Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; School of Psychiatry, University of New South Wales, Sydney, NSW 2052, Australia; Systems Neuroscience Group, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia.
Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; School of Psychiatry, University of New South Wales, Sydney, NSW 2052, Australia.
Neuroimage. 2015 Jul 1;114:414-26. doi: 10.1016/j.neuroimage.2015.04.009. Epub 2015 Apr 11.
Investigations of the human connectome have elucidated core features of adult structural networks, particularly the crucial role of hub-regions. However, little is known regarding network organisation of the healthy elderly connectome, a crucial prelude to the systematic study of neurodegenerative disorders. Here, whole-brain probabilistic tractography was performed on high-angular diffusion-weighted images acquired from 115 healthy elderly subjects (age 76-94 years; 65 females). Structural networks were reconstructed between 512 cortical and subcortical brain regions. We sought to investigate the architectural features of hub-regions, as well as left-right asymmetries, and sexual dimorphisms. We observed that the topology of hub-regions is consistent with a young adult population, and previously published adult connectomic data. More importantly, the architectural features of hub connections reflect their ongoing vital role in network communication. We also found substantial sexual dimorphisms, with females exhibiting stronger inter-hemispheric connections between cingulate and prefrontal cortices. Lastly, we demonstrate intriguing left-lateralized subnetworks consistent with the neural circuitry specialised for language and executive functions, whilst rightward subnetworks were dominant in visual and visuospatial streams. These findings provide insights into healthy brain ageing and provide a benchmark for the study of neurodegenerative disorders such as Alzheimer's disease (AD) and frontotemporal dementia (FTD).
人类连接组学的研究已经阐明了成人结构网络的核心特征,特别是枢纽区域的关键作用。然而,对于健康老年人连接组的网络组织知之甚少,这是系统研究神经退行性疾病的重要前提。在这里,对 115 名健康老年人(年龄 76-94 岁;65 名女性)的高角度扩散加权图像进行了全脑概率追踪。在 512 个皮质和皮质下脑区之间重建了结构网络。我们试图研究枢纽区域的结构特征,以及左右不对称和性别二态性。我们观察到,枢纽区域的拓扑结构与年轻成年人和先前发表的成人连接组数据一致。更重要的是,枢纽连接的结构特征反映了它们在网络通信中持续的重要作用。我们还发现了大量的性别二态性,女性在扣带回和前额叶皮质之间表现出更强的大脑两半球间连接。最后,我们展示了有趣的左侧偏置子网,这些子网与专门用于语言和执行功能的神经回路一致,而右侧子网则在视觉和视空间流中占主导地位。这些发现为健康大脑老化提供了深入的了解,并为研究神经退行性疾病(如阿尔茨海默病(AD)和额颞叶痴呆(FTD))提供了基准。