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静息态忧郁型和非忧郁型重度抑郁症患者默认模式网络同质性异常。

Abnormal Default-Mode Network Homogeneity in Melancholic and Nonmelancholic Major Depressive Disorder at Rest.

机构信息

National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011 Hunan, China.

Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300000, China.

出版信息

Neural Plast. 2021 Apr 26;2021:6653309. doi: 10.1155/2021/6653309. eCollection 2021.

Abstract

BACKGROUND

Melancholic depression has been assumed as a severe type of major depressive disorder (MDD). We aimed to explore if there were some distinctive alterations in melancholic MDD and whether the alterations could be used to discriminate the melancholic MDD and nonmelancholic MDD.

METHODS

Thirty-one outpatients with melancholic MDD, thirty-three outpatients with nonmelancholic MDD, and thirty-two age- and gender-matched healthy controls were recruited. All participants were scanned by resting-state functional magnetic resonance imaging (fMRI). Imaging data were analyzed with the network homogeneity (NH) and support vector machine (SVM) methods.

RESULTS

Both patient groups exhibited increased NH in the right PCC/precuneus and right angular gyrus and decreased NH in the right middle temporal gyrus compared with healthy controls. Compared with nonmelancholic patients and healthy controls, melancholic patients exhibited significantly increased NH in the bilateral superior medial frontal gyrus and decreased NH in the left inferior temporal gyrus. But merely for melancholic patients, the NH of the right middle temporal gyrus was negatively correlated with TEPS total and contextual anticipatory scores. SVM analysis showed that a combination of NH values in the left superior medial frontal gyrus and left inferior temporal gyrus could distinguish melancholic patients from nonmelancholic patients with accuracy, sensitivity, and specificity of 79.66% (47/59), 70.97% (22/31), and 89.29%(25/28), respectively.

CONCLUSION

Our findings showed distinctive network homogeneity alterations in melancholic MDD which may be potential imaging markers to distinguish melancholic MDD and nonmelancholic MDD.

摘要

背景

忧郁性抑郁症被认为是一种严重的重性抑郁障碍(MDD)。我们旨在探讨是否存在忧郁性 MDD 的一些独特改变,以及这些改变是否可以用于区分忧郁性 MDD 和非忧郁性 MDD。

方法

招募了 31 名忧郁性 MDD 门诊患者、33 名非忧郁性 MDD 门诊患者和 32 名年龄和性别匹配的健康对照者。所有参与者均接受静息态功能磁共振成像(fMRI)扫描。使用网络同质性(NH)和支持向量机(SVM)方法分析成像数据。

结果

与健康对照组相比,两组患者右侧 PCC/precuneus 和右侧角回的 NH 均增加,右侧颞中回的 NH 均降低。与非忧郁性患者和健康对照组相比,忧郁性患者双侧额上内侧回的 NH 明显增加,左侧颞下回的 NH 降低。但仅忧郁性患者的右颞中回 NH 与 TEPS 总分和情境预期得分呈负相关。SVM 分析表明,左侧额上内侧回和左侧颞下回的 NH 值组合可以以 79.66%(47/59)的准确率、70.97%(22/31)的灵敏度和 89.29%(25/28)的特异性区分忧郁性和非忧郁性 MDD 患者。

结论

我们的研究结果显示,忧郁性 MDD 存在独特的网络同质性改变,可能是区分忧郁性 MDD 和非忧郁性 MDD 的潜在影像学标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1fa/8096549/827baa371d0f/NP2021-6653309.001.jpg

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