Literature DB >> 28501823

Cerebellar atrophy in neurodegeneration-a meta-analysis.

Helena M Gellersen1, Christine C Guo2, Claire O'Callaghan3,4, Rachel H Tan4,5, Saber Sami6, Michael Hornberger7,8.   

Abstract

INTRODUCTION: 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)).
METHODS: 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.
RESULTS: 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. DISCUSSION: 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. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  DEMENTIA; META-ANALYSIS; MRI

Mesh:

Year:  2017        PMID: 28501823     DOI: 10.1136/jnnp-2017-315607

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  29 in total

1.  Characterization of Cerebellar Atrophy and Resting State Functional Connectivity Patterns in Sporadic Adult-Onset Ataxia of Unknown Etiology (SAOA).

Authors:  Xueyan Jiang; J Faber; I Giordano; J Machts; Ch Kindler; A Dudesek; O Speck; Ch Kamm; E Düzel; F Jessen; A Spottke; St Vielhaber; H Boecker; T Klockgether; L Scheef
Journal:  Cerebellum       Date:  2019-10       Impact factor: 3.847

2.  Precentral degeneration and cerebellar compensation in amyotrophic lateral sclerosis: A multimodal MRI analysis.

Authors:  Ting Qiu; Yuanchao Zhang; Xie Tang; Xiaoping Liu; Yue Wang; Chaoyang Zhou; Chunxia Luo; Jiuquan Zhang
Journal:  Hum Brain Mapp       Date:  2019-04-24       Impact factor: 5.038

3.  Pattern of cerebellar grey matter loss associated with ataxia severity in spinocerebellar ataxias type 3: a multi-voxel pattern analysis.

Authors:  Jianping Hu; Xinyuan Chen; Mengcheng Li; Hao-Ling Xu; Ziqiang Huang; Naping Chen; Yuqing Tu; Qunlin Chen; Shirui Gan; Dairong Cao
Journal:  Brain Imaging Behav       Date:  2021-08-21       Impact factor: 3.978

Review 4.  Cerebellar pathology in motor neuron disease: neuroplasticity and neurodegeneration.

Authors:  Rangariroyashe H Chipika; Grainne Mulkerrin; Pierre-François Pradat; Aizuri Murad; Fabrice Ango; Cédric Raoul; Peter Bede
Journal:  Neural Regen Res       Date:  2022-11       Impact factor: 6.058

5.  Drug Repurposing: A Network-based Approach to Amyotrophic Lateral Sclerosis.

Authors:  Giulia Fiscon; Federica Conte; Susanna Amadio; Cinzia Volonté; Paola Paci
Journal:  Neurotherapeutics       Date:  2021-05-13       Impact factor: 6.088

Review 6.  Revisiting the link between cognitive decline and masticatory dysfunction.

Authors:  Chia-Shu Lin
Journal:  BMC Geriatr       Date:  2018-01-05       Impact factor: 3.921

7.  Patterns of Cerebellar Gray Matter Atrophy Across Alzheimer's Disease Progression.

Authors:  Sofia Toniolo; Laura Serra; Giusy Olivito; Camillo Marra; Marco Bozzali; Mara Cercignani
Journal:  Front Cell Neurosci       Date:  2018-11-20       Impact factor: 5.505

Review 8.  Systematic Review of Different Neuroimaging Correlates in Mild Cognitive Impairment and Alzheimer's Disease.

Authors:  Puneet Talwar; Suman Kushwaha; Monali Chaturvedi; Vidur Mahajan
Journal:  Clin Neuroradiol       Date:  2021-07-23       Impact factor: 3.649

9.  MRI-guided histology of TDP-43 knock-in mice implicates parvalbumin interneuron loss, impaired neurogenesis and aberrant neurodevelopment in amyotrophic lateral sclerosis-frontotemporal dementia.

Authors:  Ziqiang Lin; Eugene Kim; Mohi Ahmed; Gang Han; Camilla Simmons; Yushi Redhead; Jack Bartlett; Luis Emiliano Pena Altamira; Isobel Callaghan; Matthew A White; Nisha Singh; Stephen Sawiak; Tara Spires-Jones; Anthony C Vernon; Michael P Coleman; Jeremy Green; Christopher Henstridge; Jeffrey S Davies; Diana Cash; Jemeen Sreedharan
Journal:  Brain Commun       Date:  2021-05-27

10.  Replicability, Repeatability, and Long-term Reproducibility of Cerebellar Morphometry.

Authors:  Peter Sörös; Louise Wölk; Carsten Bantel; Anja Bräuer; Frank Klawonn; Karsten Witt
Journal:  Cerebellum       Date:  2021-01-09       Impact factor: 3.847

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.