School of Health Sciences, Purdue University, 550 Stadium Mall Dr., West Lafayette, IN 47907, USA; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 University Blvd., Indianapolis, IN 46202, USA.
Department of Radiology, Citigroup Biomedical Imaging Center, Weill Cornell Medicine, 516 E. 72nd St., New York, NY 10021, USA.
Parkinsonism Relat Disord. 2018 Jun;51:85-90. doi: 10.1016/j.parkreldis.2018.03.008. Epub 2018 Mar 10.
Essential tremor (ET) is increasingly recognized as a multi-dimensional disorder with both motor and non-motor features. For this reason, imaging studies are more broadly examining regions outside the cerebellar motor loop. Reliable detection of cerebral gray matter (GM) atrophy requires optimized processing, adapted to high-resolution magnetic resonance imaging (MRI). We investigated cerebral GM volume loss in ET cases using automated segmentation of MRI T1-weighted images.
MRI was acquired on 47 ET cases and 36 controls. Automated segmentation and voxel-wise comparisons of volume were performed using Statistical Parametric Mapping (SPM) software. To improve upon standard protocols, the high-resolution International Consortium for Brain Mapping (ICBM) 2009a atlas and tissue probability maps were used to process each subject image. Group comparisons were performed: all ET vs. Controls, ET with head tremor (ETH) vs. Controls, and severe ET vs. Controls. An analysis of variance (ANOVA) was performed between ET with and without head tremor and controls. Age, sex, and Montreal Cognitive Assessment (MoCA) score were regressed out from each comparison.
We were able to consistently identify regions of cerebral GM volume loss in ET and in ET subgroups in the posterior insula, superior temporal gyri, cingulate cortex, inferior frontal gyri and other occipital and parietal regions. There were no significant increases in GM volume in ET in any comparisons with controls.
This study, which uses improved methodologies, provides evidence that GM volume loss in ET is present beyond the cerebellum, and in fact, is widespread throughout the cerebrum as well.
特发性震颤(ET)越来越被认为是一种具有运动和非运动特征的多维疾病。出于这个原因,影像学研究更广泛地检查了小脑运动回路以外的区域。为了可靠地检测大脑灰质(GM)萎缩,需要优化处理,以适应高分辨率磁共振成像(MRI)。我们使用 MRI T1 加权图像的自动分割研究了 ET 病例的大脑 GM 体积损失。
对 47 例 ET 病例和 36 例对照进行 MRI 采集。使用统计参数映射(SPM)软件对自动分割和体积进行体素比较。为了改进标准方案,使用高分辨率国际脑映射联合会(ICBM)2009a 图谱和组织概率图来处理每个受试者的图像。进行了组间比较:所有 ET 与对照、有头部震颤的 ET(ETH)与对照、严重 ET 与对照。对有和没有头部震颤的 ET 与对照之间进行方差分析(ANOVA)。从每个比较中回归年龄、性别和蒙特利尔认知评估(MoCA)评分。
我们能够一致地识别 ET 和 ET 亚组的大脑 GM 体积损失区域,包括后岛叶、颞上回、扣带回皮质、额下回和其他枕叶和顶叶区域。在与对照的任何比较中,ET 均未出现 GM 体积增加。
本研究使用改进的方法学,提供了证据表明 ET 中的 GM 体积损失不仅存在于小脑之外,而且实际上也广泛存在于大脑中。