Li Wenjun, Wang Yang, Ward B Douglas, Antuono Piero G, Li Shi-Jiang, Goveas Joseph S
Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, WI, USA; Department of Biophysics, Medical College of Wisconsin, WI, USA.
Department of Radiology, Medical College of Wisconsin, WI, USA.
J Psychiatr Res. 2017 Apr;87:71-80. doi: 10.1016/j.jpsychires.2016.12.011. Epub 2016 Dec 12.
Prior studies have demonstrated dysfunctions within the core neurocognitive networks (the executive control [ECN], default mode [DMN] and salience [SN] networks) in late-life depression (LLD). Whether inter-network dysfunctional connectivity is present in LLD, and if such disruptions are associated with core symptom dimensions is unknown. A cross-sectional resting-state functional connectivity magnetic resonance imaging investigation was conducted of LLD (n = 39) and age- and gender-equated healthy comparison (HC) (n = 29) participants. Dual regression independent component analysis approach was used to identify components that represented the ECN, DMN and SN. The intrinsic inter-network connectivity was compared between LLD and HC participants and the relationship of inter-network connectivity abnormalities with dimensional measures was examined. Relative to HC participants, LLD subjects showed decreased inter-network connectivity between the bilateral ECN and default mode subcortical (thalamus, basal ganglia and ventral striatum) networks, and the left ECN and SN insula component; and increased inter-network connections between the left ECN and posterior DMN and salience (dorsal anterior cingulate) network components. Distinct inter-network connectivity abnormalities correlated with depression and anxiety severity, and executive dysfunction in LLD participants. LLD subjects also showed pronounced intra-network connectivity differences within the ECN, whereas fewer but significant DMN and SN disruptions were also detected. Investigating the intrinsic inter-network functional connectivity could provide a mechanistic framework to better understand the neural basis that underlies core symptom dimensions in LLD. Inter-network connectivity measures have the potential to be neuroimaging biomarkers of symptom dimensions comprising LLD, and may assist in developing symptom-specific treatment algorithms.
先前的研究已证明，老年期抑郁症（LLD）患者的核心神经认知网络（执行控制网络[ECN]、默认模式网络[DMN]和突显网络[SN]）存在功能障碍。LLD患者是否存在网络间功能连接障碍，以及这种破坏是否与核心症状维度相关尚不清楚。我们对39例LLD患者和29例年龄及性别匹配的健康对照（HC）参与者进行了一项横断面静息态功能连接磁共振成像研究。采用双回归独立成分分析方法识别代表ECN、DMN和SN的成分。比较了LLD患者和HC参与者之间的内在网络间连接性，并研究了网络间连接异常与维度测量值之间的关系。与HC参与者相比，LLD患者双侧ECN与默认模式皮层下（丘脑、基底神经节和腹侧纹状体）网络之间以及左侧ECN与SN脑岛成分之间的网络间连接性降低；左侧ECN与后DMN和突显（背侧前扣带回）网络成分之间的网络间连接增加。不同的网络间连接异常与LLD患者的抑郁和焦虑严重程度以及执行功能障碍相关。LLD患者在ECN内也表现出明显的网络内连接差异，同时也检测到较少但显著的DMN和SN破坏。研究内在网络间功能连接性可为更好地理解LLD核心症状维度背后的神经基础提供一个机制框架。网络间连接测量有可能成为构成LLD症状维度的神经影像学生物标志物，并可能有助于开发针对症状的治疗算法。
