Department of Psychiatry, Hamidiye Faculty of Medicine, Saglik Bilimleri University, Istanbul, Turkiye; Department of Psychiatry, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkiye.
Department of Psychiatry, Faculty of Medicine, Firat University, Elazig, Turkiye; Department of Psychiatry, Erenkoy Psychiatry and Neurology Training and Research Hospital, Istanbul, Turkiye.
Psychiatry Res Neuroimaging. 2023 Sep;334:111695. doi: 10.1016/j.pscychresns.2023.111695. Epub 2023 Aug 2.
Neurobiological foundations of delusional disorder (DD) have been studied less with neuroimaging techniques when compared to other psychotic disorders. The present study aimed to delineate the neural substrates of DD by investigating neuroanatomical characteristics of the corpus callosum (CC) with statistical shape analysis (SSA) conducted on magnetic resonance images (MRI). Twenty (female:male=1:1) DSM-5 DD patients and 20 age- and gender-matched healthy individuals were included. High-resolution 3D T1 Turbo Field Echo MRI images were scanned with a 1.5 T MR device. The landmarks that were selected to determine the shape differences in CC were identified based on previous studies. Furthermore, constructed landmarks were determined and employed to better assess regional shape differences. There was no significant difference in the CC area in the mid-sagittal images between the DD patients and controls. However, DD patients exhibited a pattern of structural CC changes in various regions. The study findings emphasizes the variable subregional nature of CC in DD patients. Future SSA studies with larger samples could shed further light on DD etiology, diagnosis, classification and treatment options.
与其他精神病性障碍相比，神经影像学技术对妄想障碍（DD）的神经生物学基础的研究较少。本研究旨在通过对磁共振成像（MRI）进行统计形状分析（SSA）来研究胼胝体（CC）的神经解剖学特征，从而描绘 DD 的神经基础。纳入了 20 名（男女比例为 1:1）符合 DSM-5 标准的 DD 患者和 20 名年龄和性别匹配的健康对照者。使用 1.5T MR 设备对高分辨率 3D T1 Turbo Field Echo MRI 图像进行扫描。基于先前的研究，选择确定 CC 形状差异的标志点。此外，还确定了构建的标志点，以更好地评估区域形状差异。DD 患者与对照组在 CC 中部矢状图像的 CC 面积上没有显著差异。然而，DD 患者在多个区域表现出 CC 结构变化的模式。研究结果强调了 CC 在 DD 患者中的可变亚区性质。未来的 SSA 研究可能会对 DD 的病因、诊断、分类和治疗选择提供进一步的启示。
