Hierarchical circuits in the ventral auditory pathway

腹侧听觉通路的分层电路

• 批准号: 10642871
• 负责人: Yale E Cohen
• 金额: $ 35.82万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-10 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10642871
• 关键词: Active Listening; Anterolateral; Area; Arrhythmia; Attention; Auditory; Auditory Perception; Auditory area; Autonomic Pathways; Autonomic nervous system; Behavior; Behavior assessment; Behavioral; Brain; Cardiac; Cardiovascular system; Clinical; Code; Complex; Cortical Column; Coupled; Cues; Detection; Electrodes; Event; Feedback; Formulation; Frequencies; Goals; Hearing; Influentials; Investigation; Knowledge; Learning; Macaca mulatta; Master of Science; Methodology; Methods; Modeling; Monkeys; Neurons; Neurosciences; Pathogenesis; Pathway interactions; Patients; Perception; Phase; Population; Prefrontal Cortex; Primates; Process; Recording of previous events; Research; Role; Schizophrenia; Sensory; Stimulus; Testing; Training; Translational Research; auditory pathway; auditory stimulus; autism spectrum disorder; base; career development; excitatory neuron; expectation; improved; indexing; information model; information processing; inhibitory neuron; insight; neural; neural circuit; neuronal circuitry; neurophysiology; neuroregulation; novel; patient oriented research; predictive signature; programs; response; statistical learning

Although there is a rich history relating single-neuron spiking activity to brain function, our understanding of the neural bases of perception and behavior depends on identifying information processing within neuronal circuits that operate over different spatial scales. Despite their importance as a canonical model of information flow, our understanding of whether and how such bidirectional hierarchically organized circuits contribute to auditory perception remains elusive, especially in primate models of hearing. The overarching goal of this Roi proposal is to fill this knowledge gap by identifying bidirectional, hierarchically organized circuits that contribute to auditory perception. We will use predictive coding (PC) -a highly influential theoretical framework for auditory statistical learning and perceptual inference- as an experimental lever to test whether its predictions are instantiated in cortical circuits of the ventral auditory pathway. We focus on the ventral pathway because, in rhesus monkeys, this pathway contributes causally to auditory perception. To test the circuit predictions of PC, we insert multi-contact electrode(s) orthogonally to the cortical laminae and record single-unit and neuronalpopulation activity in the core auditory cortex and in the ventral auditory pathway While recording, rhesus monkeys participate in passive listening paradigms and an active listening task. During passive listening, monkeys listen to sequences of auditory stimuli containing both predictable and unpredictable events, which allow probes of prediction-error and prediction-related activity. During active listening, monkeys implicitly learn to use auditory cues to predict the onset of an auditory target; this task is a direct behavioral assessment of the strength and temporal dynamics of auditory statistical learning. In Specific Aim #1, we identify the interlaminar circuitry underlying PC and its hierarchical organization along the ventral auditory pathway. In Specific Aim #2, we identify the feedforward and feedback circuitry between the prefrontal and auditory cortices that underlies PC. The findings from this proposal will provide invaluable insights into the functional organization of cortical circuits underlying PC and statistical learning along the ventral auditory pathway. In turn, these insights may lead to the formulation of testable hypotheses regarding the neurophysiological underpinnings of deficits in statistical learning that have been identified in clinical conditions such as autism and schizophrenia.

尽管有悠久的历史将单神经位的尖峰活动与大脑功能有关，但我们的理解 感知和行为的神经基础取决于识别神经元内的信息处理 在不同的空间尺度上运行的电路。尽管它们是信息的规范模型 流动，我们对这种双向层次结构有组织的电路的理解 听觉感知仍然难以捉摸，尤其是在灵长类动物的听力模型中。这个投资回报率的总体目标 提案是通过识别双向层次有组织的电路来填补这一知识差距 听觉感知。我们将使用预测性编码（PC） - 具有影响力的高度影响理论框架 听觉统计学习和知觉推断 - 作为测试其预测是否预测的实验杆 在腹听觉途径的皮质回路中实例化。我们专注于腹侧路径，因为 恒河猴，这条途径对听觉感知有贡献。为了测试PC的电路预测， 我们插入多接触电极（S）与皮质薄片正交，并记录单单元和神经元素的人群 记录时核心听觉皮层和腹听觉路径的活动 猴子参加被动听力范式和一项积极的聆听任务。在被动聆听期间， 猴子聆听包含可预测和不可预测事件的听觉刺激序列， 允许对预测和预测相关活性进行探测。在积极聆听期间，猴子隐含地学习 使用听觉提示来预测听觉目标的发作；此任务是对 听觉统计学习的力量和时间动态。在特定的目标＃1中，我们确定intraminar PC的基础电路及其沿腹听觉途径的分层组织。在特定的目标＃2中 我们确定前额叶和听觉皮层之间的前馈和反馈电路 个人电脑。该提案的发现将为皮质功能组织提供宝贵的见解 PC的基础电路和沿腹听觉途径的统计学习。反过来，这些见解可能 导致对缺陷的神经生理基础提出可检验的假设 在自闭症和精神分裂症等临床状况中已经鉴定出的统计学习。