Spatiotemporal mapping of auditory attention using multimodal imaging

使用多模态成像进行听觉注意力的时空映射

• 批准号: 7713251
• 负责人: Adrian KC Lee
• 金额: $ 9万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7713251
• 关键词: Accounting; Address; Animal Model; Attention; Auditory; Biological Markers; Brain; Complex; Consultations; Crowding; Crying; Cues; Data; Data Analyses; Development Plans; Devices; Dimensions; Electroencephalography; Engineering; Environment; Event; Fathers; Functional Magnetic Resonance Imaging; Goals; Hearing; Hearing Aids; Institution; Knowledge; Magnetic Resonance Imaging; Maps; Masks; Mentors; Mothers; Multimodal Imaging; Neurosciences; Noise; Parents; Pattern; Phase; Physiologic pulse; Prefrontal Cortex; Principal Investigator; Protocols documentation; Psychophysics; Recruitment Activity; Research; Resolution; Restaurants; Scanning; Science; Signal Transduction; Source; Speech; Staging; Stimulus; Techniques; Technology; Testing; Time; Training; Translating; Visual attention; Voice; Work; auditory stimulus; base; bioimaging; career; career development; clinically relevant; computerized data processing; data acquisition; data space; design; deviant; distraction; encephalography; frontal eye fields; graduate student; image reconstruction; imaging modality; interest; meetings; neuroimaging; next generation; programs; research study; response; segregation; sound; spatiotemporal

DESCRIPTION (provided by applicant): The research proposed herein aims at developing and utilizing a multimodal imaging approach to examine the underlying brain mechanism Involved in auditory attention. The proposed approach is to conduct the same experiment using functional magnetic resonance Imaging (fMRI) and magneto/electroencephalography (M/EEG). This powerful combination utilizes the fine spatial precision of fMRI with the high temporal resolution of M/EEG to map the spatiotemporal dynamics of the cortical networks associated with auditory attention and scene analysis. Currently, however, the acoustical noise associated with fMRI presents a technical hurdle to ail auditory studies. Initial steps to characterize the acoustical noise associated with different fMRI pulse sequences are underway. During the mentored phase, the candidate will draw on his signal processing expertise to develop a noise masking protocol that will psychoacoustically control for the auditory environment during fMRI scanning while mitigating the technical challenges In MR image reconstruction associated with the proposed auditory-amicable fMRI pulse sequence. In later stages, two experiments will be carried out examining how the prefrontal cortex is differentially involved when subjects are directed to attend different cues of the auditory stimulus. We will determine what "biomarkers" can be extracted from the M/EEG signals that are associated with the listener's attentional states. The project fits the candidate's long-term career goal of establishing a high-quality independent research program that combines engineering and neuroscience approaches in a synergistic manner to characterize the "biomarkers" that are associated with auditory scene analysis. This is clinically relevant because hearing aid users currently cannot understand speech easily in an acoustically crowded environment. Attention as "biomarkers" may one day be used to integrate with a processor that selectively amplify signal of Interest In real-time, actively aiding the listeners with auditory signal segregation. This work will facilitate the candidate's immediate goals of becoming an expert in multimodal imaging while bringing to the field his knowledge in speech and hearing sciences, particularly his quantitative psychophysics training. The mentored phase will be performed at the MGH-Harvard-MIT Martinos Center for Biomedical Imaging. The candidate will take advantage of the cutting-edge MRI facilities and expertise at the Center, as well as the world-class educational opportunities at its collaborating institutions. His career development plan includes training in MR data acquisition; consultations with experts of the field; coursework in image reconstruction in MRI and neuroengineering; participation in seminars and scientific meetings. As part of launching his own independent research program, the candidate will mentor a graduate student who will be expected to contribute to this project.

描述（由申请人提供）：本文提出的研究旨在开发和利用多模式成像方法来检查听觉关注所涉及的潜在大脑机制。所提出的方法是使用功能磁共振成像（fMRI）和磁性/脑电图（M/EEG）进行相同的实验。这种功能强大的组合利用了fMRI的精细空间精度和M/EEG的高时间分辨率来绘制与听觉注意力和场景分析相关的皮质网络的时空动力学。但是，目前，与fMRI相关的声学噪声为AIL听觉研究带来了技术障碍。表征与不同fMRI脉冲序列相关的声学噪声的初始步骤正在进行中。在指导阶段，候选人将利用他的信号处理专业知识来开发噪声掩盖协议，该方案将在fMRI扫描过程中对听觉环境进行心理概论，同时减轻与拟议的听觉相关的FMRI脉冲序列相关的MR图像重建中的技术挑战。在以后的阶段，将进行两个实验，以检查当受试者被指示参加听觉刺激的不同提示时，前额叶皮层如何差异。我们将确定可以从与听众注意状态相关的M/EEG信号中提取哪些“生物标志物”。该项目符合候选人的长期职业目标，即建立高质量的独立研究计划，该计划以协同的方式结合工程和神经科学方法，以表征与听觉场景分析相关的“生物标志物”。这在临床上是相关的，因为助听器用户目前无法在声音拥挤的环境中轻松理解语音。注意作为“生物标志物”，有一天可以与处理器集成，该处理器有选择地放大了实时的感兴趣信号，并积极地帮助听众信号隔离的听众。这项工作将促进候选人成为多模式成像专家的直接目标，同时将他的言语和听力科学知识（尤其是他的定量心理物理学培训）带入领域。指导阶段将在MGH-Harvard-MIT Martinos生物医学成像中心进行。候选人将利用该中心的尖端MRI设施和专业知识，以及其合作机构的世界一流的教育机会。他的职业发展计划包括MR数据获取的培训；与该领域的专家进行磋商； MRI和神经工程的图像重建课程；参加研讨会和科学会议。作为启动自己的独立研究计划的一部分，候选人将指导一名研究生，该研究生将有望为该项目做出贡献。