Oh Byeong H, Moon Hyeong C, Kim Aryun, Kim Hyeon J, Cheong Chae J, Park Young Seok
Department of Neuroscience, Graduate School, College of Medicine, Chungbuk National University, Cheongju, Republic of Korea.
Department of Neurosurgery, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Acta Radiol Open. 2021 Feb 24;10(2):2058460120988097. doi: 10.1177/2058460120988097. eCollection 2021 Feb.
The pathology of Parkinson's disease leads to morphological changes in brain structure. Currently, the progressive changes in gray matter volume that occur with time and are specific to patients with Parkinson's disease, compared to healthy controls, remain unclear. High-tesla magnetic resonance imaging might be useful in differentiating neurological disorders by brain cortical changes.
We aimed to investigate patterns in gray matter changes in patients with Parkinson's disease by using an automated segmentation method with 7-tesla magnetic resonance imaging.
High-resolution T1-weighted 7 tesla magnetic resonance imaging volumes of 24 hemispheres were acquired from 12 Parkinson's disease patients and 12 age- and sex-matched healthy controls with median ages of 64.5 (range, 41-82) years and 60.5 (range, 25-74) years, respectively. Subgroup analysis was performed according to whether axial motor symptoms were present in the Parkinson's disease patients. Cortical volume, cortical thickness, and subcortical volume were measured using a high-resolution image processing technique based on the Desikan-Killiany-Tourville atlas and an automated segmentation method (FreeSurfer version 6.0).
After cortical reconstruction, in 7 tesla magnetic resonance imaging volume segmental analysis, compared with the healthy controls, the Parkinson's disease patients showed global cortical atrophy, mostly in the prefrontal area (rostral middle frontal, superior frontal, inferior parietal lobule, medial orbitofrontal, rostral anterior cingulate area), and subcortical volume atrophy in limbic/paralimbic areas (fusiform, hippocampus, amygdala).
We first demonstrated that 7 tesla magnetic resonance imaging detects structural abnormalities in Parkinson's disease patients compared to healthy controls using an automated segmentation method. Compared with the healthy controls, the Parkinson's disease patients showed global prefrontal cortical atrophy and hippocampal area atrophy.
帕金森病的病理改变会导致脑结构的形态变化。目前，与健康对照相比，帕金森病患者随时间出现的灰质体积的渐进性变化尚不明确。高场强磁共振成像可能有助于通过脑皮质变化来鉴别神经疾病。
我们旨在使用7特斯拉磁共振成像的自动分割方法来研究帕金森病患者灰质变化的模式。
从12例帕金森病患者和12例年龄及性别匹配的健康对照者中获取了24个半球的高分辨率T1加权7特斯拉磁共振成像容积，帕金森病患者和健康对照者的年龄中位数分别为64.5岁（范围41 - 82岁）和60.5岁（范围25 - 74岁）。根据帕金森病患者是否存在轴性运动症状进行亚组分析。使用基于Desikan-Killiany-Tourville图谱的高分辨率图像处理技术和自动分割方法（FreeSurfer版本6.0）测量皮质体积、皮质厚度和皮质下体积。
在皮质重建后，在7特斯拉磁共振成像容积分段分析中，与健康对照相比，帕金森病患者表现出全脑皮质萎缩，主要位于前额叶区域（额中回前部、额上回、顶下小叶、眶额内侧、前扣带回前部），以及边缘/旁边缘区域（梭状回、海马、杏仁核）的皮质下体积萎缩。
我们首次证明，与健康对照相比，使用自动分割方法的7特斯拉磁共振成像能够检测出帕金森病患者的结构异常。与健康对照相比，帕金森病患者表现出全脑前额叶皮质萎缩和海马区域萎缩。
