A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder.

A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder.
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DOI:
10.1016/j.jad.2014.09.028
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发表时间:
2015-02-01
影响因子:
6.6
通讯作者:
Smoski MJ
Smoski MJ
中科院分区:
医学2区
文献类型:
--
作者:
Dichter GS;Gibbs D;Smoski MJ

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静息态功能磁共振成像(fMRI)是重度抑郁症(MDD)治疗反应的有希望的预测指标。使用 PubMed 搜索以英语发表的论文,搜索词如下:抑郁、治疗、静息状态、连通性和功能磁共振成像。介绍了 21 项关于 MDD 静息态 fMRI 与治疗反应之间关系的研究结果,并讨论了常见的发现和主题。在MDD治疗反应研究中使用静息态功能磁共振成像已经获得了许多一致的发现,为理解抗抑郁治疗反应的潜在作用机制提供了基础。其中包括(1)对抗抑郁药物的反应与额叶和边缘脑区域之间功能连接的增加之间的关联,可能导致对处理情绪的神经回路有更大的抑制控制; (2) 在比较治疗抵抗性和治疗敏感患者的研究中视觉识别回路的连通性; (3) 对 TMS 的反应是通过胼胝体下皮质连接来一致预测的; (4)默认模式网络的高连接性和认知控制网络的低连接性区分了治疗抵抗性MDD患者和治疗敏感型MDD患者。研究之间在研究设计和分析策略方面也存在相当大的差异,这使得所有研究之间的直接比较变得困难。研究设计和分析策略的持续标准化以及更大数据集的汇总将使该领域能够更好地阐明重度抑郁症患者治疗反应的潜在作用机制,最终生成算法来预测哪些患者将对哪种抗抑郁药物治疗产生反应。
Resting-state functional magnetic resonance imaging (fMRI) is a promising predictor of treatment response in major depressive disorder (MDD). A search for papers published in English was conducted using PubMed with the following words: depression, treatment, resting-state, connectivity, and fMRI. Findings from 21 studies of relations between resting-state fMRI and treatment response in MDD are presented, and common findings and themes are discussed. The use of resting-state fMRI in research on MDD treatment response has yielded a number of consistent findings that provide a basis for understanding the potential mechanisms of action of antidepressant treatment response. These included (1) associations between response to antidepressant medications and increased functional connectivity between frontal and limbic brain regions, possibly resulting in greater inhibitory control over neural circuits that process emotions; (2) connectivity of visual recognition circuits in studies that compared treatment resistant and treatment sensitive patients; (3) response to TMS was consistently predicted by subcallosal cortex connectivity; and (4) hyperconnectivity of the default mode network and hypoconnectivity of the cognitive control network differentiated treatment-resistant from treatment-sensitive MDD patients. There was also considerable variability between studies with respect to study designs and analytic strategies that made direct comparisons across all studies difficult. Continued standardization of study designs and analytic strategies as well as aggregation of larger datasets will allow the field to better elucidate the potential mechanisms of action of treatment response in patients with MDD to ultimately generate algorithms to predict which patients will response to which antidepressant treatments.
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