CRCNS: State dependent neural mechanisms for respiratory pattern generation

CRCNS：呼吸模式生成的状态依赖神经机制

• 批准号: 7476380
• 负责人: Ilya A Rybak
• 金额: $ 28.4万
• 依托单位: DREXEL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-02 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7476380
• 关键词: Abdomen; Brain Stem; Breathing; Collaborations; Complex; Computer Simulation; Condition; Data; Dependency; Fire - disasters; Generations; Goals; Hybrids; Investigation; Ion Channel; Laboratories; Lung diseases; Methods; Modeling; Motor; Motor output; Network-based; Neurons; Pacemakers; Pattern; Pontine structure; Preparation; Property; Respiration Disorders; Sleep Apnea Syndromes; Sodium; Spinal cord injury; Structure of phrenic nerve; Synaptic Transmission; System; Testing; United States National Institutes of Health; Universities; insight; multidisciplinary; neuromechanism; research study; respiratory; simulation

DESCRIPTION (provided by applicant): Generation of the respiratory motor pattern is performed in the lower brainstem and involves complex cross-level interactions of cellular, network, and systems-level mechanisms. Because of these complex interactions, the system can operate in different functional states and engage different rhythmogenic mechanisms in each state. We hypothesize that the rhythmogenic mechanism operating in the respiratory network (i.e., network-based, pacemaker-driven or hybrid) is defined by the state of the pre-Botzinger complex, which in turn operates under control of other medullary and pontine circuits. We also suggest that the pons controls the state of the pre-Botzinger complex (and hence the rhythmogenic mechanism) directly and/or through other medullary circuits, such as the Botzinger complex. The overall goal of this multidisciplinary collaborative project is to investigate and understand these complex interactions and the state-dependency of respiratory rhythm generation by using experimental studies combined with computational modeling. The experimental studies will be performed by Dr. Smith (NINDS, NIH) and Dr. Paton (University of Bristol). The applied experimental methods will include (1) reduction of the operating respiratory network by sequential and highly precise transections applied to the pons and medulla and (2) using specific blockers of intrinsic neuronal properties (e.g., persistent sodium and other ionic channels) and network interactions (e.g., inhibitory synaptic transmission) applied to intact and reduced preparations. The computational model of the ponto-medullary respiratory network will be further developed by the group of Dr. Rybak (Drexel University) in close interactive collaboration with Drs. Smith and Paton using data accumulated in their laboratories. In turn, complementary experimental studies in these laboratories will be driven by modeling predictions. The resultant comprehensive computational model will be developed, tested and elaborated to reproduce the experimentally observed state-dependent changes in the firing patterns of respiratory neurons and in the discharge patterns of output motor nerves (phrenic, hypoglossal, central vagal and abdominal) under different experimental conditions. The proposed collaborative study will provide important insights into the complex neural mechanisms for control of breathing Ultimately, the model that will be developed in this project may be used for simulation of multiple respiratory disorders and diseases (e.g., sleep apnea, brainstem/spinal cord injury, CCHS), and for developing and investigations new methods for their treatment.

描述（由申请人提供）：呼吸运动模式的产生在下脑干中进行，涉及细胞、网络和系统级机制的复杂跨级相互作用。由于这些复杂的相互作用，系统可以在不同的功能状态下运行，并在每个状态下参与不同的节律机制。我们假设呼吸网络中的节律发生机制（即，基于网络的、起搏器驱动的或混合的）由前Botzinger复合体的状态定义，该前Botzinger复合体又在其他延髓和脑桥回路的控制下操作。我们还认为，脑桥控制状态的前Botzinger复合体（从而节律发生机制）直接和/或通过其他髓回路，如Botzinger复合体。这个多学科合作项目的总体目标是通过使用实验研究结合计算建模来调查和理解这些复杂的相互作用和呼吸节律生成的状态依赖性。实验研究将由Smith博士（NINDS，NIH）和Paton博士（布里斯托大学）进行。所应用的实验方法将包括（1）通过应用于脑桥和延髓的顺序和高度精确的横切来减少操作呼吸网络，以及（2）使用固有神经元特性的特异性阻断剂（例如，持久的钠和其它离子通道）和网络相互作用（例如，抑制性突触传递）应用于完整和还原的制剂。Rybak博士（德雷克塞尔大学）的研究小组将与Smith博士和Paton博士密切互动合作，利用他们实验室积累的数据，进一步开发脑桥-延髓呼吸网络的计算模型。反过来，这些实验室的补充实验研究将由建模预测驱动。由此产生的综合计算模型将被开发，测试和阐述，以再现实验观察到的状态依赖性变化的放电模式的呼吸神经元和输出运动神经（膈，舌下神经，中央迷走神经和腹部）在不同的实验条件下的放电模式。拟议的合作研究将为控制呼吸的复杂神经机制提供重要见解。最终，将在该项目中开发的模型可用于模拟多种呼吸系统疾病和疾病（例如，睡眠呼吸暂停，脑干/脊髓损伤，CCHS），并开发和研究新的治疗方法。