Using network analysis to explore cognitive domains in patients with unipolar versus bipolar depression: a prospective naturalistic study
Using network analysis to explore cognitive domains in patients with unipolar versus bipolar depression: a prospective naturalistic study
复制标题
DOI：
10.1017/s1092852919000968
复制
发表时间：
2020-06-01
期刊：
影响因子：
3.3
通讯作者：
Vigano, Caterina Adele
中科院分区：
文献类型：
--
作者：
Galimberti, Cesare;Bosi, Monica Francesca;Vigano, Caterina Adele
Objective.尽管越来越多的证据表明，在认知功能领域的情绪障碍，神经认知的单极性和双极性抑郁症患者的档案仍然需要进一步的特点。在这项研究中，我们应用了网络分析，假设这种方法可以从认知的角度突出重性抑郁症（MDD）和双相情感障碍（BD）之间的差异。方法.通过蒙特利尔认知评估（莫卡）对109例患者（72例单相抑郁症和37例双相抑郁症门诊患者）的认知表现进行评估，并收集一系列临床变量。使用非参数检验对MDD和BD患者之间的认知表现差异进行了检验。此外，一个网络图表示莫卡域作为节点和域之间的斯皮尔曼的rho相关系数作为边缘构造为每个组。结果抑郁症患者和抑郁障碍患者在抑郁期间均存在轻度认知功能障碍。两组在整体认知表现和单个领域方面没有统计学显著差异。尽管如此，网络分析指标显示了MDD与BD患者的记忆和执行功能障碍的不同作用：特别是，MDD网络比BD网络更紧密地相互连接，并且记忆是MDD中具有最高介数和最高接近中心性的节点，而执行功能在BD中更重要。结论.从网络分析的角度来看，记忆障碍在单相抑郁症患者的认知障碍中发挥着核心作用，而执行功能障碍在双相抑郁症中似乎更重要。需要进一步的研究来证实我们的结果。
Objective. Despite growing evidence in the field of cognitive function in mood disorders, the neurocognitive profiles of patients with unipolar and bipolar depression still need further characterization. In this study, we applied network analysis, hypothesizing this approach could highlight differences between major depressive disorder (MDD) and bipolar disorder (BD) from a cognitive perspective. Methods. The cognitive performance of 109 patients (72 unipolar and 37 bipolar depressed outpatients) was assessed through the Montreal Cognitive Assessment (MoCA), and a series of clinical variables were collected. Differences in cognitive performance between MDD and BD patients were tested using non-parametric tests. Moreover, a network graph representing MoCA domains as nodes and Spearman's rho correlation coefficients between the domains as edges was constructed for each group. Results. The presence of mild cognitive impairment was observed in both MDD and BD patients during depression. No statistical significant difference was found between the two groups in terms of overall cognitive performance and across single domains. Nonetheless, network analytic metrics demonstrated different roles of memory and executive dysfunction in MDD versus BD patients: in particular, MDD network was more densely interconnected than BD network, and memory was the node with the highest betweenness and closeness centrality in MDD, while executive function was more central in BD. Conclusions. From a network analytic perspective, memory impairment displays a central role in the cognitive impairment of patients with unipolar depression, whereas executive dysfunction appears to be more central in bipolar depression. Further research is warranted to confirm our results.