Neural bases of successful auditory learning

成功听觉学习的神经基础

• 批准号: 10066006
• 负责人: Kelsey Mankel
• 金额: $ 4.55万
• 依托单位: UNIVERSITY OF MEMPHIS
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2022-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10066006
• 关键词: Acoustics; Area; Auditory; Auditory Perception; Auditory area; Base of the Brain; Behavioral; Behavioral Model; Behavioral Research; Brain; Brain region; Categories; Clinical; Cognition; Cognitive Science; Complement; Computer Models; Coupled; Data; Development; Disease; Dyslexia; Educational workshop; Electroencephalography; Environment; Event-Related Potentials; Exhibits; Faculty; Feedback; Fellowship; Future; Goals; Grain; Grouping; Hearing; Human; Impairment; Individual; Individual Differences; Inferior frontal gyrus; Intervention; Knowledge; Knowledge acquisition; Label; Laboratories; Language Development; Learning; Light; Linguistics; Link; Maps; Measurement; Measures; Mentorship; Music; Neurobiology; Neuronal Plasticity; Neurophysiology - biologic function; Outcome; Participant; Pathway interactions; Perception; Perceptual learning; Performance; Population; Process; Publications; Rehabilitation therapy; Research; Research Personnel; Scalp structure; Science; Sensory; Sensory Process; Signal Transduction; Source; Specific qualifier value; Speech; Stimulus; System; Techniques; Testing; Therapeutic; Training; Training Programs; Universities; Work; auditory pathway; base; brain pathway; career; career development; cognitive neuroscience; density; experience; lens; neural correlate; neuroimaging; neuromechanism; neurophysiology; pre-doctoral; recruit; relating to nervous system; skills; sound; success; symposium; tenure track; theories

Project Summary/Abstract Robust perception requires listeners organize incoming stimuli into meaningful perceptual groups to make sense of their environment. This many-to-one mapping problem is known as categorical perception (CP). Surprisingly, despite decades of behavioral research, when and where categorization occurs in the brain and how categories are shaped by experience (e.g., learning) are not well understood. By combining temporally sensitive EEG measurements with state-of-the-art source analysis and functional connectivity techniques, this project will characterize the neural correlates of successful category learning (Aim 1) during short-term auditory identification training. We then evaluate neural differences within the brain’s auditory-linguistic pathways that distinguish good vs. poor learners (Aim 2), testing bottom-up vs. top-down predictions of the reverse hierarchy theory (RHT). Analyses will identify different “neural strategies” that illustrate individual differences in learning performance and determine whether stronger feedforward or feedback cortical processing leads to more successful categorization after training. Understanding the unique neural mechanisms supporting sound categorization and auditory learning may help individualize future rehabilitative or personalized training programs (e.g., second language learning), thereby maximizing therapeutic and/or educational benefits for receptive hearing abilities. The proposed predoctoral work will be conducted in a highly productive and interdisciplinary training environment at the University of Memphis that is well-suited to support the PI in achieving the training plan goals. Under the guidance of Dr. Gavin Bidelman, the research will be primarily conducted in the Auditory Cognitive Neuroscience Laboratory (ACNL), which specializes in auditory perception-cognition, neurophysiology (via multichannel EEG/ERP analysis), speech/music perception, and computational modeling. To achieve the research objectives, this F31 includes training in advanced source analysis and functional connectivity techniques via dedicated one-on-one mentorship with the faculty Sponsor. Primary training in human neuroimaging and speech-hearing science will be complemented by interdisciplinary training in cognitive psychology and modeling of behavioral learning data with Co-Sponsor Dr. Philip Pavlik, a leading expert on knowledge acquisition and the dynamics of human learning. In addition to these research experiences, the fellowship training plan includes opportunities for career development, incorporating milestones in scientific dissemination (conference presentations, publications), seminars and workshops in professional development (e.g., grantsmanship), and formal coursework to support the PI’s training in theoretical and empirical issues in auditory cognitive neuroscience and the speech-hearing sciences. This fellowship will provide the PI invaluable scientific training, mentorship, and professional development that will ultimately help launch her career toward becoming a tenure-track academic researcher.

项目概要/摘要 稳健的感知要求听众将传入的刺激组织成有意义的感知组，以使得 对他们的环境的感觉。这种多对一映射问题称为分类感知（CP）。 令人惊讶的是，尽管进行了数十年的行为研究，但大脑中分类发生的时间和地点以及 经验（例如学习）如何塑造类别尚不清楚。通过暂时结合 通过最先进的源分析和功能连接技术进行灵敏的脑电图测量，这 项目将描述短期内成功类别学习（目标 1）的神经相关性 听觉识别训练。然后我们评估大脑听觉语言中的神经差异 区分好学习者和差学习者的路径（目标 2），测试自下而上与自上而下的预测 反向层次理论（RHT）。分析将识别不同的“神经策略”来说明个体 学习表现的差异并决定前馈或反馈皮质是否更强 处理可以在训练后实现更成功的分类。了解独特的神经 支持声音分类和听觉学习的机制可能有助于个性化未来的康复 或个性化培训计划（例如第二语言学习），从而最大限度地提高治疗和/或 对接受性听力能力的教育益处。 拟议的博士前工作将在高产和跨学科的培训中进行 孟菲斯大学的环境非常适合支持 PI 实现培训计划 目标。在 Gavin Bidelman 博士的指导下，研究将主要在听觉方面进行 认知神经科学实验室（ACNL），专门研究听觉感知认知， 神经生理学（通过多通道 EEG/ERP 分析）、语音/音乐感知和计算建模。 为了实现研究目标，该 F31 包括高级源分析和功能培训 通过与赞助商的专门一对一指导来学习连接技术。初级培训 人类神经影像和言语听觉科学将得到跨学科培训的补充 认知心理学和行为学习数据建模与共同发起人 Philip Pavlik 博士（领先的 知识获取和人类学习动态方面的专家。除了这些研究 经验，奖学金培训计划包括职业发展机会，纳入 科学传播（会议演讲、出版物）、研讨会和讲习班的里程碑 专业发展（例如资助）和正式课程以支持 PI 的培训 听觉认知神经科学和言语听觉科学的理论和实证问题。这 奖学金将为 PI 提供宝贵的科学培训、指导和专业发展， 最终帮助她开启职业生涯，成为一名终身教授学术研究员。