The role of cerebellar damage in explaining disability and cognition in multiple sclerosis phenotypes: a multiparametric MRI study-Reference-Cited by-同舟云学术

The role of cerebellar damage in explaining disability and cognition in multiple sclerosis phenotypes: a multiparametric MRI study

Published:2022-03-01 Issue:7 Volume:269 Page:3841-3857
ISSN:0340-5354
Container-title:Journal of Neurology
language:en
Short-container-title:J Neurol

Author:

Bonacchi Raffaello,Meani Alessandro,Pagani Elisabetta,Marchesi Olga,Filippi Massimo,Rocca Maria A.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Neurology (clinical),Neurology

Link

https://link.springer.com/content/pdf/10.1007/s00415-022-11021-1.pdf

Reference44 articles.

1. Altmann A, Tolosi L, Sander O, Lengauer T (2010) Permutation importance: a corrected feature importance measure. Bioinformatics 26:1340–1347

2. Anderson VM, Fisniku LK, Altmann DR, Thompson AJ, Miller DH (2009) MRI measures show significant cerebellar gray matter volume loss in multiple sclerosis and are associated with cerebellar dysfunction. Mult Scler 15:811–817

3. Anderson VM, Wheeler-Kingshott CA, Abdel-Aziz K, Miller DH, Toosy A, Thompson AJ, Ciccarelli O (2011) A comprehensive assessment of cerebellar damage in multiple sclerosis using diffusion tractography and volumetric analysis. Mult Scler 17:1079–1087

4. Benedict RH, Ramasamy D, Munschauer F, Weinstock-Guttman B, Zivadinov R (2009) Memory impairment in multiple sclerosis: correlation with deep grey matter and mesial temporal atrophy. J Neurol Neurosurg Psychiatry 80:201–206

5. Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc: Ser B (Methodol) 57:289–300

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The role of the cerebellum in multiple sclerosis: structural damage and disconnecting networks;Current Opinion in Behavioral Sciences;2024-10

2. Aging, Neurodegenerative Disorders, and Cerebellum;International Journal of Molecular Sciences;2024-01-13

3. Global and Regional Deep Learning Models for Multiple Sclerosis Stratification From MRI;Journal of Magnetic Resonance Imaging;2023-10-06

4. Using The Virtual Brain to study the relationship between structural and functional connectivity in patients with multiple sclerosis: a multicenter study;Cerebral Cortex;2023-02-22

5. Correspondence among gray matter atrophy and atlas-based neurotransmitter maps is clinically relevant in multiple sclerosis;Molecular Psychiatry;2023-01-19