Regional gray matter atrophy in relapsing remitting multiple sclerosis: baseline analysis of multi-center data

Multiple Sclerosis and Related Disorders
Sushmita DattaCombiRx Investigators Group

Abstract

Regional gray matter (GM) atrophy in multiple sclerosis (MS) at disease onset and its temporal variation can provide objective information regarding disease evolution. An automated pipeline for estimating atrophy of various GM structures was developed using tensor based morphometry (TBM) and implemented on a multi-center sub-cohort of 1008 relapsing remitting MS (RRMS) patients enrolled in a Phase 3 clinical trial. Four hundred age and gender matched healthy controls were used for comparison. Using the analysis of covariance, atrophy differences between MS patients and healthy controls were assessed on a voxel-by-voxel analysis. Regional GM atrophy was observed in a number of deep GM structures that included thalamus, caudate nucleus, putamen, and cortical GM regions. General linear regression analysis was performed to analyze the effects of age, gender, and scanner field strength, and imaging sequence on the regional atrophy. Correlations between regional GM volumes and expanded disability status scale (EDSS) scores, disease duration (DD), T2 lesion load (T2 LL), T1 lesion load (T1 LL), and normalized cerebrospinal fluid (nCSF) were analyzed using Pearson׳s correlation coefficient. Thalamic atrophy observed in MS patients comp...Continue Reading

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Citations

Jun 23, 2015·Human Brain Mapping·Koushik A GovindarajanUNKNOWN CombiRx Investigators Group
Mar 8, 2019·Multiple Sclerosis : Clinical and Laboratory Research·Cassandra E MeyerAllan MacKenzie-Graham
Jan 6, 2017·Journal of Neurology·Sven SchipplingRoland Opfer
May 28, 2019·Frontiers in Neurology·Katariina HänninenMerja Soilu-Hänninen
Jun 14, 2017·Therapeutic Advances in Neurological Disorders·Ulrike W Kaunzner, Susan A Gauthier

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Clinical Trials Mentioned

NCT00211887

Software Mentioned

SPM8
DARTEL
N4ITK
ANTS

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