Chen Longmao, Shao Ziqiang, Lei Wangrui, Xu Yan, Liu Shuang, Zhang Min, Wang Shicong, Wen Xinwen, Yu Dahua, Yuan Kai
School of Life Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi, 710126, People's Republic of China.
Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China.
Brain Imaging Behav. 2022 Apr;16(2):672-679. doi: 10.1007/s11682-021-00540-6. Epub 2021 Sep 14.
To date, our understanding of the role of abnormal hippocampal volume in imaging studies of insomnia disorders (ID) has remained in apparent contradiction. Given that hippocampal function can be mapped to anatomically defined substructures, the hippocampal substructure volume can be examined in detail at present. In this study, we examined the volumes of hippocampal substructures between IDs and healthy controls (HC) to accurately find hippocampal markers of ID. First, we used the automated hippocampal substructure module in FreeSurfer6.0 to inspect T1-weighted magnetic resonance images between 22 IDs and 30 HC. Then, 12 hippocampal substructures were computed. Volumetric assessment was performed at the hippocampal substructure level between groups. Our study revealed significant reduced volume of the bilateral fimbria in IDs compared with HC (p < 0.05/12, Bonferroni corrected), although there was no difference in the total volume of hippocampus. In addition, the correlation analysis showed that the total hippocampal volume of the left hemisphere was negatively correlated with Pittsburgh Sleep Quality Index (PSQI) scores. With regard to hippocampal substructure results, negative correlations were detected between bilateral fimbria volume and clinical variables (i.e., PSQI, SDS, and SAS) in all subjects. Taken together, we revealed marked differences in the volume of the hippocampal substructure between IDs and HC, which provided a more accurate structural imaging marker for the pathological of ID.
迄今为止,我们对异常海马体积在失眠症(ID)影像学研究中的作用的理解仍存在明显矛盾。鉴于海马功能可映射到解剖学定义的子结构,目前可以详细检查海马子结构的体积。在本研究中,我们检查了失眠症患者与健康对照者(HC)之间海马子结构的体积,以准确找到失眠症的海马标志物。首先,我们使用FreeSurfer6.0中的自动海马子结构模块检查了22名失眠症患者和30名健康对照者的T1加权磁共振图像。然后,计算了12个海马子结构。在组间的海马子结构水平上进行了体积评估。我们的研究表明,与健康对照者相比,失眠症患者双侧海马伞的体积显著减小(p < 0.05/12,Bonferroni校正),尽管海马总体积没有差异。此外,相关性分析表明,左半球海马总体积与匹兹堡睡眠质量指数(PSQI)评分呈负相关。关于海马子结构的结果,在所有受试者中,双侧海马伞体积与临床变量(即PSQI、SDS和SAS)之间均检测到负相关。综上所述,我们揭示了失眠症患者与健康对照者之间海马子结构体积的显著差异,这为失眠症的病理学提供了更准确的结构成像标志物。