - 财政年份:2010
- 资助金额:
$ 37.93万 - 项目类别:
Refining Borderline Personality Disorder Using Flexible Latent Variable Modeling
使用灵活的潜变量模型改善边缘性人格障碍
- 批准号:
7909693 - 财政年份:2010
- 资助金额:
$ 37.93万 - 项目类别:
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