Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Nijmegen, the Netherlands.
Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Nijmegen, the Netherlands; Radboud University Nijmegen, Nijmegen, the Netherlands.
Brain Stimul. 2020 May-Jun;13(3):696-704. doi: 10.1016/j.brs.2020.02.020. Epub 2020 Feb 21.
Electroconvulsive therapy (ECT) is the most effective treatment option for major depressive disorder, so understanding whether its clinical effect relates to structural brain changes is vital for current and future antidepressant research.
To determine whether clinical response to ECT is related to structural volumetric changes in the brain as measured by structural magnetic resonance imaging (MRI) and, if so, which regions are related to this clinical effect. We also determine whether a similar model can be used to identify regions associated with electrode placement (unilateral versus bilateral ECT).
Longitudinal MRI and clinical data (Hamilton Depression Rating Scale) was collected from 10 sites as part of the Global ECT-MRI research collaboration (GEMRIC). From 192 subjects, relative changes in 80 (sub)cortical areas were used as potential features for classifying treatment response. We used recursive feature elimination to extract relevant features, which were subsequently used to train a linear classifier. As a validation, the same was done for electrode placement. We report accuracy as well as the structural coefficients of regions included in the discriminative spatial patterns obtained.
A pattern of structural changes in cortical midline, striatal and lateral prefrontal areas discriminates responders from non-responders (75% accuracy, p < 0.001) while left-sided mediotemporal changes discriminate unilateral from bilateral electrode placement (81% accuracy, p < 0.001).
The identification of a multivariate discriminative pattern shows that structural change is relevant for clinical response to ECT, but this pattern does not include mediotemporal regions that have been the focus of electroconvulsive therapy research so far.
电抽搐治疗(ECT)是治疗重度抑郁症最有效的治疗选择,因此了解其临床疗效是否与结构脑变化相关对于当前和未来的抗抑郁研究至关重要。
确定 ECT 的临床反应是否与结构磁共振成像(MRI)测量的脑结构容积变化有关,如果是,哪些区域与这种临床效果有关。我们还确定是否可以使用类似的模型来识别与电极放置相关的区域(单侧与双侧 ECT)。
作为全球 ECT-MRI 研究合作(GEMRIC)的一部分,从 10 个地点收集了纵向 MRI 和临床数据(汉密尔顿抑郁评定量表)。从 192 名受试者中,使用 80 个(亚)皮质区域的相对变化作为分类治疗反应的潜在特征。我们使用递归特征消除来提取相关特征,然后使用这些特征来训练线性分类器。作为验证,同样对电极放置进行了处理。我们报告了准确性以及包含在获得的判别空间模式中的结构系数。
皮质中线、纹状体和外侧前额叶区域的结构变化模式可区分反应者和非反应者(准确率为 75%,p<0.001),而左侧颞中变化可区分单侧与双侧电极放置(准确率为 81%,p<0.001)。
多变量判别模式的识别表明结构变化与 ECT 的临床反应相关,但该模式不包括迄今为止一直是电抽搐治疗研究焦点的颞中区域。