Exploring the functional connectome in white matter
Exploring the functional connectome in white matter
复制标题
探索白质中的功能连接组
DOI：
10.1002/hbm.24705
复制
发表时间：
2019-10-15
影响因子：
4.8
通讯作者：
Liao, Wei
中科院分区：
文献类型：
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作者：
Li, Jiao;Biswal, Bharat B.;Liao, Wei
神经科学的一个主要挑战是理解大脑功能是如何从连接体中产生的。目前的大多数方法都集中在量化功能性磁共振成像（fMRI）获得的灰质（GM）信号中的功能连接体，而来自白质（WM）的信号通常被排除为噪声。在这项研究中，我们从一个大队列（n = 488）的WM静息状态血氧水平依赖(BOLD)-fMRI信号中获得了一个功能连接组。WM功能连接体表现出弱小世界拓扑结构和非随机模块性。我们还发现了长期（即超过10个月）的拓扑可靠性，在不同的脑包裹策略、空间距离效应、全局和脑脊液信号回归或不回归中具有拓扑可重复性。此外，小世界与个体的智力值呈正相关（r = 0.17, p（修正）= 0.0009）。目前的研究结果提供了使用WM连接组的初步证据，并提出了在健康个体和临床疾病病例中揭示WM功能信息的额外措施。
A major challenge in neuroscience is understanding how brain function emerges from the connectome. Most current methods have focused on quantifying functional connectomes in gray-matter (GM) signals obtained from functional magnetic resonance imaging (fMRI), while signals from white-matter (WM) have generally been excluded as noise. In this study, we derived a functional connectome from WM resting-state blood-oxygen-level-dependent (BOLD)-fMRI signals from a large cohort (n = 488). The WM functional connectome exhibited weak small-world topology and nonrandom modularity. We also found a long-term (i.e., over 10 months) topological reliability, with topological reproducibility within different brain parcellation strategies, spatial distance effect, global and cerebrospinal fluid signals regression or not. Furthermore, the small-worldness was positively correlated with individuals' intelligence values (r = .17, p(corrected) = .0009). The current findings offer initial evidence using WM connectome and present additional measures by which to uncover WM functional information in both healthy individuals and in cases of clinical disease.