CRCNS: Modeling Acquisition and Extinction of Fear Memories in Amygdala Circuits

描述(由申请人提供)：拟议的跨学科研究的总体目标是使用一种综合的计算/实验方法来研究哺乳动物恐惧回路神经组件中条件性恐惧联系的获得和消亡。我们提出了一系列相互依赖的实验和生物现实模拟，使用一个“从生物学到模型，到预测，再回到生物学”的主题，其中实验将限制模型的设计(从生物学到模型‘)，模型和预期结果之间的差异将导致将通过实验(’回到生物学‘)检验的假说(’到预测‘)的形成。计算模型将使用来自两个神经科学合作项目实验室的实验数据来开发。我们团队在21年半的时间里开发的初步模型表明，它们可以为与学习和条件性恐惧的神经可塑性相关的内在和突触机制提供重要的见解。这项拟议的研究将扩大这种合作，具体目标如下：1.使用生物现实的计算模型，研究杏仁核学习和神经可塑性与条件性恐惧的获得和消退相关的潜在机制，并在实验中检验模型预测。从生物学到模型：利用已发表的生物学数据(体外和体内)，研究杏仁核单细胞模型的神经计算特性，包括杏仁外侧核(LA)、杏仁基底核(BA)、插入细胞(ITC)和中央核(CEM和CEL)。从生物学到模型和预测：使用包括单细胞模型的生物现实网络模型，研究关键杏仁核如何相互作用来获得和消除条件性恐惧记忆。做出预测，量化从LA到CEM的各种预测的相对贡献，以及关于其他机制的预测。从预测到生物学(以及返回)：在体外切片制备(将在PAR实验室进行)中，评估恐惧条件反射和消退对LA到CEL和CEL到CEM投射的突触反应的影响。吸收实验结果并改进模型。2.利用生物真实的计算模型，研究杏仁核依赖的条件反射和前额叶腹侧皮质对消退恐惧记忆的调节机制，并在实验中验证模型预测。从生物学到模型：利用已发表的生物学数据(体外和体内)，研究腹侧内侧前额叶皮质(VmPFC)边缘前(PL)和边缘下(IL)区域单个细胞和网络的神经计算特性。从生物学到模型再到预测：通过开发包括vmPFC和杏仁核在内的整体生物现实模型，确定vmPFC如何调控杏仁核依赖的恐惧和消退记忆(来自特定目标1)。预测vmPFC与调节这些记忆的杏仁核之间的可能联系，以及vmPFC失活对BA和CE神经元的音调反应的影响。从预测到生物学(以及回归)：评估vmPFC失活对恐惧条件反射和消退过程中BA和CE神经元音调反应的影响(将在Quirk实验室进行)。结合实验结果，在单一背景下改进杏仁核vmPFC调控模型。智力上的功绩。这项拟议的跨学科研究将第一次开发出生物上真实的恐惧回路计算模型。这将有助于发现哺乳动物获得和消除条件性恐惧的学习和神经可塑性机制，并将为实验研究带来有价值的预测和新的方向。建议的方法还将使人们更好地理解管理恐惧电路的系统和设计原则。更广泛的影响。拟议的计算模型将为包括创伤后应激障碍和焦虑症在内的一系列精神障碍提供新的见解和理解，这些疾病被认为是由恐惧回路中的缺陷引起的。它也将是开发治疗这类疾病的新药物和战略的关键工具。最后，合作还将有助于为本科生、研究生和医学生教育以及K-12学生制定新的课程和材料。

DESCRIPTION (provided by applicant): The overall objective of the proposed cross-disciplinary research is to use an integrated computational/experimental approach to study the acquisition and extinction of conditioned fear associations in the neural components of the fear circuit of mammals. We propose an interdependent series of experiments and biologically realistic simulations, using a 'from biology to model, to predictions, and back to biology' theme where experiments will constrain the design of the models ('from biology to model') and discrepancies between the models and expected outcomes will lead to the formulation of hypotheses ('to predictions') that will be tested experimentally ('back to biology'). The computational models will be developed using experimental data from laboratories of two neuroscience Co-PIs. Preliminary models, developed by our group over a period of 21/2 years demonstrate that they can provide significant insights into the intrinsic and synaptic mechanisms associated with learning and neuroplasticity in conditioned fear. The proposed research will expand this collaboration with the following specific aims: 1.To investigate the underlying mechanisms of learning and neuroplasticity in the amygdala related to the acquisition and extinction of conditioned fear using a biologically realistic computational model, and to test model predictions in experiments. From biology to model: Use published biology data (in vitro and in vivo), to investigate neurocomputational properties of single cell models of amygdala nuclei including lateral amygdala (LA), basal amygdala (BA), intercalated cells (ITC), and central nucleus (CeM and CeL). From biology to model and to predictions: Investigate how the key amygdala nuclei interact to acquire and extinguish conditioned fear memories using a biologically realistic network model that includes the single cell models. Make predictions to quantify the relative contributions of the various projections from LA to CeM, and about other mechanisms. From predictions to biology (and back): Assess the effects of fear conditioning and extinction on synaptic responses in the projections from LA to CeL, and CeL to CeM, in an in vitro slice preparation (to be performed in the Par¿ lab). Incorporate findings from experiments and refine the model. 2. To investigate the mechanisms involved in the regulation of amygdala-dependent conditioning and extinction fear memory by the ventro medial prefrontal cortex, using a biologically realistic computational model, and to test model predictions in experiments. From biology to model: Use published biology data (in vitro and in vivo), to investigate the neurocomputational properties of single cells and networks in the pre-limbic (PL) and infra-limbic (IL) regions of the ventral medial prefrontal cortex (vmPFC). From biology to model and to predictions: Determine how the vmPFC regulates amygdala-dependent fear and extinction memories by developing an overall biologically realistic model including the vmPFC and the amygdala (from specific aim 1). Make predictions about the possible connections between vmPFC and the amygdala that may regulate these memories, and the effect of vmPFC inactivation on the tone responses of BA and Ce neurons. From predictions to biology (and back): Assess the effects of vmPFC inactivation on tone responses of BA and Ce neurons during fear conditioning and extinction (to be performed in Quirk lab). Incorporate findings from experiments and refine the model of vmPFC regulation of the amygdala in a single context. Intellectual Merit. The proposed interdisciplinary research will be the first to develop a biologically realistic computational model of the fear circuit. It will facilitate discovery of the learning and neuroplasticity mechanisms that underlie acquisition and extinction of conditioned fear in mammals, and will lead to valuable predictions, and novel directions for experimental research. The approach proposed will also lead to a better understanding of the systems and design principles governing the fear circuit. Broader Impact. The proposed computational model will provide new insights and understanding of a spectrum of psychiatric disorders including PTSD and anxiety disorders, which are thought to arise from deficits in the fear circuit. It will also be a key tool for the development of novel agents and strategies for the treatment of such disorders. Finally, the collaboration will also contribute to the generation of new curricula and materials for undergraduate, graduate and medical student education, and for K-12students.