Literature DB >> 19297508

Sensorimotor dysfunction in multiple sclerosis and column-specific magnetization transfer-imaging abnormalities in the spinal cord.

Kathleen M Zackowski1, Seth A Smith, Daniel S Reich, Eliza Gordon-Lipkin, BettyAnn A Chodkowski, Divya R Sambandan, Michael Shteyman, Amy J Bastian, Peter C van Zijl, Peter A Calabresi.   

Abstract

The human spinal cord contains segregated sensory and motor pathways that have been difficult to quantify using conventional magnetic resonance imaging (MRI) techniques. Multiple sclerosis is characterized by both focal and spatially diffuse spinal cord lesions with heterogeneous pathologies that have limited attempts at linking MRI and behaviour. We used a novel magnetization-transfer-weighted imaging approach to quantify damage to spinal white matter columns and tested its association with sensorimotor impairment. We studied 42 participants with multiple sclerosis who each underwent MRI at 3 Tesla and quantitative tests of sensorimotor function. We measured cerebrospinal-fluid-normalized magnetization-transfer signals in the dorsal and lateral columns and grey matter of the cervical cord. We also measured brain lesion volume, cervical spinal cord lesion number and cross-sectional area, vibration sensation, strength, walking velocity and standing balance. We used linear regression to assess the relationship between sensorimotor impairment and MRI abnormalities. We found that the dorsal column cerebrospinal-fluid-normalized magnetization-transfer signal specifically correlated with vibration sensation (R = 0.58, P < 0.001) and the lateral column signal with strength (R = -0.45, P = 0.003). Spinal cord signal measures also correlated with walking and balance dysfunction. A stepwise multiple regression showed that the dorsal column signal and diagnosis subtype alone explained a significant portion of the variance in sensation (R(2) = 0.54, P < 0.001), whereas the lateral column signal and diagnosis subtype explained a significant portion of the variance in strength (R(2) = 0.30, P < 0.001). These results help to understand the anatomic basis of sensorimotor disability in multiple sclerosis and have implications for testing the effects of neuroprotective and reparative interventions.

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Year:  2009        PMID: 19297508      PMCID: PMC2677795          DOI: 10.1093/brain/awp032

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  46 in total

1.  Correlations of brain MRI parameters to disability in multiple sclerosis.

Authors:  K Schreiber; P S Sørensen; N Koch-Henriksen; A Wagner; M Blinkenberg; C Svarer; H C Petersen
Journal:  Acta Neurol Scand       Date:  2001-07       Impact factor: 3.209

2.  Distribution of plaques in seventy autopsy cases of multiple sclerosis in the United States.

Authors:  F Ikuta; H M Zimmerman
Journal:  Neurology       Date:  1976-06       Impact factor: 9.910

3.  Disability in optic neuritis correlates with diffusion tensor-derived directional diffusivities.

Authors:  R T Naismith; J Xu; N T Tutlam; A Snyder; T Benzinger; J Shimony; J Shepherd; K Trinkaus; A H Cross; S-K Song
Journal:  Neurology       Date:  2008-12-10       Impact factor: 9.910

4.  Short-term correlations between clinical and MR imaging findings in relapsing-remitting multiple sclerosis.

Authors:  Marco Rovaris; Giancarlo Comi; David Ladkani; Jerry S Wolinsky; Massimo Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2003-01       Impact factor: 3.825

5.  Outcome measures for multiple sclerosis clinical trials: relative measurement precision of the Expanded Disability Status Scale and Multiple Sclerosis Functional Composite.

Authors:  J Hobart; N Kalkers; F Barkhof; B Uitdehaag; C Polman; A Thompson
Journal:  Mult Scler       Date:  2004-02       Impact factor: 6.312

6.  Dissipation of claudication pain after walking: implications for endurance training.

Authors:  A W Gardner
Journal:  Med Sci Sports Exerc       Date:  1993-08       Impact factor: 5.411

7.  Spinal cord abnormalities in recently diagnosed MS patients: added value of spinal MRI examination.

Authors:  J C J Bot; F Barkhof; C H Polman; G J Lycklama à Nijeholt; V de Groot; E Bergers; H J Ader; J A Castelijns
Journal:  Neurology       Date:  2004-01-27       Impact factor: 9.910

8.  Axonal loss in multiple sclerosis: a pathological survey of the corticospinal and sensory tracts.

Authors:  G C DeLuca; G C Ebers; M M Esiri
Journal:  Brain       Date:  2004-03-26       Impact factor: 13.501

9.  A longitudinal study of abnormalities on MRI and disability from multiple sclerosis.

Authors:  Peter A Brex; Olga Ciccarelli; Jonathon I O'Riordan; Michael Sailer; Alan J Thompson; David H Miller
Journal:  N Engl J Med       Date:  2002-01-17       Impact factor: 91.245

10.  Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain.

Authors:  Klaus Schmierer; Francesco Scaravilli; Daniel R Altmann; Gareth J Barker; David H Miller
Journal:  Ann Neurol       Date:  2004-09       Impact factor: 10.422

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  60 in total

Review 1.  The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.

Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

2.  Longitudinal relationships among posturography and gait measures in multiple sclerosis.

Authors:  Nora E Fritz; Scott D Newsome; Ani Eloyan; Rhul Evans R Marasigan; Peter A Calabresi; Kathleen M Zackowski
Journal:  Neurology       Date:  2015-04-15       Impact factor: 9.910

3.  Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.

Authors:  Min Chen; Aaron Carass; Jiwon Oh; Govind Nair; Dzung L Pham; Daniel S Reich; Jerry L Prince
Journal:  Neuroimage       Date:  2013-08-06       Impact factor: 6.556

Review 4.  Spinal cord MRI in multiple sclerosis--diagnostic, prognostic and clinical value.

Authors:  Hugh Kearney; David H Miller; Olga Ciccarelli
Journal:  Nat Rev Neurol       Date:  2015-05-26       Impact factor: 42.937

5.  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

6.  Time course of strength adaptations following high-intensity resistance training in individuals with multiple sclerosis.

Authors:  A Manca; Z Dvir; D Dragone; G Mureddu; G Bua; Franca Deriu
Journal:  Eur J Appl Physiol       Date:  2017-03-01       Impact factor: 3.078

7.  Plantarflexor weakness negatively impacts walking in persons with multiple sclerosis more than plantarflexor spasticity.

Authors:  Joanne M Wagner; Theodore R Kremer; Linda R Van Dillen; Robert T Naismith
Journal:  Arch Phys Med Rehabil       Date:  2014-02-28       Impact factor: 3.966

Review 8.  Advanced MRI strategies for assessing spinal cord injury.

Authors:  Seth A Smith; James J Pekar; Peter C M van Zijl
Journal:  Handb Clin Neurol       Date:  2012

9.  Groupwise multi-atlas segmentation of the spinal cord's internal structure.

Authors:  Andrew J Asman; Frederick W Bryan; Seth A Smith; Daniel S Reich; Bennett A Landman
Journal:  Med Image Anal       Date:  2014-02-05       Impact factor: 8.545

10.  Chemical exchange saturation transfer of the cervical spinal cord at 7 T.

Authors:  Adrienne N Dula; Siddharama Pawate; Lindsey M Dethrage; Benjamin N Conrad; Blake E Dewey; Robert L Barry; Seth A Smith
Journal:  NMR Biomed       Date:  2016-07-26       Impact factor: 4.044

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