Functional and structural characterization of human auditory cortex using high resolution MRI

使用高分辨率 MRI 表征人类听觉皮层的功能和结构

• 批准号: 10728782
• 负责人: Emily J Allen
• 金额: $ 19.38万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10728782
• 关键词: Access to Information; Acoustics; Address; Anatomy; Architecture; Area; Atlases; Auditory; Auditory Perception; Auditory area; Auditory system; Biological; Biological Markers; Cognition; Cognitive; Communities; Complement; Complex; Computer Models; Consensus; Data; Development; Exhibits; Foundations; Frequencies; Functional Magnetic Resonance Imaging; Future; Goals; Hearing problem; Human; Individual; Inherited; Location; Magnetic Resonance Imaging; Maps; Measures; Methodology; Methods; Music; Nature; Neurosciences; Pattern; Peripheral; Population; Positioning Attribute; Property; Research; Resolution; Rest; Role; Shapes; Speech; Standardization; Structure; System; Techniques; Work; anatomic imaging; area striata; auditory processing; common treatment; deafness; effective therapy; hearing impairment; in vivo; insight; multimodality; neuroimaging; normal hearing; novel; response; sound; success

PROJECT SUMMARY A more complete characterization of auditory cortical processing in humans is critical to understanding auditory perception and cognition. Without it, developing effective treatment options for various auditory processing deficits, such as those rooted in central auditory processing, may not be possible. Currently, there is a lack of consensus regarding how to define and parcellate even the earliest regions of auditory cortex, including primary auditory region A1, highlighting the significant gaps in our overall understanding of sound processing. Traditional approaches to defining primary auditory regions in humans include identifying the macroanatomical landmarks known as the Heshl’s gyri (HG) in each hemisphere and using their locations as a rough approximation of A1. While macroscopic anatomical information, such as the sulcal and gyral patterning in auditory cortex, can provide a rough estimate of where primary auditory regions are located, it is not sufficiently accurate. This is likely due to the high degree of variability in the size, shape, location, and number of HGs found in the auditory cortices of humans. Conversely, attempts to use functional properties—in particular, frequency mapping (tonotopy)—have also been met with limited success, as tonotopic gradients cannot be used to uniquely position the areal boundaries of A1. Aim 1 of the proposed research will exploit recent advances in magnetic resonance imaging (MRI) to non-invasively acquire unprecedentedly high-resolution in vivo human anatomical data at the mesoscopic scale (~0.35mm3), revealing biological information that was not previously available via neuroimaging. Access to this information will allow us to generate detailed, data-driven parcellations of auditory cortices that more closely match the underlying cytoarchitecture. Aim 2 will complement the anatomical approaches in Aim 1 by defining A1 in the same set of individuals, using several high-field cortical and sub- cortical measures of functional activation derived using both task-based and functional connectivity paradigms. The task-based functional data will be used to construct tuning maps for several key perceptually-relevant acoustic features, the parcellation of which will be constrained by the patterns of resting state connectivity between sub-cortical and cortical regions. Work from both aims, which includes mesoscopic MRI, subcortical neuroimaging, computational modeling, and resting state connectivity, will be combined to provide the auditory neuroimaging community with a state-of-the-art multimodal structure-function characterization of primary auditory cortex in humans. To aid in the standardization of auditory cortex characterizations in future studies, this information will be made publicly available, along with an atlas. The long-term goal is a complete characterization and parcellation of auditory cortex in humans. The resulting parcellations in normal-hearing populations will serve as a baseline for characterizing and subsequently developing effective treatments for auditory processing deficits in hearing-impaired populations.

项目摘要 对人类的听觉皮质处理的更完整表征对于理解听觉至关重要 感知和认知。没有它，为各种听觉处理开发有效的治疗选择 可能是不可能的，例如植根于中央听觉处理的缺陷。目前，缺乏 关于如何定义和分层的共识，即使是最早的听觉皮层区域，包括主要的皮层 听觉区域A1强调了我们对声音处理的整体理解的显着差距。传统的 定义人类主要听觉区域的方法包括识别宏观印度地标 在每个半球中被称为Heshl的Gyri（Hg），并将其位置用作A1的粗糙近似。 虽然宏观的解剖信息，例如听觉皮层的沟和健身房，但可以提供 对主要听觉区域的位置的粗略估计，它不够准确。这可能是由于 在听觉皮层中发现的大小，形状，位置和HG数量的高度可变性 人类。相反，尝试使用功能属性（尤其是频率映射（TONOTOPY）） 也获得了有限的成功，因为吨位梯度不能用来唯一地定位面积 A1的边界。拟议研究的目标1将利用磁共振成像的最新进展 （MRI）非侵入性在体内人体解剖学数据中以前所未有的高分辨率获取 介质量表（〜0.35mm3），揭示了以前无法通过的生物学信息 神经影像学。访问此信息将使我们能够生成听觉的详细的，数据驱动的拼接 皮质更与基础的细胞结构相匹配。 AIM 2将完成解剖学 通过在同一组中定义A1的AIM 1的方法，使用几个高场皮质和子 - 使用基于任务的和功能连接范式得出的功能激活的皮质测量。 基于任务的功能数据将用于构建几个关键感知相关的调谐图 声学特征，其拼接将受到静止状态连接的模式的约束 在皮层和皮质区域之间。来自两个目标的工作，其中包括介质MRI，皮层皮层 神经影像学，计算建模和静止状态连接将合并以提供听觉 具有最先进的多模式结构功能表征的神经影像社区 人类的听觉皮层。为了帮助未来研究中的听觉皮层字符的标准化， 此信息将与Atlas一起公开提供。长期目标是一个完整的 人类听觉皮层的表征和分析。正常听力的结果 人口将作为表征并随后开发有效治疗的基准 听觉处理的听力受损人群中的定义。