Abnormal white matter structural networks characterize heroin-dependent individuals: a network analysis
Abnormal white matter structural networks characterize heroin-dependent individuals: a network analysis
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异常的白质结构网络是海洛因依赖个体的特征：网络分析
DOI：
10.1111/adb.12234
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发表时间：
2016
影响因子：
3.4
通讯作者：
Huang Ruiwang
中科院分区：
文献类型：
--
作者：
Zhang Ruibin;Jiang Guihua;Tian Junzhang;Qiu Yingwei;Wen Xue;Zalesky Andrew;Li Meng;Ma Xiaofen;Wang Junjing;Li Shumei;Wang Tianyue;Li Changhong;Huang Ruiwang
神经影像学研究表明，药物成瘾与大脑功能连接异常有关。然而，人们对成瘾吸毒者大脑白质（WM）连接的改变知之甚少，而且几乎没有进行研究来检查海洛因依赖者（HDI）大脑白质连接的改变。弥散张量成像 (DTI) 提供了一种绘制体内全脑 WM 连接性的综合技术。在这项研究中，我们从 20 个 HDI 和 18 个健康对照组获取了 DTI 数据集，并使用确定性纤维跟踪方法构建了他们的大脑 WM 结构网络。利用图论分析，我们探索了两组大脑网络的全局和节点拓扑参数，并采用基于网络的统计（NBS）方法来评估区域间 WM 连接的组间差异。统计分析表明，与对照组相比，HDI 的全局效率和网络强度显着增加，但特征路径长度显着减少。我们还发现，在 HDI 中，左前额叶皮质、双侧眶额皮质和左前扣带回的节点效率显着增加。此外，NBS 分析显示，在 HDI 中，显着增加的连接位于旁边缘、眶额、前额和颞叶区域。我们的结果可能反映了 HDIs 中全脑 WM 结构网络的破坏。我们的研究结果表明，绘制大脑 WM 结构网络可能有助于更好地理解海洛因成瘾的神经机制。
Neuroimaging studies suggested that drug addiction is linked to abnormal brain functional connectivity. However, little is known about the alteration of brain white matter (WM) connectivity in addictive drug users and nearly no study has been performed to examine the alterations of brain WM connectivity in heroin‐dependent individuals (HDIs). Diffusion tensor imaging (DTI) offers a comprehensive technique to map the whole brain WM connectivity in vivo. In this study, we acquired DTI datasets from 20 HDIs and 18 healthy controls and constructed their brain WM structural networks using a deterministic fibre tracking approach. Using graph theoretical analysis, we explored the global and nodal topological parameters of brain network for both groups and adopted a network‐based statistic (NBS) approach to assess between‐group differences in inter‐regional WM connections. Statistical analysis indicated the global efficiency and network strength were significantly increased, but the characteristic path length was significantly decreased in the HDIs compared with the controls. We also found that in the HDIs, the nodal efficiency was significantly increased in the left prefrontal cortex, bilateral orbital frontal cortices and left anterior cingulate gyrus. Moreover, the NBS analysis revealed that in the HDIs, the significant increased connections were located in the paralimbic, orbitofrontal, prefrontal and temporal regions. Our results may reflect the disruption of whole brain WM structural networks in the HDIs. Our findings suggest that mapping brain WM structural network may be helpful for better understanding the neuromechanism of heroin addiction.