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心境障碍青少年脑默认模式网络激活与双相指数的相关性。

Correlation of brain default mode network activation with bipolarity index in youth with mood disorders.

机构信息

University of Western Ontario, Schulich School of Medicine and Dentistry, Department of Psychiatry, London, Ontario, Canada.

出版信息

J Affect Disord. 2013 Sep 25;150(3):1174-8. doi: 10.1016/j.jad.2013.05.088. Epub 2013 Jun 24.

DOI:10.1016/j.jad.2013.05.088
PMID:23806586
Abstract

BACKGROUND

Major Depressive Disorder (MDD) and Bipolar Disorder (BD) can be difficult to differentiate, as both feature depressive episodes. Here we have utilized fMRI and a measure of trait bipolarity to examine resting-state functional connectivity of brain activation in the default mode network in youth with MDD and BD to isolate trait-specific patterns.

METHODS

We collected resting-state fMRI scans from thirty youth (15 MDD; 15 BD, Type 1). The Bipolarity Index (BI) was completed by each patient's treating psychiatrist. Independent components analysis was used to extract a default mode network component from each participant, and then multiple regression was used to identify correlations between bipolarity and network activation.

RESULTS

Activation in putamen/claustrum/insula correlated positively with BI; activation in the postcentral gyrus/posterior cingulate gyrus correlated negatively with BI. These correlations did not appear to be driven by movement in the scanner, state depression, gender or lithium use.

LIMITATIONS

There were group differences in state depression and sex that needed to be statistically covaried; differences in medication use existed between the groups; sample size was not large.

CONCLUSIONS

The identification of the putamen/claustrum in our positive correlation may indicate a potential trait marker for the psychomotor activation unique to bipolar mania. The negative correlation in the postcentral gyrus/posterior cingulate suggests that this functional inactivation is more specific to MDD and is consistent with previous research. Ultimately, this approach may help to develop techniques to minimize the current clinical dilemma by facilitating the classification between BD and MDD.

摘要

背景

重度抑郁症(MDD)和双相情感障碍(BD)可能难以区分,因为两者都有抑郁发作的特点。在这里,我们利用功能磁共振成像(fMRI)和一种特质双相性测量方法,来检查 MDD 和 BD 青年的默认模式网络的静息状态功能连接,以分离特质特异性模式。

方法

我们从 30 名青少年(15 名 MDD;15 名 BD,1 型)中收集了静息态 fMRI 扫描。每位患者的主治精神病医生都完成了双相性指数(BI)。使用独立成分分析从每个参与者中提取默认模式网络成分,然后使用多元回归来识别双相性与网络激活之间的相关性。

结果

壳核/屏状核/岛叶的激活与 BI 呈正相关;中央后回/后扣带回的激活与 BI 呈负相关。这些相关性似乎不是由扫描器中的运动、状态抑郁、性别或锂的使用引起的。

局限性

需要对状态抑郁和性别进行统计学协方差,以减少组间差异;组间存在药物使用差异;样本量不大。

结论

我们在正相关中发现的壳核/屏状核可能表明,躁狂症独特的精神运动激活具有潜在的特质标志物。中央后回/后扣带回的负相关表明,这种功能失活更特异于 MDD,与之前的研究一致。最终,这种方法可能有助于通过促进 BD 和 MDD 的分类,来帮助开发技术最小化当前的临床困境。

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