Frydman Ilana, de Salles Andrade Juliana B, Vigne Paula, Fontenelle Leonardo F
Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
D'Or Institute for Research and Education, Rio de Janeiro, Brazil.
Curr Psychiatry Rep. 2016 Oct;18(10):90. doi: 10.1007/s11920-016-0729-7.
In this integrative review, we discuss findings supporting the use neuroimaging biomarkers in the diagnosis and treatment of obsessive-compulsive disorder (OCD). To do so, we have selected the most recent studies that attempted to identify the underlying pathogenic process associated with OCD and whether they provide useful information to predict clinical features, natural history or treatment responses. Studies using functional magnetic resonance (fMRI), voxel-based morphometry (VBM), diffusion tensor imaging (DTI) and proton magnetic resonance spectroscopy (1H MRS) in OCD patients are generally supportive of an expanded version of the earlier cortico-striatal-thalamus-cortical (CSTC) model of OCD. Although it is still unclear whether this information will be incorporated into the daily clinical practice (due to current conceptual approaches to mental illness), statistical techniques, such as pattern recognition methods, appear promising in identifying OCD patients and predicting their outcomes.
在本综合综述中,我们讨论了支持使用神经影像学生物标志物来诊断和治疗强迫症(OCD)的研究结果。为此,我们挑选了最近的一些研究,这些研究试图确定与强迫症相关的潜在致病过程,以及它们是否能提供有用信息来预测临床特征、自然病程或治疗反应。在强迫症患者中使用功能磁共振成像(fMRI)、基于体素的形态测量学(VBM)、扩散张量成像(DTI)和质子磁共振波谱(1H MRS)的研究,总体上支持早期强迫症皮质-纹状体-丘脑-皮质(CSTC)模型的扩展版本。尽管目前尚不清楚这些信息是否会被纳入日常临床实践(由于目前对精神疾病的概念性方法),但诸如模式识别方法等统计技术,在识别强迫症患者及其预后预测方面似乎很有前景。