Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Cerebellum. 2024 Apr;23(2):778-801. doi: 10.1007/s12311-023-01573-x. Epub 2023 Jun 8.
Previous neuroimaging studies have suggested that obsessive-compulsive disorder (OCD) is associated with altered resting-state functional connectivity of the cerebellum. In this study, we aimed to describe the most significant and reproducible microstructural abnormalities and cerebellar changes associated with obsessive-compulsive disorder (OCD) using diffusion tensor imaging (DTI) investigations. PubMed and EMBASE were searched for relevant studies using the PRISMA 2020 protocol. A total of 17 publications were chosen for data synthesis after screening titles and abstracts, full-text examination, and executing the inclusion criteria. The patterns of cerebellar white matter (WM) integrity loss, determined by fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) metrics, varied across studies and symptoms. Changes in fractional anisotropy (FA) values were described in six publications, which were decreased in four and increased in two studies. An increase in diffusivity parameters of the cerebellum (i.e., MD, RD, and AD) in OCD patients was reported in four studies. Alterations of the cerebellar connectivity with other brain areas were also detected in three studies. Heterogenous results were found in studies that investigated cerebellar microstructural abnormalities in correlation with symptom dimension or severity. OCD's complex phenomenology may be characterized by changes in cerebellar WM connectivity across wide networks, as shown by DTI studies on OCD patients in both children and adults. Classification features in machine learning and clinical tools for diagnosing OCD and determining the prognosis of the disorder might both benefit from using cerebellar DTI data.
先前的神经影像学研究表明,强迫症(OCD)与小脑静息状态功能连接改变有关。在这项研究中,我们旨在使用弥散张量成像(DTI)研究来描述与强迫症(OCD)相关的最显著和可重复的小脑微观结构异常和变化。我们按照 PRISMA 2020 方案,在 PubMed 和 EMBASE 上搜索了相关研究。在筛选标题和摘要、全文检查和执行纳入标准后,共选择了 17 篇出版物进行数据综合。通过各向异性分数(FA)、平均弥散度(MD)、径向弥散度(RD)和轴向弥散度(AD)指标,确定小脑白质(WM)完整性丧失的模式在不同的研究和症状中存在差异。有 6 篇出版物描述了分数各向异性(FA)值的变化,其中 4 项研究显示 FA 值降低,2 项研究显示 FA 值增加。四项研究报告了 OCD 患者小脑弥散度参数(即 MD、RD 和 AD)的增加。三项研究还检测到小脑与其他脑区连接的改变。在研究小脑微观结构异常与症状维度或严重程度的相关性时,发现了结果不一致的情况。OCD 的复杂表现可能表现为小脑 WM 连接在广泛网络中的改变,这在儿童和成人 OCD 患者的 DTI 研究中得到了证实。基于小脑 DTI 数据的机器学习分类特征和用于诊断 OCD 和确定疾病预后的临床工具可能都将受益。