Literature DB >> 19306365

Clinical correlations of brain lesion distribution in multiple sclerosis.

M M Vellinga1, J J G Geurts, E Rostrup, B M J Uitdehaag, C H Polman, F Barkhof, H Vrenken.   

Abstract

PURPOSE: To explore relations between spatial distribution of multiple sclerosis (MS) lesions, and disability. In MS, the presence of asymptomatic brain lesions challenges the prediction of disability based on conventional brain MRI. Hypothesizing that symptomatology may partly be determined by lesion location, this retrospective study explored relations between lesion location and disability using voxelwise analyses in standard space.
MATERIALS AND METHODS: Using nonparametric permutation-based statistics, voxelwise lesion probability on T2 lesion masks was related to expanded disability status scale (EDSS) and MS functional composite (MSFC) subdomain scores and demographic characteristics of 325 MS patients. To identify statistically significant locations, a cluster-forming threshold of 3.1 was used.
RESULTS: In clusters in the periventricular region, lesion probability correlated significantly (P < 0.001) with disability and disease duration, and was higher in progressive than in relapsing disease. When controlled for lesion load (LL), no significant clusters survived. Presence and number of spinal cord lesions did not correlate with lesion probability in any location, and did not influence correlations with disability when included in its analyses.
CONCLUSION: Periventricular lesions were related to disability. LL influenced relations between disability and lesion probability throughout the brain, suggesting interplay between lesional burden and its location in determining disability in MS.

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Year:  2009        PMID: 19306365     DOI: 10.1002/jmri.21679

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  28 in total

1.  The Network Modification (NeMo) Tool: elucidating the effect of white matter integrity changes on cortical and subcortical structural connectivity.

Authors:  Amy Kuceyeski; Jun Maruta; Norman Relkin; Ashish Raj
Journal:  Brain Connect       Date:  2013

2.  Use of Magnetic Resonance Imaging as Well as Clinical Disease Activity in the Clinical Classification of Multiple Sclerosis and Assessment of Its Course: A Report from an International CMSC Consensus Conference, March 5-7, 2010.

Authors:  Stuart D Cook; Suhayl Dhib-Jalbut; Peter Dowling; Luca Durelli; Corey Ford; Gavin Giovannoni; June Halper; Colleen Harris; Joseph Herbert; David Li; John A Lincoln; Robert Lisak; Fred D Lublin; Claudia F Lucchinetti; Wayne Moore; Robert T Naismith; Carlos Oehninger; Jack Simon; Maria Pia Sormani
Journal:  Int J MS Care       Date:  2012

Review 3.  MRI in the assessment and monitoring of multiple sclerosis: an update on best practice.

Authors:  Ulrike W Kaunzner; Susan A Gauthier
Journal:  Ther Adv Neurol Disord       Date:  2017-05-12       Impact factor: 6.570

4.  The generation and validation of white matter connectivity importance maps.

Authors:  Amy Kuceyeski; Jun Maruta; Sumit N Niogi; Jamshid Ghajar; Ashish Raj
Journal:  Neuroimage       Date:  2011-06-29       Impact factor: 6.556

5.  Multi-modal quantitative MRI investigation of brain tissue neurodegeneration in multiple sclerosis.

Authors:  Khader M Hasan; Indika S Walimuni; Humaira Abid; Jerry S Wolinsky; Ponnada A Narayana
Journal:  J Magn Reson Imaging       Date:  2012-01-12       Impact factor: 4.813

6.  Monitoring diffuse injury during disease progression in experimental autoimmune encephalomyelitis with on resonance variable delay multiple pulse (onVDMP) CEST MRI.

Authors:  Aline M Thomas; Jiadi Xu; Peter A Calabresi; Peter C M van Zijl; Jeff W M Bulte
Journal:  Neuroimage       Date:  2019-10-09       Impact factor: 6.556

7.  Hypoperfusion and T1-hypointense lesions in white matter in multiple sclerosis.

Authors:  Ponnada A Narayana; Yuxiang Zhou; Khader M Hasan; Sushmita Datta; Xiaojun Sun; Jerry S Wolinsky
Journal:  Mult Scler       Date:  2013-07-08       Impact factor: 6.312

Review 8.  Exercise as Medicine in Multiple Sclerosis-Time for a Paradigm Shift: Preventive, Symptomatic, and Disease-Modifying Aspects and Perspectives.

Authors:  Ulrik Dalgas; Martin Langeskov-Christensen; Egon Stenager; Morten Riemenschneider; Lars G Hvid
Journal:  Curr Neurol Neurosci Rep       Date:  2019-11-13       Impact factor: 5.081

Review 9.  Causes, effects and connectivity changes in MS-related cognitive decline.

Authors:  Carolina de Medeiros Rimkus; Martijn D Steenwijk; Frederik Barkhof
Journal:  Dement Neuropsychol       Date:  2016 Jan-Mar

Review 10.  Imaging as an Outcome Measure in Multiple Sclerosis.

Authors:  Daniel Ontaneda; Robert J Fox
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

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