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.

项目概要 更完整地表征人类听觉皮层处理对于理解听觉至关重要 没有它，就无法为各种听觉处理制定有效的治疗方案。 缺陷，例如那些根源于中枢听觉处理的缺陷，目前可能是不可能的。 关于如何定义和分割听觉皮层的最早区域，包括初级区域 听觉区域 A1，凸显了我们对传统声音处理的整体理解上的重大差距。 定义人类主要听觉区域的方法包括识别宏观解剖标志 每个半球被称为赫什尔回（HG），并使用它们的位置作为 A1 的粗略近似值。 虽然宏观解剖信息，例如听觉皮层的脑沟和回回模式，可以提供 对初级听觉区域位置的粗略估计可能不够准确。 听觉皮层中 HG 的大小、形状、位置和数量存在高度可变性 人类离线时，尝试使用功能特性，特别是频率映射（音调）。 也取得了有限的成功，因为音调梯度不能用于唯一地定位区域 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) 以非侵入性方式获取前所未有的高分辨率体内人体解剖数据 介观尺度（~0.35mm3），揭示了以前无法通过 获取这些信息将使我们能够生成详细的、数据驱动的听觉分区。 与目标 2 更紧密匹配的皮质将补充解剖学。 目标 1 中的方法是在同一组个体中定义 A1，使用多个高场皮质和亚场 使用基于任务和功能连接范例导出的功能激活的皮层测量。 基于任务的功能数据将用于构建几个关键感知相关的调整图 声学特征，其分割将受到静息状态连接模式的限制 皮质下区域和皮质下区域之间的工作。 神经影像、计算建模和静息状态连接将被结合起来，为听觉审计师提供服务 神经影像学界，具有最先进的初级多模态结构功能表征 为了帮助未来研究中听觉皮层特征的标准化， 这些信息将与地图集一起公开。长期目标是一个完整的目标。 人类听觉皮层的表征和分割在正常听力中产生的分割。 人群将作为描述和随后开发有效治疗方法的基线 听力受损人群的听觉处理缺陷。