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从缓解期的双相障碍中鉴别出重度抑郁症:一项脑结构网络分析。

Distinguishing major depressive disorder from bipolar disorder in remission: A brain structural network analysis.

机构信息

Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China.

Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China; Department of Radiology, The First Hospital of China Medical University, Shenyang, China.

出版信息

J Affect Disord. 2022 Dec 15;319:8-14. doi: 10.1016/j.jad.2022.08.102. Epub 2022 Sep 2.

DOI:10.1016/j.jad.2022.08.102
PMID:36058360
Abstract

BACKGROUND

It is challenging to differentiate major depressive disorder (MDD) from bipolar disorder (BD) in depression and remission. To exclude the potential influence of depressive episodes, we compared the white matter (WM) network between MDD and BD patients in remission to find disease-specific alterations in MDD and BD, and then distinguish these two affective disorders.

METHODS

We recruited 33 patients with remitted MDD (rMDD), 54 patients with remitted BD (rBD), and 60 healthy controls (HCs). Diffusion tensor imaging and high-resolution 3D T1-weighted image were acquired. Global and nodal topological parameters were used to depict the alterations of the whole-brain WM network.

RESULTS

We found that rMDD displayed increased global network efficiency (E) and local network efficiency (E) compared with HCs, whereas we found no significance between rBD and HCs. Compared with rBD and HCs, patients in the rMDD group showed increased nodal degree and nodal efficiency, and decreased nodal shortest path length in the four cerebral regions, including the right calcarine fissure (CAL.R), right cuneus (CUN.R), left lingual gyrus (LING.L), and left middle occipital gyrus (MOG.L). We did not find any rBD specific changes of nodal topological metrics.

LIMITATIONS

The main limitation is the possible effects of medication and BD subtypes on the results.

CONCLUSIONS

Our findings indicate that rMDD exhibited elevated global properties compared with HCs group, and increased nodal properties in the CAL.R, CUN.R, LING.L, and MOG.L specifically compared with rBD and HCs, which may underlie the distinction of the two affective disorders in remission.

摘要

背景

在抑郁和缓解期,区分重度抑郁症(MDD)和双相障碍(BD)具有挑战性。为了排除抑郁发作的潜在影响,我们比较了缓解期 MDD 和 BD 患者的白质(WM)网络,以找到 MDD 和 BD 的特定疾病改变,然后区分这两种情感障碍。

方法

我们招募了 33 名缓解期 MDD 患者(rMDD)、54 名缓解期 BD 患者(rBD)和 60 名健康对照者(HCs)。采集弥散张量成像和高分辨率 3D T1 加权图像。使用全局和节点拓扑参数来描绘整个大脑 WM 网络的变化。

结果

我们发现 rMDD 与 HCs 相比,全局网络效率(E)和局部网络效率(E)增加,而 rBD 与 HCs 之间无显著差异。与 rBD 和 HCs 相比,rMDD 组患者在四个脑区(包括右侧距状裂(CAL.R)、右侧楔前叶(CUN.R)、左侧舌回(LING.L)和左侧中枕叶(MOG.L))中,节点度和节点效率增加,节点最短路径长度降低。我们没有发现任何 rBD 特定的节点拓扑度量变化。

局限性

主要限制是药物和 BD 亚型对结果的可能影响。

结论

我们的研究结果表明,与 HCs 组相比,rMDD 表现出更高的全局属性,与 rBD 和 HCs 相比,CAL.R、CUN.R、LING.L 和 MOG.L 特定区域的节点属性增加,这可能是缓解期两种情感障碍区分的基础。

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