Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Mental Health Program, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
J Neurol Neurosurg Psychiatry. 2017 Sep;88(9):780-788. doi: 10.1136/jnnp-2017-315607. Epub 2017 May 13.
The cerebellum has strong cortical and subcortical connectivity, but is rarely taken into account for clinical diagnosis in many neurodegenerative conditions, particularly in the absence of clinical ataxia. The current meta-analysis aims to assess patterns of cerebellar grey matter atrophy in seven neurodegenerative conditions (Alzheimer's disease (AD), Parkinson's disease (PD) and Huntington's disease (HD), frontotemporal dementia (FTD), amyotrophic lateral sclerosis (ALS), multiple system atrophy (MSA), progressive supranuclear palsy (MSP)).
We carried out a systematic search in PubMed (any date: 14 July 2016) and a hand search of references from pertinent articles according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The authors were contacted to provide missing coordinate data. Peer-reviewed studies with direct comparison of patient and control groups, and availability of coordinate data of grey matter cerebellar atrophy in patients were included. These coordinates were used in an anatomical likelihood estimation meta-analysis.
Across 54 studies, clusters of cerebellar atrophy were found for AD, ALS, FTD, MSA, and PSP. Atrophy patterns were largely disease-specific, with overlap in certain areas of the cerebellar hemisphere, which showed marked atrophy in AD, ALS, FTD and PSP (Crus I/II), and MSA and PSP (lobules I-IV), respectively. Atrophy colocated with cerebellar areas implicated for motor (PSP, MSA) or cognitive symptoms (FTD, ALS, PSP) in the diseases.
Our findings suggest that cerebellar changes are largely disease-specific and correspond to cortical or subcortical changes in neurodegenerative conditions. High clinical variability in PD and HD samples may explain the absence of findings for consistent grey matter loss across studies. Our results have clinical implications for diagnosis and cerebellar neuroimaging referencing approaches.
小脑具有强大的皮质和皮质下连接,但在许多神经退行性疾病的临床诊断中很少考虑到,特别是在没有临床共济失调的情况下。本meta 分析旨在评估七种神经退行性疾病(阿尔茨海默病(AD)、帕金森病(PD)和亨廷顿病(HD)、额颞叶痴呆(FTD)、肌萎缩侧索硬化症(ALS)、多系统萎缩症(MSA)、进行性核上性麻痹症(PSP))的小脑灰质萎缩模式。
我们根据系统评价和荟萃分析的首选报告项目(PRISMA)指南,在 PubMed 中进行了系统搜索(任何日期:2016 年 7 月 14 日),并对手头文章的参考文献进行了手工搜索。我们联系了作者以提供缺失的坐标数据。纳入了直接比较患者和对照组且患者小脑灰质萎缩坐标数据可用的同行评审研究。这些坐标用于解剖似然估计荟萃分析。
在 54 项研究中,发现 AD、ALS、FTD、MSA 和 PSP 存在小脑萎缩的聚类。萎缩模式在很大程度上是疾病特异性的,小脑半球的某些区域存在重叠,这些区域在 AD、ALS、FTD 和 PSP 中表现出明显的萎缩(Crus I/II),而 MSA 和 PSP 则分别在小脑叶 I-IV 中表现出明显的萎缩。萎缩与疾病中涉及运动(PSP、MSA)或认知症状(FTD、ALS、PSP)的小脑区域相对应。
我们的发现表明,小脑变化在很大程度上是疾病特异性的,与神经退行性疾病中的皮质或皮质下变化相对应。PD 和 HD 样本的临床变异性较大,可能解释了在不同研究中没有发现一致的灰质损失的原因。我们的结果对诊断和小脑神经影像学参考方法具有临床意义。