Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Trinity College Institute of Neuroscience and Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Ireland.
Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Neuroimage Clin. 2020;28:102423. doi: 10.1016/j.nicl.2020.102423. Epub 2020 Sep 15.
Impaired brain development has been observed in newborns with congenital heart disease (CHD). We performed graph theoretical analyses and network-based statistics (NBS) to assess global brain network topology and identify subnetworks of altered connectivity in infants with CHD prior to cardiac surgery. Fifty-eight infants with critical/serious CHD prior to surgery and 116 matched healthy controls as part of the developing Human Connectome Project (dHCP) underwent MRI on a 3T system and high angular resolution diffusion MRI (HARDI) was obtained. Multi-tissue constrained spherical deconvolution, anatomically constrained probabilistic tractography (ACT) and spherical-deconvolution informed filtering of tractograms (SIFT2) was used to construct weighted structural networks. Network topology was assessed and NBS was used to identify structural connectivity differences between CHD and control groups. Structural networks were partitioned into core and peripheral nodes, and edges classed as core, peripheral, or feeder. NBS identified one subnetwork with reduced structural connectivity in CHD infants involving basal ganglia, amygdala, hippocampus, cerebellum, vermis, and temporal and parieto-occipital lobe, primarily affecting core nodes and edges. However, we did not find significantly different global network characteristics in CHD neonates. This locally affected sub-network with reduced connectivity could explain, at least in part, the neurodevelopmental impairments associated with CHD.
先天性心脏病（CHD）新生儿的大脑发育受损。我们进行了图论分析和基于网络的统计学（NBS）分析，以评估 CHD 婴儿在心脏手术前的全脑网络拓扑结构，并确定连接改变的子网络。作为发展中的人类连接组计划（dHCP）的一部分，58 名患有严重/严重 CHD 的婴儿在手术前和 116 名匹配的健康对照者在 3T 系统上进行了 MRI 检查，并获得了高角分辨率扩散 MRI（HARDI）。多组织约束球谐分解、解剖约束概率追踪（ACT）和追踪的球谐分解信息滤波（SIFT2）用于构建加权结构网络。评估网络拓扑结构，并使用 NBS 识别 CHD 和对照组之间的结构连接差异。结构网络被分为核心和外围节点，边缘被归类为核心、外围或馈线。NBS 确定了一个在 CHD 婴儿中结构连接减少的子网络，涉及基底节、杏仁核、海马体、小脑、蚓部以及颞叶和顶枕叶，主要影响核心节点和边缘。然而，我们没有发现 CHD 新生儿的全球网络特征有显著差异。这种连接减少的局部影响子网络可以至少部分解释与 CHD 相关的神经发育障碍。
