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基于分割的听觉网络模型。

A parcellation-based model of the auditory network.

机构信息

Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.

Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW 2031, Australia.

出版信息

Hear Res. 2020 Oct;396:108078. doi: 10.1016/j.heares.2020.108078. Epub 2020 Sep 16.

Abstract

INTRODUCTION

The auditory network plays an important role in interaction with the environment. Multiple cortical areas, such as the inferior frontal gyrus, superior temporal gyrus and adjacent insula have been implicated in this processing. However, understanding of this network's connectivity has been devoid of tractography specificity.

METHODS

Using attention task-based functional magnetic resonance imaging (MRI) studies, an activation likelihood estimation (ALE) of the auditory network was generated. Regions of interest corresponding to the cortical parcellation scheme previously published under the Human Connectome Project were co-registered onto the ALE in the Montreal Neurological Institute coordinate space, and visually assessed for inclusion in the network. Diffusion spectrum MRI-based fiber tractography was performed to determine the structural connections between cortical parcellations comprising the network.

RESULTS

Fifteen cortical regions were found to be part of the auditory network: areas 44 and 8C, auditory area 1, 4, and 5, frontal operculum area 4, the lateral belt, medial belt and parabelt, parietal area F centromedian, perisylvian language area, retroinsular cortex, supplementary and cingulate eye field and the temporoparietal junction area 1. These regions showed consistent interconnections between adjacent parcellations. The frontal aslant tract was found to connect areas within the frontal lobe, while the arcuate fasciculus was found to connect the frontal and temporal lobe, and subcortical U-fibers were found to connect parcellations within the temporal area. Further studies may refine this model with the ultimate goal of clinical application.

摘要

简介

听觉网络在与环境的互动中起着重要作用。多个皮质区域,如额下回、颞上回和相邻的脑岛,都与这一过程有关。然而,对该网络连接的理解一直缺乏追踪特异性。

方法

利用基于注意力任务的功能磁共振成像(fMRI)研究,生成听觉网络的激活似然估计(ALE)。与人类连接组计划(HCP)先前发表的皮质分区方案相对应的感兴趣区域,被配准到蒙特利尔神经学研究所坐标空间中的 ALE,并进行视觉评估,以确定是否包含在网络中。基于弥散张量磁共振成像的纤维束追踪技术,用于确定构成网络的皮质分区之间的结构连接。

结果

发现 15 个皮质区域是听觉网络的一部分:44 区和 8C 区、听觉区 1、4 和 5、额前回区 4、外侧带、内侧带和旁侧带、顶叶 F 中央旁小叶、颞叶语言区、岛叶后回、补充和扣带眼区和颞顶联合区 1。这些区域显示出相邻分区之间的一致连接。额斜束连接额叶内的区域,而弓状束连接额叶和颞叶,皮质下 U 纤维连接颞叶内的分区。进一步的研究可能会完善这个模型,最终目的是应用于临床。

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