已知进行性皮质下变化发生在亨廷顿病(HD)中,遗传性神经退行性疾病.关于HD中全脑灰质变化的发生和内聚性的了解较少。
我们旨在检测灰质结构协方差网络中的网络完整性变化,并检查与临床评估的关系。
显色前HD(n=30)的结构磁共振成像数据,HD患者(n=30)和对照组(n=30)用于基于一种新技术识别十个结构协方差网络,该技术使用灰质的协方差和FSL中的独立成分分析。根据年龄和性别研究群体差异。为了探索我们的方法在检查灰质变化方面是否有效,还进行了基于区域体素的分析.
与对照组相比,显眼前HD和HD患者在两个网络中显示网络完整性下降。一个网络包括尾状核,前扣带回皮质和前扣带回皮质(HD中p<0.001,HD前p=0.003)。另一个网络包含海马体,前置电机,感觉运动,和岛叶皮质(HDp<0.001,HD前p=0.023)。此外,仅在HD患者中,在包括舌回的网络中观察到网络完整性下降,卡内霉素,楔子,和枕骨外侧皮质(p=0.032)。网络完整性的变化与运动和神经心理学评估得分显着相关。在预告片HD中,基于体素的分析显示基底神经节明显的体积损失,但在皮质区域不太突出。
我们的结果表明,结构协方差可能是揭示早期灰质变化的一种敏感方法,特别是对于有预见性的HD。
Progressive subcortical changes are known to occur in Huntington\'s disease (HD), a hereditary neurodegenerative disorder. Less is known about the occurrence and cohesion of whole brain grey matter changes in HD.
We aimed to detect network integrity changes in grey matter structural covariance networks and examined relationships with clinical assessments.
Structural magnetic resonance imaging data of premanifest HD (n = 30), HD patients (n = 30) and controls (n = 30) was used to identify ten structural covariance networks based on a novel technique using the co-variation of grey matter with independent component analysis in FSL. Group differences were studied controlling for age and gender. To explore whether our approach is effective in examining grey matter changes, regional voxel-based analysis was additionally performed.
Premanifest HD and HD patients showed decreased network integrity in two networks compared to controls. One network included the caudate nucleus, precuneous and anterior cingulate cortex (in HD p < 0.001, in pre-HD p = 0.003). One other network contained the hippocampus, premotor, sensorimotor, and insular cortices (in HD p < 0.001, in pre-HD p = 0.023). Additionally, in HD patients only, decreased network integrity was observed in a network including the lingual gyrus, intracalcarine, cuneal, and lateral occipital cortices (p = 0.032). Changes in network integrity were significantly associated with scores of motor and neuropsychological assessments. In premanifest HD, voxel-based analyses showed pronounced volume loss in the basal ganglia, but less prominent in cortical regions.
Our results suggest that structural covariance might be a sensitive approach to reveal early grey matter changes, especially for premanifest HD.