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Glutamate-sensitive imaging and evaluation of cognitive impairment in multiple sclerosis.

Authors :
O'Grady KP
Dula AN
Lyttle BD
Thompson LM
Conrad BN
Box BA
McKeithan LJ
Pawate S
Bagnato F
Landman BA
Newhouse P
Smith SA
Source :
Multiple sclerosis (Houndmills, Basingstoke, England) [Mult Scler] 2019 Oct; Vol. 25 (12), pp. 1580-1592. Date of Electronic Publication: 2018 Sep 19.
Publication Year :
2019

Abstract

Background: Cognitive impairment (CI) profoundly impacts quality of life for patients with multiple sclerosis (MS). Dysfunctional regulation of glutamate in gray matter (GM) has been implicated in the pathogenesis of MS by post-mortem pathological studies and in CI by in vivo magnetic resonance spectroscopy, yet GM pathology is subtle and difficult to detect using conventional T <subscript>1</subscript> - and T <subscript>2</subscript> -weighted magnetic resonance imaging (MRI). There is a need for high-resolution, clinically accessible imaging techniques that probe molecular changes in GM.<br />Objective: To study cortical GM pathology related to CI in MS using glutamate-sensitive chemical exchange saturation transfer (GluCEST) MRI at 7.0 Tesla (7T).<br />Methods: A total of 20 patients with relapsing-remitting MS and 20 healthy controls underwent cognitive testing, anatomical imaging, and GluCEST imaging. Glutamate-sensitive image contrast was quantified for cortical GM, compared between cohorts, and correlated with clinical measures of CI.<br />Results and Conclusion: Glutamate-sensitive contrast was significantly increased in the prefrontal cortex of MS patients with accumulated disability ( p  < 0.05). In addition, glutamate-sensitive contrast in the prefrontal cortex was significantly correlated with symbol digit modality test ( r <subscript>S</subscript>  = -0.814) and choice reaction time ( r <subscript>S</subscript>  = 0.772) scores in patients ( p  < 0.05), suggesting that GluCEST MRI may have utility as a marker for GM pathology and CI.

Details

Language :
English
ISSN :
1477-0970
Volume :
25
Issue :
12
Database :
MEDLINE
Journal :
Multiple sclerosis (Houndmills, Basingstoke, England)
Publication Type :
Academic Journal
Accession number :
30230400
Full Text :
https://doi.org/10.1177/1352458518799583