Literature DB >> 29845492

Clinical Correlations of Brain Lesion Location in Multiple Sclerosis: Voxel-Based Analysis of a Large Clinical Trial Dataset.

Anna Altermatt1,2, Laura Gaetano3,4, Stefano Magon3,4, Dieter A Häring5, Davorka Tomic5, Jens Wuerfel6,3, Ernst-Wilhelm Radue7, Ludwig Kappos4, Till Sprenger3,4,8.   

Abstract

There is a limited correlation between white matter (WM) lesion load as determined by magnetic resonance imaging and disability in multiple sclerosis (MS). The reasons for this so-called clinico-radiological paradox are diverse and may, at least partly, relate to the fact that not just the overall lesion burden, but also the exact anatomical location of lesions predict the severity and type of disability. We aimed at studying the relationship between lesion distribution and disability using a voxel-based lesion probability mapping approach in a very large dataset of MS patients. T2-weighted lesion masks of 2348 relapsing-remitting MS patients were spatially normalized to standard stereotaxic space by non-linear registration. Relations between supratentorial WM lesion locations and disability measures were assessed using a non-parametric ANCOVA (Expanded Disability Status Scale [EDSS]; Multiple Sclerosis Functional Composite, and subscores; Modified Fatigue Impact Scale) or multinomial ordinal logistic regression (EDSS functional subscores). Data from 1907 (81%) patients were included in the analysis because of successful registration. The lesion mapping showed similar areas to be associated with the different disability scales: periventricular regions in temporal, frontal, and limbic lobes were predictive, mainly affecting the posterior thalamic radiation, the anterior, posterior, and superior parts of the corona radiata. In summary, significant associations between lesion location and clinical scores were found in periventricular areas. Such lesion clusters appear to be associated with impairment of different physical and cognitive abilities, probably because they affect commissural and long projection fibers, which are relevant WM pathways supporting many different brain functions.

Entities:  

Keywords:  Cognitive dysfunction; Lesion probability map; Magnetic resonance imaging; Motor impairment; Multiple sclerosis; White matter

Mesh:

Year:  2018        PMID: 29845492     DOI: 10.1007/s10548-018-0652-9

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  5 in total

1.  MR g-ratio-weighted connectome analysis in patients with multiple sclerosis.

Authors:  Koji Kamagata; Andrew Zalesky; Kazumasa Yokoyama; Christina Andica; Akifumi Hagiwara; Keigo Shimoji; Kanako K Kumamaru; Mariko Y Takemura; Yasunobu Hoshino; Kouhei Kamiya; Masaaki Hori; Christos Pantelis; Nobutaka Hattori; Shigeki Aoki
Journal:  Sci Rep       Date:  2019-09-18       Impact factor: 4.379

2.  White matter lesion location correlates with disability in relapsing multiple sclerosis.

Authors:  Laura Gaetano; Baldur Magnusson; Petya Kindalova; Davorka Tomic; Diego Silva; Anna Altermatt; Stefano Magon; Nicole Müller-Lenke; Ernst-Wilhelm Radue; David Leppert; Ludwig Kappos; Jens Wuerfel; Dieter A Häring; Till Sprenger
Journal:  Mult Scler J Exp Transl Clin       Date:  2020-02-18

3.  Relating Acute Lesion Loads to Chronic Outcome in Ischemic Stroke-An Exploratory Comparison of Mismatch Patterns and Predictive Modeling.

Authors:  Simon Habegger; Roland Wiest; Bruno J Weder; Pasquale Mordasini; Jan Gralla; Levin Häni; Simon Jung; Mauricio Reyes; Richard McKinley
Journal:  Front Neurol       Date:  2018-09-11       Impact factor: 4.003

Review 4.  Pathophysiological and cognitive mechanisms of fatigue in multiple sclerosis.

Authors:  Zina-Mary Manjaly; Neil A Harrison; Hugo D Critchley; Cao Tri Do; Gabor Stefanics; Nicole Wenderoth; Andreas Lutterotti; Alfred Müller; Klaas Enno Stephan
Journal:  J Neurol Neurosurg Psychiatry       Date:  2019-01-25       Impact factor: 10.154

Review 5.  Predictive MRI Biomarkers in MS-A Critical Review.

Authors:  Vlad Eugen Tiu; Iulian Enache; Cristina Aura Panea; Cristina Tiu; Bogdan Ovidiu Popescu
Journal:  Medicina (Kaunas)       Date:  2022-03-03       Impact factor: 2.430

  5 in total

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