AUTHOR=Rasche Ludwig , Scheel Michael , Otte Karen , Althoff Patrik , van Vuuren Annemieke B. , Gieß Rene M. , Kuchling Joseph , Bellmann-Strobl Judith , Ruprecht Klemens , Paul Friedemann , Brandt Alexander U. , Schmitz-Hübsch Tanja 

TITLE=MRI Markers and Functional Performance in Patients With CIS and MS: A Cross-Sectional Study

JOURNAL=Frontiers in Neurology

VOLUME=9

YEAR=2018

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2018.00718

DOI=10.3389/fneur.2018.00718

ISSN=1664-2295

ABSTRACT=<p><bold>Introduction:</bold> Brain atrophy is a widely accepted marker of disease severity with association to clinical disability in multiple sclerosis (MS). It is unclear to which extent this association reflects common age effects on both atrophy and function.</p><p><bold>Objective:</bold> To explore how functional performance in gait, upper extremities and cognition is associated with brain atrophy in patients with Clinically Isolated Syndrome (CIS) and relapsing-remitting MS (RRMS), controlling for effects of age and sex.</p><p><bold>Methods:</bold> In 27 patients with CIS, 59 with RRMS (EDSS ≤3) and 63 healthy controls (HC), 3T MRI were analyzed for T2 lesion count (T2C), volume (T2V) and brain volumes [normalized brain volume (NBV), gray matter volume (NGMV), white matter volume (NWMV), thalamic volume (NThalV)]. Functional performance was measured with short maximum walking speed (SMSW speed), 9-hole peg test (9HPT) and symbol digit modalities test (SDMT). Linear regression models were created for functional variables with stepwise inclusion of age, sex and MR imaging markers.</p><p><bold>Results:</bold> CIS differed from HC only in T2C and T2V. RRMS differed from HC in NBV, NGMV and NThalV, T2C and T2V, but not in NWMV. A strong association with age was seen in HC, CIS and RRMS groups for NBV (<italic>r</italic> = −0.5 to −0.6) and NGMV (<italic>r</italic> = −0.6 to −0.8). Associations with age were seen in HC and RRMS but not CIS for NThalV (<italic>r</italic> = −0.3; <italic>r</italic> = −0.5), T2C (<italic>r</italic><sub><italic>s</italic></sub> = 0.3; <italic>r</italic><sub><italic>s</italic></sub> = 0.2) and T2V (<italic>r</italic><sub><italic>s</italic></sub> = 0.3; <italic>r</italic><sub><italic>s</italic></sub> = 0.3). No effect of age was seen on NWMV. Correlations of functional performance with age in RRMS were seen for SMSW speed, 9HPTand SDMT (<italic>r</italic> = −0.27 to −0.46). Regression analyses yielded significant models only in the RRMS group for 9HPT, SMSW speed and EDSS. These included NBV, NGMV, NThalV, NWMV, logT2V, age and sex as predictors. NThalV was the only MRI variable predicting a functional measure (9HPT<sub>r</sub>) with a higher standardized beta than age and sex (<italic>R</italic><sup>2</sup> = 0.36, <italic>p</italic> &lt; 1e-04).</p><p><bold>Conclusion:</bold> Thalamic atrophy was a stronger predictor of hand function (9HPT) in RRMS, than age and sex. This underlines the clinical relevance of thalamic atrophy and the relevance of hand function as a clinical marker even in mildly disabled patients.</p>