Comparison of grey matter atrophy between patients with neuromyelitis optica and multiple sclerosis: A voxel-based morphometry study

2012 ◽  
Vol 81 (2) ◽  
pp. e110-e114 ◽  
Author(s):  
Yunyun Duan ◽  
Yaou Liu ◽  
Peipeng Liang ◽  
Xiuqin Jia ◽  
Chunshui Yu ◽  
...  
2020 ◽  
Vol 10 (11) ◽  
pp. 798
Author(s):  
Sonika Singh ◽  
Christopher R. Tench ◽  
Radu Tanasescu ◽  
Cris S. Constantinescu

Background: Atrophy of grey matter (GM) is observed in the earliest stages of multiple sclerosis (MS) and is associated with cognitive decline and physical disability. Localised GM atrophy in MS can be explored and better understood using magnetic resonance imaging and voxel-based morphometry (VBM). However, results are difficult to interpret due to methodological differences between studies. Methods: Coordinate-based analysis is a way to find the reliably observable results across multiple independent VBM studies. This work uses coordinate-based meta-analysis, meta-analysis of networks, and meta-regression to summarise the evidence from voxel-based morphometry of regional GM hanges in patients with MS and clinically isolated syndrome (CIS), and whether these measured changes are relatable to clinical features. Results: Thirty-four published articles reporting forty-four independent experiments using VBM for the assessment of GM atrophy between MS or CIS patients and healthy controls were identified. Analysis identified eight clusters of consistent cross-study reporting of localised GM atrophy involving both cortical and subcortical regions. Meta-network analysis identified a network-like pattern indicating that GM loss occurs with some symmetry between hemispheres. Meta-regression analysis indicates a relationship between disease duration or age and the magnitude of reported statistical effect in some deep GM structures. Conclusions: These results suggest consistency in MRI-detectible regional GM loss across multiple MS studies, and the estimated effect sizes and symmetries can help design prospective studies to test specific hypotheses.


2020 ◽  
Vol 39 ◽  
pp. 101899 ◽  
Author(s):  
Anna M. Pietroboni ◽  
Annalisa Colombi ◽  
Tiziana Carandini ◽  
Valeria E. Contarino ◽  
Laura Ghezzi ◽  
...  

2020 ◽  
Vol 13 ◽  
pp. 100244
Author(s):  
Lil Meyer-Arndt ◽  
Stefan Hetzer ◽  
Susanna Asseyer ◽  
Judith Bellmann-Strobl ◽  
Michael Scheel ◽  
...  

2019 ◽  
Vol 74 (10) ◽  
pp. 816.e19-816.e28 ◽  
Author(s):  
F.L. Chiang ◽  
Q. Wang ◽  
F.F. Yu ◽  
R.S. Romero ◽  
S.Y. Huang ◽  
...  

Brain ◽  
2018 ◽  
Vol 141 (6) ◽  
pp. 1580-1583 ◽  
Author(s):  
Bruno Stankoff ◽  
Céline Louapre

PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0184012 ◽  
Author(s):  
Hiroki Masuda ◽  
Shigeki Hirano ◽  
Nobuyoshi Takahashi ◽  
Etsuko Hatsugano ◽  
Akiyuki Uzawa ◽  
...  

NeuroImage ◽  
2014 ◽  
Vol 86 ◽  
pp. 257-264 ◽  
Author(s):  
Arman Eshaghi ◽  
Benedetta Bodini ◽  
Gerard R. Ridgway ◽  
Daniel García-Lorenzo ◽  
Daniel J. Tozer ◽  
...  

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