Structural brain changes as biomarkers and outcome predictors in patients with late-life depression: a cross-sectional and prospective study.

Structural brain changes as biomarkers and outcome predictors in patients with late-life depression: a cross-sectional and prospective study.
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结构性大脑随着生物标志物和晚期抑郁症患者的结果预测因子而变化:一项横断面和前瞻性研究。

DOI:
10.1371/journal.pone.0080049
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发表时间:
2013
期刊:
影响因子:
3.7
通讯作者:
Bottino CM
Bottino CM
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Ribeiz SR;Duran F;Oliveira MC;Bezerra D;Castro CC;Steffens DC;Busatto Filho G;Bottino CM

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老年抑郁症患者灰质结构变化与治疗反应之间的关系仍然是一个耐人寻味的研究领域。这项磁共振成像(MRI)研究比较了患有和不患有严重抑郁症的老年人的基线灰质体积(根据DSM-IV-TR标准),并评估了其与抗抑郁药物治疗反应的关系。脑MRI扫描使用统计参数图和基于体素的形态计量学进行处理。样本包括30名抑郁症患者和22名健康对照。我们发现,与对照组相比,患者双侧眶前叶皮质的体积显著减少。根据抗抑郁药物治疗后的缓解情况,将患者分为缓解和未缓解两组。与对照组相比,缓解组患者双侧眶前叶皮质和右侧颞叶中部的另一簇的体积减小。与对照组相比,未缓解的患者双侧眼眶额叶皮质的体积缩小更大。为了研究抗抑郁药物治疗后缓解的预测因素,我们使用了Logistic回归分析。基线简易精神状态检查评分和基线左眶额叶上外侧皮质体积(标准化为总灰质体积)均与缓解状态相关。我们的发现支持使用区域性脑萎缩作为抑郁症的潜在生物标记物。此外,基线认知障碍和局部灰质异常可预测老年抑郁症患者的抗抑郁反应。
The relationship between structural changes in grey matter and treatment response in patients with late-life depression remains an intriguing area of research. This magnetic resonance imaging (MRI) study compares the baseline grey matter volume of elderly people with and without major depression (according to the DSM-IV-TR criteria) and assesses its association with antidepressant treatment response. Brain MRI scans were processed using statistical parametric mapping and voxel-based morphometry. The sample consisted of 30 patients with depression and 22 healthy controls. We found a significant volumetric reduction in the orbitofrontal cortex bilaterally in patients in comparison with controls. According to their remission status after antidepressant treatment, patients were classified as remitted or not remitted. Compared with controls, remitted patients showed a volumetric reduction in the orbitofrontal cortex bilaterally and in another cluster in the right middle temporal pole. Non-remitted patients showed an even greater volumetric reduction in the orbitofrontal cortex bilaterally compared with controls. To investigate predictive factors of remission after antidepressant treatment, we used a logistic regression. Both baseline Mini Mental State Examination score and baseline left superior lateral orbitofrontal cortex volume (standardized to the total grey matter volume) were associated with remission status. Our findings support the use of regional brain atrophy as a potential biomarker for depression. In addition, baseline cognitive impairment and regional grey matter abnormalities predict antidepressant response in patients with late-life depression.
DOI: 10.1002/gps.2290
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