Cerebellar Microstructural Abnormalities in Obsessive–Compulsive Disorder (Ocd): A Systematic Review of Diffusion Tensor Imaging Studies Publisher Pubmed



Shobeiri P^{1, 2, 3} ; Hosseini Shabanan S⁴ ; Haghshomar M^{2, 5} ; Khanmohammadi S^{1, 3} ; Fazeli S⁴ ; Sotoudeh H⁶ ; Kamali A⁷
Source: Cerebellum Published:2024

Abstract

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. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.