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衰老过程中胼胝体基于连接性的地形变化。

Connectivity-Based Topographical Changes of the Corpus Callosum During Aging.

作者信息

Liu Yuchen, Hsu Chih-Chin Heather, Huang Chu-Chung, Zhang Yajuan, Zhao Jiajia, Tsai Shih-Jen, Chen Liang-Kung, Lin Ching-Po, Lo Chun-Yi Zac

机构信息

Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.

Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.

出版信息

Front Aging Neurosci. 2021 Oct 20;13:753236. doi: 10.3389/fnagi.2021.753236. eCollection 2021.

Abstract

The corpus callosum (CC) is the most prominent white matter connection for interhemispheric information transfer. It is implicated in a variety of cognitive functions, which tend to decline with age. The region-specific projections of the fiber bundles with microstructural heterogeneity of the CC are associated with cognitive functions and diseases. However, how the CC is associated with the information transfer within functional networks and the connectivity changes during aging remain unclear. Studying the CC topography helps to understand the functional specialization and age-related changes of CC subregions. Diffusion tractography was used to subdivide the CC into seven subregions from 1,086 healthy volunteers within a wide age range (21-90 years), based on the connections to the cortical parcellations of the functional networks. Quantitative diffusion indices and connection probability were calculated to study the microstructure differences and age-related changes in the CC subregions. According to the population-based probabilistic topography of the CC, part of the default mode network (DMN) and limbic network (LN) projected fibers through the genu and rostrum; the frontoparietal network (FPN), ventral attention network (VA) and somatomotor networks (SM) were interconnected by the CC body; callosal fibers arising from the part of the default mode network (DMN), dorsal attention network (DA) and visual network (VIS) passed through the splenium. Anterior CC subregions interconnecting DMN, LN, FPN, VA, and SM showed lower fractional anisotropy (FA) and higher mean diffusivity (MD) and radial diffusivity (RD) than posterior CC subregions interconnecting DA and VIS. All the CC subregions showed slightly increasing FA and decreasing MD, RD, and axial diffusivity (AD) at younger ages and opposite trends at older ages. Besides, the anterior CC subregions exhibited larger microstructural and connectivity changes compared with the posterior CC subregions during aging. This study revealed the callosal subregions related to functional networks and uncovered an overall "anterior-to-posterior" region-specific changing trend during aging, which provides a baseline to identify the presence and timing of callosal connection states.

摘要

胼胝体(CC)是半球间信息传递最显著的白质连接。它与多种认知功能有关,而这些认知功能往往会随着年龄增长而衰退。具有微观结构异质性的纤维束在CC区域的特异性投射与认知功能和疾病相关。然而,CC如何与功能网络内的信息传递相关联以及衰老过程中的连接性变化仍不清楚。研究CC的拓扑结构有助于理解CC子区域的功能特化和与年龄相关的变化。基于与功能网络的皮质分区的连接,采用扩散张量成像将1086名年龄范围较广(21 - 90岁)的健康志愿者的CC细分为七个子区域。计算定量扩散指数和连接概率,以研究CC子区域的微观结构差异和与年龄相关的变化。根据基于人群的CC概率拓扑结构,默认模式网络(DMN)和边缘网络(LN)的部分通过胼胝体膝部和嘴部投射纤维;额顶网络(FPN)、腹侧注意网络(VA)和躯体运动网络(SM)通过CC体相互连接;源自默认模式网络(DMN)、背侧注意网络(DA)和视觉网络(VIS)部分的胼胝体纤维穿过压部。与连接DA和VIS的后CC子区域相比,连接DMN、LN、FPN、VA和SM的前CC子区域表现出更低的各向异性分数(FA)和更高的平均扩散率(MD)及径向扩散率(RD)。所有CC子区域在年轻时FA略有增加,MD、RD和轴向扩散率(AD)略有降低,而在老年时则呈现相反趋势。此外,在衰老过程中,前CC子区域与后CC子区域相比表现出更大的微观结构和连接性变化。本研究揭示了与功能网络相关的胼胝体子区域,并发现了衰老过程中整体“从前到后”的区域特异性变化趋势,这为识别胼胝体连接状态的存在和时间提供了基线。

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