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Associations Between Findings From Myelin Water Imaging and Cognitive Performance Among Individuals With Multiple Sclerosis

Authors :
Roger Tam
Ana-Luiza Sayao
Jillian Chan
Enedino Hernández-Torres
Anthony Traboulsee
David K.B. Li
Poljanka Johnson
Virender Bhan
Cornelia Laule
Stephen Ristow
Robert Carruthers
Alice Schabas
Annie J. Kuan
Shawna Abel
Jeffrey Wilken
Helen Cross
Nathalie Ackermans
Irene M. Vavasour
Alexander Rauscher
Adam V. Dvorak
Sarah A. Morrow
Lisa Eunyoung Lee
Virginia Devonshire
Shannon H. Kolind
Source :
JAMA Network Open
Publication Year :
2020

Abstract

Key Points Question Is myelin damage in normal-appearing white matter associated with cognitive impairment in participants with multiple sclerosis (MS)? Findings In this cross-sectional study of 73 participants with MS and 22 age-, sex-, and education-matched healthy controls, significant associations were observed in participants with MS between a quantitative neuroimaging measure of myelin and performance on cognitive tests validated for MS. No significant associations were found between myelin measures and cognitive performance in controls. Meaning These findings suggest that myelin damage that is completely invisible on standard clinical images but can be measured using myelin water imaging is involved in MS-related cognitive impairment.<br />This cross-sectional study uses myelin water imaging to examine participants with multiple sclerosis as well as controls to see whether advanced imaging can show myelin damage that does not appear on standard imaging.<br />Importance Cognitive impairment is a debilitating symptom of multiple sclerosis (MS) that affects up to 70% of patients. An improved understanding of the underlying pathology of MS-related cognitive impairment would provide considerable benefit to patients and clinicians. Objective To determine whether there is an association between myelin damage in tissue that appears completely normal on standard clinical imaging, but can be detected by myelin water imaging (MWI), with cognitive performance in MS. Design, Setting, and Participants In this cross-sectional study, participants with MS and controls underwent cognitive testing and magnetic resonance imaging (MRI) from August 23, 2017, to February 20, 2019. Participants were recruited through the University of British Columbia Hospital MS clinic and via online recruitment advertisements on local health authority websites. Cognitive testing was performed in the MS clinic, and MRI was performed at the adjacent academic research neuroimaging center. Seventy-three participants with clinically definite MS fulfilling the 2017 revised McDonald criteria for diagnosis and 22 age-, sex-, and education-matched healthy volunteers without neurological disease were included in the study. Data analysis was performed from March to November 2019. Exposures MWI was performed at 3 T with a 48-echo, 3-dimensional, gradient and spin-echo (GRASE) sequence. Cognitive testing was performed with assessments drawn from cognitive batteries validated for use in MS. Main Outcomes and Measures The association between myelin water measures, a measurement of the T2 relaxation signal from water in the myelin bilayers providing a specific marker for myelin, and cognitive test scores was assessed using Pearson correlation. Three white matter regions of interest—the cingulum, superior longitudinal fasciculus (SLF), and corpus callosum—were selected a priori according to their known involvement in MS-related cognitive impairment. Results For the 95 total participants, the mean (SD) age was 49.33 (11.44) years. The mean (SD) age was 50.2 (10.7) years for the 73 participants with MS and 46.4 (13.5) for the 22 controls. Forty-eight participants with MS (66%) and 14 controls (64%) were women. The mean (SD) years of education were 14.7 (2.2) for patients and 15.8 (2.5) years for controls. In MS, significant associations were observed between myelin water measures and scores on the Symbol Digit Modalities Test (SLF, r = −0.490; 95% CI, −0.697 to −0.284; P

Details

ISSN :
25743805
Volume :
3
Issue :
9
Database :
OpenAIRE
Journal :
JAMA network open
Accession number :
edsair.doi.dedup.....8bdbd265be23e418944847592e20a784