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海马和旁海马体积和功能可预测重度抑郁症患者的抗抑郁反应:一项多模态神经影像学研究。

Hippocampal and parahippocampal volume and function predict antidepressant response in patients with major depression: A multimodal neuroimaging study.

机构信息

Vita-Salute San Raffaele University, Milano, Italy.

Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.

出版信息

J Psychopharmacol. 2023 Nov;37(11):1070-1081. doi: 10.1177/02698811231190859. Epub 2023 Aug 17.

Abstract

BACKGROUND

For many patients with major depressive disorder (MDD) adequate treatment remains elusive. Neuroimaging techniques received attention for their potential use in guiding and predicting response, but were rarely investigated in real-world psychiatric settings.

AIMS

To identify structural and functional Magnetic Resonance Imaging (MRI) biomarkers associated with antidepressant response in a real-world clinical sample.

METHODS

We studied 100 MDD inpatients admitted to our psychiatric ward, treated with various antidepressants upon clinical need. Hamilton Depression Rating Scale percentage decrease from admission to discharge was used as a measure of response. All patients underwent 3.0 T MRI scanning. Grey matter (GM) volumes were investigated both in a voxel-based morphometry (VBM), and in a regions of interest (ROI) analysis. In a subsample of patients, functional resting-state connectivity patterns were also explored.

RESULTS

In the VBM analysis, worse response was associated to lower GM volumes in two clusters, encompassing the left hippocampus and parahippocampal gyrus, and the right superior and middle temporal gyrus. Investigating ROIs, lower bilateral hippocampi and amygdalae volumes predicted worse treatment outcomes. Functional connectivity in the right temporal and parahippocampal gyrus was also associated to response.

CONCLUSION

Our results expand existing literature on the relationship between the structure and function of several brain regions and treatment response in MDD. While we are still far from routine use of MRI biomarkers in clinical practice, we confirm a possible role of these techniques in guiding treatment choices and predicting their efficacy.

摘要

背景

对于许多患有重度抑郁症(MDD)的患者来说,有效的治疗方法仍然难以捉摸。神经影像学技术因其在指导和预测反应方面的潜在用途而受到关注,但在现实的精神科环境中很少被研究。

目的

在现实临床样本中确定与抗抑郁反应相关的结构和功能磁共振成像(MRI)生物标志物。

方法

我们研究了 100 名入住我院精神科病房的 MDD 住院患者,根据临床需要使用各种抗抑郁药治疗。入院至出院时汉密尔顿抑郁评定量表(Hamilton Depression Rating Scale,HDRS)的百分比下降被用作反应的衡量标准。所有患者均接受 3.0T MRI 扫描。我们分别在基于体素形态计量学(voxel-based morphometry,VBM)和感兴趣区域(region of interest,ROI)分析中研究了灰质(grey matter,GM)体积。在患者的亚组中,还探索了功能静息状态连接模式。

结果

在 VBM 分析中,反应较差与两个包含左侧海马和海马旁回以及右侧颞上和中回的 GM 体积较低有关。在 ROI 分析中,双侧海马和杏仁核体积较小预测治疗效果较差。右侧颞叶和海马旁回的功能连接也与反应相关。

结论

我们的研究结果扩展了现有的关于几个脑区的结构和功能与 MDD 治疗反应之间关系的文献。虽然我们离在临床实践中常规使用 MRI 生物标志物还有很长的路要走,但我们确认这些技术在指导治疗选择和预测其疗效方面可能具有一定作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/10647896/568de4a8285c/10.1177_02698811231190859-fig1.jpg

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