Department of Neurology, Keck School of Medicine, Institute for Neuroimaging and Informatics, University of Southern California Los Angeles, CA, USA.
Front Hum Neurosci. 2014 Feb 11;8:51. doi: 10.3389/fnhum.2014.00051. eCollection 2014.
Brain connectivity loss due to traumatic brain injury, stroke or multiple sclerosis can have serious consequences on life quality and a measurable impact upon neural and cognitive function. Though brain network properties are known to be affected disproportionately by injuries to certain gray matter regions, the manner in which white matter (WM) insults affect such properties remains poorly understood. Here, network-theoretic analysis allows us to identify the existence of a macroscopic neural connectivity core in the adult human brain which is particularly sensitive to network lesioning. The systematic lesion analysis of brain connectivity matrices from diffusion neuroimaging over a large sample (N = 110) reveals that the global vulnerability of brain networks can be predicated upon the extent to which injuries disrupt this connectivity core, which is found to be quite distinct from the set of connections between rich club nodes in the brain. Thus, in addition to connectivity within the rich club, the brain as a network also contains a distinct core scaffold of network edges consisting of WM connections whose damage dramatically lowers the integrative properties of brain networks. This pattern of core WM fasciculi whose injury results in major alterations to overall network integrity presents new avenues for clinical outcome prediction following brain injury by relating lesion locations to connectivity core disruption and implications for recovery. The findings of this study contribute substantially to current understanding of the human WM connectome, its sensitivity to injury, and clarify a long-standing debate regarding the relative prominence of gray vs. WM regions in the context of brain structure and connectomic architecture.
由于创伤性脑损伤、中风或多发性硬化症导致的大脑连接丢失,会对生活质量产生严重影响,并对神经和认知功能产生可衡量的影响。尽管众所周知,大脑网络的特性会因某些灰质区域的损伤而不成比例地受到影响,但白质(WM)损伤如何影响这些特性仍知之甚少。在这里,网络理论分析使我们能够识别出成年人大脑中存在一个宏观的神经连接核心,该核心对网络损伤特别敏感。通过对来自扩散神经影像学的大量样本(N=110)的大脑连接矩阵进行系统损伤分析,我们发现大脑网络的全局脆弱性可以根据损伤破坏这种连接核心的程度来预测,而这种核心与大脑中丰富俱乐部节点之间的连接集合截然不同。因此,除了丰富俱乐部内的连接外,大脑作为一个网络还包含一个独特的核心支架网络边缘,其由 WM 连接组成,这些连接的损伤极大地降低了大脑网络的整合特性。这种核心 WM 束的损伤模式导致整体网络完整性发生重大变化,为通过将损伤部位与连接核心破坏相关联来预测脑损伤后的临床结果提供了新的途径,并对恢复产生了影响。这项研究的发现极大地促进了人们对人类 WM 连接组的理解,它对损伤的敏感性,并澄清了关于灰质与 WM 区域在大脑结构和连接组架构中的相对重要性的长期争论。