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Neural bases of successful auditory learning

成功听觉学习的神经基础

基本信息

批准号：
10179343
负责人：
Kelsey Mankel
金额：
$ 2.46万
依托单位：
UNIVERSITY OF MEMPHIS
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-06-01 至 2021-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10179343
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

项目摘要

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.

项目总结/摘要稳健的感知要求听者将传入的刺激组织成有意义的感知组，他们的环境意识。这种多对一的映射问题被称为分类感知（CP）。令人惊讶的是，尽管几十年的行为研究，何时何地分类发生在大脑中，类别如何由经验形成（例如，学习）并没有很好地理解。通过在时间上结合灵敏的EEG测量与最先进的源分析和功能连接技术，这该项目将在短期内描述成功的类别学习（目标1）的神经相关性听觉识别训练然后，我们评估了大脑的神经系统-语言系统中的神经差异，路径区分好与差的学习者（目标2），测试自下而上与自上而下的预测，反向层次理论（RHT）。分析将确定不同的“神经策略”，说明个人学习表现的差异，并确定是否更强的前馈或反馈皮层处理导致训练后更成功的分类。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治疗。或者个性化的训练计划（例如，第二语言学习），从而最大化治疗和/或对接受性听力能力的教育益处。拟议的博士前工作将在一个高生产力和跨学科的培训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Auditory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，这个F31包括高级源分析和功能的培训连接技术通过专门的一对一的导师与教师赞助商。初级培训人类神经成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赞助商菲利普帕弗里克博士，一个领先的知识获取和人类学习动力方面的专家。除了这些研究研究金培训计划包括职业发展机会，科学传播的里程碑（会议发言、出版物）、专业发展（例如，和正式的课程，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经验问题。这奖学金将为PI提供宝贵的科学培训，指导和专业发展，最终帮助她成为一名终身学术研究人员。