Medical Imaging Department, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China.
J Psychiatr Res. 2019 Mar;110:172-178. doi: 10.1016/j.jpsychires.2019.01.005. Epub 2019 Jan 9.
Previous studies indicate that major depressive disorder (MDD) can profoundly modify the visual cortices as well as the visuo-attentional systems of brain. However, little is known on the specific pattern of the whole-network-level abnormalities. In this study, resting-state functional magnetic resonance imaging data were collected from 159 participants, including 86 medication-free MDD patients and 73 matched healthy controls. The dorsal/ventral visual networks were defined based on our previously published brain coordinates from activation likelihood estimation analyses. The static and dynamic network properties were respectively calculated and compared between MDD and control groups. Moreover, the inter-network connectivities quantified using the multivariate distance correlation between the dorsal attention network (DAN) and the two visual networks were also analyzed. Results indicated that both of the two visual networks in MDD were found with significantly increased clustering coefficient (dorsal: p = 0.002; ventral: p = 0.004) and higher small-worldness (dorsal: p = 0.001; ventral: p = 0.002) as compared with control group. A higher mean variability of dynamic functional connectivity was found in both two networks in MDDs (dorsal: p < 0.001; ventral: p = 0.001). Moreover, the two visual networks in MDD group showed decreased inter-network connectivities to DAN (dorsal: p = 0.004; ventral: p = 0.013). Taken together, these results may support that the ventral and dorsal visual systems under the pathological effect of depression are possibly characterized by a status of increased autonomy, i.e., a more optimal, economical, and efficient intra-network organization combining with increased independency and receiving less outside regulation from attention network, thus indicating the increased functional role of the brain visual systems in MDD.
先前的研究表明,重度抑郁症(MDD)可深刻改变大脑的视觉皮质和视注意系统。然而,人们对整个网络水平异常的具体模式知之甚少。在这项研究中,我们从 159 名参与者中收集了静息态功能磁共振成像数据,其中包括 86 名未用药的 MDD 患者和 73 名匹配的健康对照者。根据我们之前基于激活似然估计分析的大脑坐标,定义了背/腹视觉网络。分别计算并比较了 MDD 组和对照组的静息态和动态网络特征。此外,还使用背侧注意网络(DAN)与两个视觉网络之间的多元距离相关来量化网络间连接性。结果表明,与对照组相比,MDD 患者的两个视觉网络的聚类系数均显著增加(背侧:p=0.002;腹侧:p=0.004),小世界指数也更高(背侧:p=0.001;腹侧:p=0.002)。MDD 患者的两个网络的动态功能连接的平均变异性更高(背侧:p<0.001;腹侧:p=0.001)。此外,MDD 组的两个视觉网络与 DAN 的网络间连接性降低(背侧:p=0.004;腹侧:p=0.013)。总之,这些结果可能支持在抑郁的病理影响下,腹侧和背侧视觉系统可能具有更高自主性的状态,即具有更优化、经济和有效的内部网络组织,同时具有更高的独立性,从注意力网络接收的外部调节减少,从而表明大脑视觉系统在 MDD 中的功能作用增加。