Literature DB >> 26115736

Unraveling the neuroimaging predictors for motor dysfunction in long-standing multiple sclerosis.

Marita Daams1, Martijn D Steenwijk2, Mike P Wattjes2, Jeroen J G Geurts2, Bernard M J Uitdehaag2, Prejaas K Tewarie2, Lisanne J Balk2, Petra J W Pouwels2, Joep Killestein2, Frederik Barkhof2.   

Abstract

OBJECTIVE: To find the strongest neuroimaging predictors for motor dysfunction using conventional and quantitative imaging measures focusing on the corticospinal tract (CST) in a large cohort of patients with long-standing multiple sclerosis (MS).
METHODS: In this cross-sectional study, a wide spectrum of neuroimaging measures at the whole-brain, cervical, and CST level were analyzed in 195 patients with MS and 54 healthy controls. Motor function was assessed using the Expanded Disability Status Scale (EDSS), 9-Hole Peg Test, Timed 25-Foot Walk Test, and Multiple Sclerosis Walking Scale. Associations between damage in different parts of the motor system and motor functioning were assessed using stepwise linear regression.
RESULTS: Patients had an average disease duration of 19.98 (±6.99) years and a median EDSS score of 4 (range: 1.0-8.0). EDSS score was associated with number of infratentorial and cervical cord lesions, lesion volume in the CST, and mean upper cervical cord area (adjusted R(2) = 0.403). Timed 25-Foot Walk Test score was associated with number of infratentorial lesions and cerebellar volume (adjusted R(2) = 0.150), 9-Hole Peg Test score with number of infratentorial lesions and thickness of the cortex connected to the CST (adjusted R(2) = 0.245), and Multiple Sclerosis Walking Scale with number of infratentorial and cervical lesions, thickness of the cortex connected to the CST, and mean upper cervical cord area (adjusted R(2) = 0.354).
CONCLUSIONS: Motor dysfunction in MS has a complex substrate that cannot be ascribed to a single neuroimaging finding, but is the consequence of infratentorial and spinal cord damage, as well as damage in the CST.
© 2015 American Academy of Neurology.

Entities:  

Mesh:

Year:  2015        PMID: 26115736     DOI: 10.1212/WNL.0000000000001756

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  13 in total

1.  Joint assessment of brain and spinal cord motor tract damage in patients with early RRMS: predominant impact of spinal cord lesions on motor function.

Authors:  Raphaël Chouteau; Benoit Combès; Elise Bannier; Haykel Snoussi; Jean-Christophe Ferré; Christian Barillot; Gilles Edan; Paul Sauleau; Anne Kerbrat
Journal:  J Neurol       Date:  2019-06-07       Impact factor: 4.849

2.  Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability.

Authors:  Anne Kerbrat; Charley Gros; Atef Badji; Elise Bannier; Francesca Galassi; Benoit Combès; Raphaël Chouteau; Pierre Labauge; Xavier Ayrignac; Clarisse Carra-Dalliere; Josefina Maranzano; Tobias Granberg; Russell Ouellette; Leszek Stawiarz; Jan Hillert; Jason Talbott; Yasuhiko Tachibana; Masaaki Hori; Kouhei Kamiya; Lydia Chougar; Jennifer Lefeuvre; Daniel S Reich; Govind Nair; Paola Valsasina; Maria A Rocca; Massimo Filippi; Renxin Chu; Rohit Bakshi; Virginie Callot; Jean Pelletier; Bertrand Audoin; Adil Maarouf; Nicolas Collongues; Jérôme De Seze; Gilles Edan; Julien Cohen-Adad
Journal:  Brain       Date:  2020-07-01       Impact factor: 13.501

3.  Abnormal functional connectivity and cortical integrity influence dominant hand motor disability in multiple sclerosis: a multimodal analysis.

Authors:  Jidan Zhong; Julia C Nantes; Scott A Holmes; Serge Gallant; Sridar Narayanan; Lisa Koski
Journal:  Hum Brain Mapp       Date:  2016-07-06       Impact factor: 5.038

4.  Finger tapping impairments are highly sensitive for evaluating upper motor neuron lesions.

Authors:  Afsaneh Shirani; Braeden D Newton; Darin T Okuda
Journal:  BMC Neurol       Date:  2017-03-21       Impact factor: 2.474

5.  The potential of visual physiology: An instrument with a place in MS translation.

Authors:  L J W Canham; N M Kane; D A Cottrell
Journal:  Clin Neurophysiol Pract       Date:  2019-05-08

6.  Diffusion tensor imaging and disability progression in multiple sclerosis: A 4-year follow-up study.

Authors:  Marcin Kolasa; Ullamari Hakulinen; Antti Brander; Sanna Hagman; Prasun Dastidar; Irina Elovaara; Marja-Liisa Sumelahti
Journal:  Brain Behav       Date:  2018-12-26       Impact factor: 2.708

7.  Long-range connections are more severely damaged and relevant for cognition in multiple sclerosis.

Authors:  Kim A Meijer; Martijn D Steenwijk; Linda Douw; Menno M Schoonheim; Jeroen J G Geurts
Journal:  Brain       Date:  2020-01-01       Impact factor: 13.501

8.  Cervical and thoracic cord atrophy in multiple sclerosis phenotypes: Quantification and correlation with clinical disability.

Authors:  Yair Mina; Shila Azodi; Tsemacha Dubuche; Frances Andrada; Ikesinachi Osuorah; Joan Ohayon; Irene Cortese; Tianxia Wu; Kory R Johnson; Daniel S Reich; Govind Nair; Steven Jacobson
Journal:  Neuroimage Clin       Date:  2021-04-28       Impact factor: 4.881

9.  Is impaired information processing speed a matter of structural or functional damage in MS?

Authors:  K A Meijer; Q van Geest; A J C Eijlers; J J G Geurts; M M Schoonheim; H E Hulst
Journal:  Neuroimage Clin       Date:  2018-09-26       Impact factor: 4.881

Review 10.  MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice.

Authors:  Jaume Sastre-Garriga; Deborah Pareto; Marco Battaglini; Maria A Rocca; Olga Ciccarelli; Christian Enzinger; Jens Wuerfel; Maria P Sormani; Frederik Barkhof; Tarek A Yousry; Nicola De Stefano; Mar Tintoré; Massimo Filippi; Claudio Gasperini; Ludwig Kappos; Jordi Río; Jette Frederiksen; Jackie Palace; Hugo Vrenken; Xavier Montalban; Àlex Rovira
Journal:  Nat Rev Neurol       Date:  2020-02-24       Impact factor: 42.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.