Department of Medical Imaging, Fuzhou General Hospital, Fuzhou, 350025, Fujian, China.
Department of Medical Imaging, Bengbu Medical College, Bengbu, 233000, Anhui, China.
Eur Radiol. 2017 Oct;27(10):4247-4256. doi: 10.1007/s00330-017-4790-3. Epub 2017 Apr 3.
Type 2 diabetes mellitus (T2DM) increases the risk of brain atrophy and dementia. We aimed to elucidate deep grey matter (GM) structural abnormalities and their relationships with T2DM cognitive deficits by combining region of interest (ROI)-based volumetry, voxel-based morphometry (VBM) and shape analysis.
We recruited 23 T2DM patients and 24 age-matched healthy controls to undergo T1-weighted structural MRI scanning. Images were analysed using the three aforementioned methods to obtain deep GM structural shapes and volumes. Biochemical and cognitive assessments were made and were correlated with the resulting metrics.
Shape analysis revealed that T2DM is associated with focal atrophy in the bilateral caudate head and dorso-medial part of the thalamus. ROI-based volumetry only detected thalamic volume reduction in T2DM when compared to the controls. No significant between-group differences were found by VBM. Furthermore, a worse performance of cognitive processing speed correlated with more severe GM atrophy in the bilateral dorso-medial part of the thalamus. Also, the GM volume in the bilateral dorso-medial part of the thalamus changed negatively with HbA.
Shape analysis is sensitive in identifying T2DM deep GM structural abnormalities and their relationships with cognitive impairments, which may greatly assist in clarifying the neural substrate of T2DM cognitive dysfunction.
• Type 2 diabetes mellitus is accompanied with brain atrophy and cognitive dysfunction • Deep grey matter structures are essential for multiple cognitive processes • Shape analysis revealed local atrophy in the dorso-medial thalamus and caudatum in patients • Dorso-medial thalamic atrophy correlated to cognitive processing speed slowing and high HbA1c. • Shape analysis has advantages in unraveling neural substrates of diabetic cognitive deficits.
2 型糖尿病（T2DM）会增加脑萎缩和痴呆的风险。我们旨在通过结合基于感兴趣区域（ROI）的容积测量、基于体素的形态测量学（VBM）和形状分析，阐明深部灰质（GM）结构异常及其与 T2DM 认知缺陷的关系。
我们招募了 23 名 T2DM 患者和 24 名年龄匹配的健康对照者进行 T1 加权结构 MRI 扫描。使用上述三种方法分析图像，以获得深部 GM 结构形状和体积。进行生化和认知评估，并与得出的指标相关联。
形状分析显示，T2DM 与双侧尾状核头部和丘脑背内侧部分的局灶性萎缩有关。与对照组相比，基于 ROI 的容积测量仅检测到 T2DM 患者的丘脑体积减小。VBM 未发现组间差异。此外，认知处理速度的表现越差，双侧丘脑背内侧部分的 GM 萎缩越严重。此外，双侧丘脑背内侧部分的 GM 体积与 HbA 呈负相关。
形状分析对识别 T2DM 深部 GM 结构异常及其与认知障碍的关系很敏感，这可能有助于阐明 T2DM 认知功能障碍的神经基础。
2 型糖尿病伴有脑萎缩和认知功能障碍。
深部灰质结构对多种认知过程至关重要。
形状分析显示患者丘脑背内侧和尾状核局部萎缩。
丘脑背内侧萎缩与认知处理速度减慢和高 HbA1c 相关。
形状分析在揭示糖尿病认知缺陷的神经基础方面具有优势。
