Dichter Gabriel S, Gibbs Devin, Smoski Moria J
Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA.
Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599, USA.
J Affect Disord. 2015 Feb 1;172:8-17. doi: 10.1016/j.jad.2014.09.028. Epub 2014 Sep 26.
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 respond to which antidepressant treatments.
静息态功能磁共振成像(fMRI)是重度抑郁症(MDD)治疗反应的一种有前景的预测指标。
使用PubMed以以下关键词搜索英文发表的论文:抑郁症、治疗、静息态、连通性和fMRI。呈现了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fMRI已经产生了一些一致的发现,为理解抗抑郁治疗反应的潜在作用机制提供了基础。这些发现包括:(1)对抗抑郁药物的反应与额叶和边缘脑区之间功能连通性增加之间的关联,这可能导致对处理情绪的神经回路有更强的抑制控制;(2)在比较治疗抵抗和治疗敏感患者的研究中视觉识别回路的连通性;(3)胼胝体下皮质连通性一直可以预测对经颅磁刺激(TMS)的反应;(4)默认模式网络的高连通性和认知控制网络的低连通性区分了治疗抵抗和治疗敏感的MDD患者。
研究设计和分析策略在各研究之间也存在相当大的差异,这使得对所有研究进行直接比较变得困难。
持续对研究设计和分析策略进行标准化以及汇总更大的数据集将使该领域能够更好地阐明MDD患者治疗反应的潜在作用机制,最终生成预测哪些患者对哪种抗抑郁治疗有反应的算法。