Testing and forecasting hippocampal theta wave propagation in learning and memory

测试和预测海马θ波在学习和记忆中的传播

• 批准号: 9350392
• 负责人: ANDREW Porter MAURER
• 金额: $ 38.13万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-09 至 2021-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9350392
• 关键词: Adaptive Behaviors; Affect; Algorithms; Anxiety Disorders; Autistic Disorder; Automobile Driving; Behavior; Behavior assessment; Behavioral; Bipolar Disorder; Brain; Brain region; Cells; Cognition; Cognition Disorders; Cognitive; Communication; Complex; Coupled; Data; Disease; Dorsal; Event; Exhibits; Foundations; Frequencies; Functional disorder; Generations; Goals; Hippocampus (Brain); Human; Interdisciplinary Study; Laws; Learning; Measures; Medial; Mediating; Memory; Mental disorders; Modeling; Neuronal Dysfunction; Neurons; Pharmacology; Phase; Physiologic pulse; Physiological; Population; Positioning Attribute; Property; REM Sleep; Research; Rodent; Rodent Model; Role; Schizophrenia; Series; Synapses; Technology; Testing; Theta Rhythm; Time; Travel; Weather; base; cognitive task; entorhinal cortex; information processing; innovation; insight; mathematical model; nervous system disorder; network dysfunction; neural circuit; neuropsychiatric disorder; neuropsychiatry; novel therapeutics; relating to nervous system; repaired; theories; therapeutic target

Title: Testing and forecasting hippocampal theta wave propagation in learning and memory Abstract: Psychiatric disease states are associated with profound deficits in cognition that can severely compromise one's ability to live independently. In order to understand and effectively treat mental health disorders, it is necessary to determine how the information that supports adaptive behaviors is relayed across large networks of neurons. Brain rhythms, such as local field potential oscillations, have been hypothesized to organize neural circuit processing on multiple timescales in order to coordinate thought and action. Moreover, abnormalities in brain rhythms have been observed in humans afflicted with schizophrenia, autism, bipolar disorder, and a wide array of other neurological diseases. Among the neural oscillations affected by psychiatric diseases is the hippocampal theta rhythm, which is critical for learning and memory and is disrupted in schizophrenia and anxiety disorders. Importantly, the theta oscillation has been found to propagate along the hippocampal dorsoventral axis. Although the propagating theta wave has never been explicitly examined in the context of a cognitive task, this traveling brain rhythm could serve the fundamental purpose of integrating information across the hippocampus in support of learning and memory. The long-term goal of this research is to determine how neurons act in concert to guide behavior and to develop novel therapeutic strategies for normalizing brain rhythms in disease. The primary objective of the current proposal, which is the first step toward attaining our long-term goal, is to determine the behavioral and cellular mechanisms that modulate wave propagation, and to forecast oscillatory activity across brain regions. We will attain this by testing the central hypothesis that the propagation of the theta oscillation, coordinated via septal and entorhinal influences, can be described as a weakly nonlinear wave, altering its dynamics as a function of learning and memory with the following specific aims: 1) Determine the influence of cognition and septal input on hippocampal theta wave propagation, 2) Determine the influence of medial entorhinal input on hippocampal theta wave propagation, and 3) Develop a nonlinear algorithm to forecast theta wave propagation. The rationale is that this approach will uncover fundamental principles of wave propagation that will enable new insight into neuronal coordination in the normal brain and mechanisms of dysfunction in neuropsychiatric illness. This proposal is innovative because we will integrate cross-disciplinary theoretical and empirical approaches to develop an integrated understanding of large-scale neuronal dynamics. The significance of this contribution is an unprecedented understanding of activity propagation in the hippocampus during learning and memory that will provide insights into the temporal coordination of information, developing the critical foundation for understanding how cognition is disrupted in psychiatric disease.

标题：学习和记忆中海马体θ波传播的测试和预测 摘要： 精神疾病状态与严重的认知缺陷有关， 一个人独立生活的能力为了了解和有效地治疗心理健康障碍， 确定支持自适应行为的信息如何在大型网络中传递是必要的 的神经元。脑节律，如局部场电位振荡，已经被假设为组织神经元， 在多个时间尺度上进行电路处理，以协调思想和行动。此外， 已经在患有精神分裂症、自闭症、双相情感障碍和广泛的 一系列其他神经系统疾病。在受精神疾病影响的神经振荡中， 海马θ节律，这是学习和记忆的关键，在精神分裂症中被破坏， 焦虑症重要的是，已经发现θ振荡沿着海马 背腹轴虽然传播的θ波从未在一个 在认知任务中，这种移动的大脑节奏可以服务于整合信息的基本目的， 来支持学习和记忆。这项研究的长期目标是 确定神经元如何协同作用以指导行为，并开发新的治疗策略， 使疾病中的脑节律正常化。目前提案的主要目标是， 为了实现我们的长期目标，是确定行为和细胞机制，调节 波传播，并预测大脑区域的振荡活动。我们将通过测试 中心假说认为，传播的θ振荡，协调通过中隔和内嗅 影响，可以被描述为弱非线性波，改变其动态作为学习的函数， 记忆具有以下特定目的：1）确定认知和隔输入对 海马θ波传播，2）确定内侧内嗅输入对海马θ波传播的影响。 θ波传播，以及3）开发预测θ波传播的非线性算法。的 基本原理是，这种方法将揭示波传播的基本原理， 了解正常大脑中的神经元协调和神经精神障碍的机制 病这一建议是创新的，因为我们将整合跨学科的理论和实证 发展对大规模神经元动力学的综合理解的方法。其意义 贡献是对学习过程中海马体活动传播的前所未有的理解， 记忆，将提供洞察到信息的时间协调，发展关键的 理解认知在精神疾病中是如何被破坏的基础。