Diffuse and Focal Corticospinal Tract Disease and Its Impact on Patient Disability in Multiple Sclerosis

We investigated the impact of focal and diffuse corticospinal tracts damage on sensory‐motor disability in multiple sclerosis (MS) patients.

[1]  F. Barkhof,et al.  Axonal loss in multiple sclerosis lesions: Magnetic resonance imaging insights into substrates of disability , 1999, Annals of neurology.

[2]  P. Calabresi,et al.  MRI of the corpus callosum in multiple sclerosis: association with disability , 2010, Multiple sclerosis.

[3]  Elizabeth Fisher,et al.  Imaging correlates of axonal swelling in chronic multiple sclerosis brains , 2007, Annals of neurology.

[4]  Lublin Fd,et al.  Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. , 1996 .

[5]  M. Rovaris,et al.  Cognitive dysfunction in patients with mildly disabling relapsing–remitting multiple sclerosis: an exploratory study with diffusion tensor MR imaging , 2002, Journal of the Neurological Sciences.

[6]  M. Filippi,et al.  Structural and functional magnetic resonance imaging correlates of motor network dysfunction in primary progressive multiple sclerosis , 2010, The European journal of neuroscience.

[7]  M. O’Sullivan,et al.  Diffusion tensor imaging of thalamus correlates with cognition in CADASIL without dementia , 2004, Neurology.

[8]  Gareth J. Barker,et al.  Optic nerve diffusion tensor imaging in optic neuritis , 2006, NeuroImage.

[9]  M. Berger,et al.  Quantifying diffusion MRI tractography of the corticospinal tract in brain tumors with deterministic and probabilistic methods☆ , 2013, NeuroImage: Clinical.

[10]  P. Morgan,et al.  Pyramidal tract mapping by diffusion tensor magnetic resonance imaging in multiple sclerosis: improving correlations with disability , 2003, Journal of neurology, neurosurgery, and psychiatry.

[11]  S. Reingold,et al.  Defining the clinical course of multiple sclerosis , 1996, Neurology.

[12]  C. Beaulieu,et al.  The basis of anisotropic water diffusion in the nervous system – a technical review , 2002, NMR in biomedicine.

[13]  Jun Wang,et al.  Whole brain white matter changes revealed by multiple diffusion metrics in multiple sclerosis: a TBSS study. , 2012, European journal of radiology.

[14]  S J Nelson,et al.  Mechanisms of normal appearing corpus callosum injury related to pericallosal T1 lesions in multiple sclerosis using directional diffusion tensor and 1H MRS imaging , 2004, Journal of Neurology, Neurosurgery & Psychiatry.

[15]  L. Defebvre,et al.  The value of novel MRI techniques in Parkinson-plus syndromes: diffusion tensor imaging and anatomical connectivity studies. , 2014, Revue neurologique.

[16]  Ivanei E. Bramati,et al.  The human pyramidal syndrome Redux , 2007, Neuroreport.

[17]  Hong Shan,et al.  Quantitative diffusion tensor deterministic and probabilistic fiber tractography in relapsing-remitting multiple sclerosis. , 2011, European journal of radiology.

[18]  Jan-Mendelt Tillema,et al.  Neuroradiological evaluation of demyelinating disease , 2013, Therapeutic advances in neurological disorders.

[19]  Scott T. Grafton,et al.  Automated image registration: I. General methods and intrasubject, intramodality validation. , 1998, Journal of computer assisted tomography.

[20]  Stephen J. Jones,et al.  Optic nerve diffusion measurement from diffusion-weighted imaging in optic neuritis. , 2004, AJNR. American journal of neuroradiology.

[21]  H. McFarland,et al.  Interferon-beta-1b effects on re-enhancing lesions in patients with multiple sclerosis , 2005, Multiple sclerosis.

[22]  Stephen M. Rao,et al.  Development of a multiple sclerosis functional composite as a clinical trial outcome measure. , 1999, Brain : a journal of neurology.

[23]  M. Onu,et al.  Diffusion abnormality maps in demyelinating disease: correlations with clinical scores. , 2012, European journal of radiology.

[24]  Hangyi Jiang,et al.  DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking , 2006, Comput. Methods Programs Biomed..

[25]  P. Jezzard,et al.  Correction for geometric distortion in echo planar images from B0 field variations , 1995, Magnetic resonance in medicine.

[26]  Stephen M. Smith,et al.  Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis , 2002, NeuroImage.

[27]  Neal Jeffries,et al.  Evolution of T1 black holes in patients with multiple sclerosis imaged monthly for 4 years. , 2003, Brain : a journal of neurology.

[28]  P. Basser,et al.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. , 1996, Journal of magnetic resonance. Series B.

[29]  J. Babb,et al.  Tract-specific white matter correlates of fatigue and cognitive impairment in benign multiple sclerosis , 2013, Journal of the Neurological Sciences.

[30]  I. Evangelou,et al.  Thalamic Involvement and Its Impact on Clinical Disability in Patients with Multiple Sclerosis: A Diffusion Tensor Imaging Study at 3T , 2009, American Journal of Neuroradiology.

[31]  Chunshui Yu,et al.  Diffusion tensor tractography-based group mapping of the pyramidal tract in relapsing-remitting multiple sclerosis patients. , 2007, AJNR. American journal of neuroradiology.

[32]  Peter A. Calabresi,et al.  Multiparametric magnetic resonance imaging analysis of the corticospinal tract in multiple sclerosis , 2007, NeuroImage.

[33]  Olga Ciccarelli,et al.  Combining tractography and cortical measures to test system-specific hypotheses in multiple sclerosis , 2010, Multiple sclerosis.

[34]  Heidi Johansen-Berg,et al.  Relationships of brain white matter microstructure with clinical and MR measures in relapsing‐remitting multiple sclerosis , 2010, Journal of magnetic resonance imaging : JMRI.

[35]  J. Kurtzke.  Rating neurologic impairment in multiple sclerosis , 1983, Neurology.

[36]  D. Reich,et al.  Corticospinal Tract Abnormalities Are Associated with Weakness in Multiple Sclerosis , 2008, American Journal of Neuroradiology.

[37]  Randy L. Gollub,et al.  Reproducibility of quantitative tractography methods applied to cerebral white matter , 2007, NeuroImage.

[38]  Junqian Xu,et al.  Spinal cord tract diffusion tensor imaging reveals disability substrate in demyelinating disease , 2013, Neurology.

[39]  P. V. van Zijl,et al.  Three‐dimensional tracking of axonal projections in the brain by magnetic resonance imaging , 1999, Annals of neurology.

[40]  Frederik Barkhof,et al.  MRI in multiple sclerosis: correlation with expanded disability status scale (EDSS) , 1999, Multiple sclerosis.

[41]  F. Barkhof,et al.  Accumulation of hypointense lesions ("black holes") on T1 spin-echo MRI correlates with disease progression in multiple sclerosis , 1996, Neurology.

[42]  D. Silberberg,et al.  New diagnostic criteria for multiple sclerosis: Guidelines for research protocols , 1983, Annals of neurology.

[43]  Gary F. Egan,et al.  Optic Nerve Diffusion Tensor Imaging after Acute Optic Neuritis Predicts Axonal and Visual Outcomes , 2013, PloS one.

[44]  M. Bergamino,et al.  Structural correlates of subjective and objective memory performance in multiple sclerosis , 2014, Hippocampus.