Clinically isolated syndrome suggestive of multiple sclerosis: voxelwise regional investigation of white and gray matter

Multiple white matter tract abnormalities underlie cognitive impairment in RRMS

Diffusion tensor imaging (DTI) is a sensitive tool for detecting microstructural tissue damage in vivo. In this study, we investigated DTI abnormalities in individuals with relapsing remitting multiple sclerosis (RRMS) and examined the relations between imaging-based measures of white matter injury and cognitive impairment. DTI-derived metrics using tract-based spatial statistics (TBSS) were compared between 37 individuals with RRMS and 20 healthy controls. Cognitive impairment was assessed with three standard tests: the Symbol Digit Modalities Test (SDMT), which measures cognitive processing speed and visual working memory, the Rey Auditory Verbal Learning Test (RAVLT), which examines verbal memory, and the Paced Auditory Serial Addition Test (PASAT), which assesses sustained attention and working memory. Correlations between DTI-metrics and cognition were explored in regions demonstrating significant differences between the RRMS patients and the control group. Lower fractional anisotropy (FA) was found in RRMS participants compared to controls across the tract skeleton (0.40 ± 0.03 vs. 0.43 ± 0.01, p<0.01). In areas of reduced FA, mean diffusivity was increased and was dominated by increased radial diffusivity with no significant change in axial diffusivity, an indication of the role of damage to CNS myelin in MS pathology. In the RRMS group, voxelwise correlations were found between FA reduction and cognitive impairment in cognitively-relevant tracts, predominantly in the posterior thalamic radiation, the sagittal stratum, and the corpus callosum; the strongest correlations were with SDMT measures, with contributions to these associations from both lesion and normal-appearing white matter. Moreover, results using threshold-free cluster enhancement (TFCE) showed more widespread white matter involvement compared to cluster-based thresholding. These findings indicate the important role for DTI in delineating mechanisms underlying MS-associated cognitive impairment and suggest that DTI could play a critical role in monitoring the clinical and cognitive effects of the disease.

Diffusion MR imaging: basic principles

From their origin as simple techniques primarily used for detecting acute cerebral ischemia, diffusion MR imaging techniques have rapidly evolved into a versatile set of tools that provide the only noninvasive means of characterizing brain microstructure and connectivity, becoming a mainstay of both clinical and investigational brain MR imaging. In this article, the basic principles required for understanding diffusion MR imaging techniques are reviewed with clinical neuroradiologists in mind.

MR imaging of multiple sclerosis

Owing to its ability to depict the pathologic features of multiple sclerosis (MS) in exquisite detail, conventional magnetic resonance (MR) imaging has become an established tool in the diagnosis of this disease and in monitoring its evolution. MR imaging has been formally included in the diagnostic work-up of patients who present with a clinically isolated syndrome suggestive of MS, and ad hoc diagnostic criteria have been proposed and are updated on a regular basis. In patients with established MS and in those participating in treatment trials, examinations performed with conventional MR pulse sequences provide objective measures to monitor disease activity and progression; however, they have a limited prognostic role. This has driven the application of newer MR imaging technologies, including higher-field-strength MR units, to estimate overall MS burden and mechanisms of recovery in patients at different stages of the disease. These techniques have allowed in vivo assessment of the heterogeneity of MS pathologic features in focal lesions and in normal-appearing tissues. More recently, some of the finer details of MS, including macrophage infiltration and abnormal iron deposition, have become quantifiable with MR imaging. The utility of these modern MR techniques in clinical trial monitoring and in the assessment of the individual patient's response to treatment still need to be evaluated.

Pronounced focal and diffuse brain damage predicts short-term disease evolution in patients with clinically isolated syndrome suggestive of multiple sclerosis

Background: In clinically isolated syndrome (CIS), the role of quantitative magnetic resonance imaging (MRI) in detecting prognostic markers is still debated.

Objective: To evaluate measures of diffuse brain damage (such as brain atrophy and the ratio of N-acetylaspartate to creatine (NAA/Cr)) in patients with CIS, in addition to focal lesions, as predictors of 1-year disease evolution.

Methods: 49 patients with CIS underwent MRI scans to quantify T2-lesions (T2-L) and gadolinium-enhanced lesion (GEL) number at baseline and after 1 year. Along with 25 healthy volunteers, they also underwent combined MRI/magnetic resonance spectroscopy examination to measure normalized brain volumes (NBVs) and NAA/Cr. Occurrence of relapses and new T2-L was recorded over 1 year to assess disease evolution.

Results: Occurrence of relapses and/or new T2-L over 1 year divided patients with CIS into ‘active’ and ‘stable’ groups. Active patients had lower baseline NAA/Cr and NBV. Baseline T2-L number, GEL, NAA/Cr and NBV predicted subsequent disease activity. Multivariable logistic regression models showed that both ‘focal damage’ (based on T2-L number and GEL) and ‘diffuse damage’ (based on NBV and NAA/Cr) models predicted disease activity at 1 year with great sensitivity, specificity and accuracy. This was best when the four MRI measures were combined (80% sensitivity, 89% specificity, 83% accuracy).

Conclusions: Quantitative MRI measures of diffuse tissue damage such as brain atrophy and NAA/Cr, in addition to measures of focal demyelinating lesions, may predict short-term disease evolution in patients with CIS, particularly when used in combination. If confirmed in larger studies, these findings may have important clinical and therapeutic implications.

Diffusion tensor imaging in multiple sclerosis: longitudinal changes

Evaluation of: Harrison DM, Caffo BS, Shiee N et al.: Longitudinal changes in diffusion tensor-based quantitative MRI in multiple sclerosis. Neurology 76(2), 179–186 (2011). This article reviews the study by Harrison et al., who assessed the feasibility of diffusion tensor imaging (DTI) and magnetization transfer (MT) ratio measures as surrogates of longitudinal changes in multiple sclerosis (MS) patients in order to integrate them into clinical trials. A total of 78 patients with MS underwent a magnetic resonance examination at baseline, 3 months, 6 months and 1 year, and yearly thereafter. The magnetic resonance sequences were DTI, MT, proton density/T2-weighted, fluid-attenuated inversion recovery and T1–3D sequence (MPRAGE). The indices with the highest longitudinal variation were the supratentorial qT2 (percentage change per year = +2.0), supratentorial fractional anisotropy (percentage change per year = -0.5) and corpus callosum fractional anisotropy (percentage change per year = -1.7); MT ratio yielded measurable longitudinal changes in all of the areas studied, although at a slower rate than those yielded by DTI. With 80% power, the number of participants (per trial arm) needed for a 12- or 24-month trial were calculated using each of the MRI indices as outcome measures. The DTI indices were those that provided the smaller, more convenient numbers. Further studies are required to assess these proposed MRI parameters, and these studies will need to analyze both a more homogeneous MS population and MS patients in an early disease phase who have undergone no treatment.

Gray- and white-matter changes 1 year after first clinical episode of multiple sclerosis: MR imaging

PURPOSE

To assess, by means of magnetic resonance (MR) imaging, the longitudinal changes in white matter (WM) and gray matter (GM) in a cohort of patients with clinically isolated syndrome (CIS) who were followed up for 1 year.

MATERIALS AND METHODS

This prospective, HIPAA-compliant study was approved by the institutional review board. Written informed consent was obtained from all the participants. Changes in GM and WM integrity were respectively investigated by using three-dimensional T1-weighted and diffusion-tensor (DT) imaging sequences and by applying voxel-based morphometry (VBM) and tract-based spatial statistics (TBSS) analyses. Thirty-four consecutive patients (21 women, 13 men; mean age, 32.8 years ± 7.7 [standard deviation]) who had CIS were recruited. All the patients underwent a neurologic and an MR examination at baseline and 12 months later; the MR examination consisted of three-dimensional T1-weighted dual-echo turbo spin-echo DT imaging. VBM and TBSS were used to analyze GM volume and WM fractional anisotropy, respectively.

RESULTS

After 1 year, multiple sclerosis (MS) was diagnosed in 33 (97%) of 34 patients with CIS. Longitudinal volumetric analysis revealed a significant (P < .001) reduction in global GM volume. The VBM analysis showed the development of regional GM atrophy involving several cortical and subcortical regions in both hemispheres (P < .05). No significant longitudinal change in global or regional WM fractional anisotropy was otherwise observed.

CONCLUSION

WM damage was detectable early and involved most fiber tracts in patients with MS, but it did not worsen significantly during the 1st year after clinical onset. In contrast, GM damage was not detectable at the time of clinical onset, but a significant decrease in cortical and deep GM volume was observed at 1 year.

Resting state networks change in clinically isolated syndrome

Task-functional magnetic resonance imaging studies have shown that early cortical recruitment exists in multiple sclerosis, which can partly explain the discrepancy between conventional magnetic resonance imaging and clinical disability. The study of the brain 'at rest' may provide additional information, because task-induced metabolic changes are relatively small compared to the energy use of the resting brain. We therefore questioned whether functional changes exist at rest in the early phase of multiple sclerosis, and addressed this question by a network analysis of no-task functional magnetic resonance imaging data. Fourteen patients with symptoms suggestive of multiple sclerosis (clinically isolated syndrome), 31 patients with relapsing remitting multiple sclerosis and 41 healthy controls were included. Resting state functional magnetic resonance imaging data were brought to standard space using non-linear registration, and further analysed using multi-subject independent component analysis and individual time-course regression. Eight meaningful resting state networks were identified in our subjects and compared between the three groups with non-parametric permutation testing, using threshold-free cluster enhancement to correct for multiple comparisons. Additionally, quantitative measures of structural damage were obtained. Grey and white matter volumes, normalized for head size, were measured for each subject. White matter integrity was investigated with diffusion tensor measures that were compared between groups voxel-wise using tract-based spatial statistics. Patients with clinically isolated syndrome showed increased synchronization in six of the eight resting state networks, including the default mode network and sensorimotor network, compared to controls or relapsing remitting patients. No significant decreases were found in patients with clinically isolated syndrome. No significant resting state synchronization differences were found between relapsing remitting patients and controls. Normalized grey matter volume was decreased and white matter diffusivity measures were abnormal in relapsing remitting patients compared to controls, whereas no atrophy or diffusivity changes were found for the clinically isolated syndrome group. Thus, early synchronization changes are found in patients with clinically isolated syndrome that are suggestive of cortical reorganization of resting state networks. These changes are lost in patients with relapsing remitting multiple sclerosis with increasing brain damage, indicating that cortical reorganization of resting state networks is an early and finite phenomenon in multiple sclerosis.