Daniela Pinter

Dynamics of brain iron levels in multiple sclerosis A longitudinal 3T MRI study

Objective: We investigated longitudinal changes in iron concentration in the subcortical gray matter (caudate nucleus, globus pallidus, putamen, thalamus) of patients with clinically isolated syndrome (CIS) and definite multiple sclerosis (MS) and their relation to clinical and other morphologic variables. Methods: We followed 144 patients (76 CIS; median Expanded Disability Status Scale [EDSS] 1.0 [interquartile range (IQR) 0.0–2.0]; 68 MS; median EDSS 2.0 [IQR 1.0–3.3]) clinically and with 3T MRI over a median period of 2.9 (IQR 1.3–4.0) years. Iron concentration was determined by R2* relaxometry at baseline and last follow-up. Results: At baseline, subcortical gray matter iron deposition was higher in MS compared to CIS. In CIS, R2* rates increased in the globus pallidus (p < 0.001), putamen (p < 0.001), and caudate nucleus (p < 0.001), whereas R2* rates in the thalamus decreased (p < 0.05). In MS, R2* rates increased in the putamen (p < 0.05), remained stable in the globus pallidus and caudate nucleus, and decreased in the thalamus (p < 0.01). Changes in R2* relaxation rates were unrelated to changes in the volume of respective structures, of T2 lesion load, and of disability. Conclusions: Iron accumulation in the basal ganglia is more pronounced in the early than later phases of the disease and occurs independent from other morphologic brain changes. Short-term changes in iron concentration are not associated with disease activity or changes in disability.

Higher education moderates the effect of T2 lesion load and third ventricle width on cognition in multiple sclerosis.

Background Previous work suggested greater intellectual enrichment might moderate the negative impact of brain atrophy on cognition. This awaits confirmation in independent cohorts including investigation of the role of T2-lesion load (T2-LL), which is another important determinant of cognition in MS. We here thus aimed to test this cognitive reserve hypothesis by investigating whether educational attainment (EA) moderates the negative effects of both brain atrophy and T2-LL on cognitive function in a large sample of MS patients. Methods 137 patients participated in the study. Cognition was assessed by the “Brief Repeatable Battery of Neuropsychological Tests.” T2-LL, normalized brain volume (global volume loss) and third ventricle width (regional volume loss) served as MRI markers. Results Both T2-LL and atrophy predicted worse cognition, with a stronger effect of T2-LL. Higher EA (as assessed by years of education) also predicted better cognition. Interactions showed that the negative effects of T2-LL and regional brain atrophy were moderated by EA. Conclusions In a cohort with different stages of MS, higher EA attenuated the negative effects of white matter lesion burden and third ventricle width (suggestive of thalamic atrophy) on cognitive performance. Actively enhancing cognitive reserve might thus be a means to reduce or prevent cognitive problems in MS in parallel to disease modifying drugs.

Cerebral small vessel disease, cognitive reserve and cognitive dysfunction

The concept of cognitive reserve describes differences between individuals in the ability to compensate age-related brain changes or pathology as a result of greater intellectual enrichment. Cerebral small vessel disease (CSVD) is a common age-related vascular disease of the brain associated with slowly accumulating tissue damage and represents a leading cause of functional loss, disability and cognitive decline in the elderly. The promotion of cognitive reserve might be a valuable possibility to moderate the negative impact of accumulating brain changes associated with CSVD on cognitive function and thus limit the functional consequences of CSVD. We here review existing studies investigating this topic in CSVD and provide conceptual considerations why future research is needed. Relevant studies were identified using the electronic databases PubMed and MEDLINE. Six studies including 7893 subjects were found that all focused on a single feature of CSVD only, i.e., white matter hyperintensities (WMH). We also included one study investigating 247 CADASIL patients. In general, they confirm that higher cognitive reserve (i.e., educational attainment) attenuates the negative impact of WMH on cognition. Further studies should attempt to replicate this association for all features of CSVD and to expand the concept to other areas of functional loss like disordered gait. Finally intervention studies will be needed to define when and how we can still increase our cognitive reserve and what kind and magnitude of protective effects this may offer.

Predictive value of different conventional and non-conventional MRI-parameters for specific domains of cognitive function in multiple sclerosis.

Objective While many studies correlated cognitive function with changes in brain morphology in multiple sclerosis (MS), few of them used a multi-parametric approach in a single dataset so far. We thus here assessed the predictive value of different conventional and quantitative MRI-parameters both for overall and domain-specific cognitive performance in MS patients from a single center. Methods 69 patients (17 clinically isolated syndrome, 47 relapsing–remitting MS, 5 secondary-progressive MS) underwent the “Brief Repeatable Battery of Neuropsychological Tests” assessing overall cognition, cognitive efficiency and memory function as well as MRI at 3 Tesla to obtain T2-lesion load (T2-LL), normalized brain volume (global brain volume loss), normalized cortical volume (NCV), normalized thalamic volume (NTV), normalized hippocampal volume (NHV), normalized caudate nuclei volume (NCNV), basal ganglia R2* values (iron deposition) and magnetization transfer ratios (MTRs) for cortex and normal appearing brain tissue (NABT). Results Regression models including clinical, demographic variables and MRI-parameters explained 22–27% of variance of overall cognition, 17–26% of cognitive efficiency and 22–23% of memory. NCV, T2-LL and MTR of NABT were the strongest predictors of overall cognitive function. Cognitive efficiency was best predicted by NCV, T2-LL and iron deposition in the basal ganglia. NTV was the strongest predictor for memory function and NHV was particularly related to memory function. Conclusions The predictive value of distinct MRI-parameters differs for specific domains of cognitive function, with a greater impact of cortical volume, focal and diffuse white matter abnormalities on overall cognitive function, an additional role of basal ganglia iron deposition on cognitive efficiency, and thalamic and hippocampal volume on memory function. This suggests the usefulness of using multiparametric MRI to assess (micro)structural correlates of different cognitive constructs.

Longitudinal fMRI studies: Exploring brain plasticity and repair in MS

Functional magnetic resonance imaging (fMRI) has greatly advanced our understanding of cerebral functional changes occurring in patients with multiple sclerosis (MS). However, most of our knowledge regarding brain plasticity and repair in MS as evidenced by fMRI has been extrapolated from cross-sectional studies across different phenotypes of the disease. This topical review provides an overview of this research, but also highlights limitations of existing fMRI studies with cross-sectional design. We then review the few existing longitudinal fMRI studies and discuss the feasibility and constraints of serial fMRI in individuals with MS. We further emphasize the potential to track fMRI changes in evolving disease and the insights this may give in terms of mechanisms of adaptation and repair, focusing on serial fMRI to monitor response to disease-modifying therapies or rehabilitation interventions. Finally, we offer recommendations for designing future research studies to overcome previous methodological shortcomings.

Impact of small vessel disease in the brain on gait and balance

Gait and balance impairment is highly prevalent in older people. We aimed to assess whether and how single markers of small vessel disease (SVD) or a combination thereof explain gait and balance function in the elderly. We analysed 678 community-dwelling healthy subjects from the Lothian Birth Cohort 1936 at the age of 71–74 years who had undergone comprehensive risk factor assessment, gait and balance assessment as well as brain MRI. We investigated the impact of individual SVD markers (white matter hyperintensity – WMH, microbleeds, lacunes, enlarged perivascular spaces, brain atrophy) as seen on structural brain MRI and of a global SVD score on the patients’ performance. A regression model revealed that age, sex, and hypertension significantly explained gait speed. Among SVD markers white matter hyperintensity (WMH) score or volume were additional significant and independent predictors of gait speed in the regression model. A similar association was seen with the global SVD score. Our study confirms a negative impact of SVD-related morphologic brain changes on gait speed in addition to age, sex and hypertension independent from brain atrophy. The presence of WMH seems to be the major driving force for SVD on gait impairment in healthy elderly subjects.

Serum neurofilament light is sensitive to active cerebral small vessel disease

Objective: To explore whether serum neurofilament light chain protein (NfL) levels are increased in patients with MRI-confirmed recent small subcortical infarcts (RSSI) compared to healthy controls and to determine the subsequent course and determinants of NfL levels in a longitudinal manner. Methods: In a prospectively collected group of symptomatic patients with an RSSI (n = 79, mean age 61 ± 11 years, 67% male), we analyzed brain MRI and serum NfL using a Single Molecule Array (Simoa) assay at baseline and at 3 and 15 months after stroke. Community-dwelling healthy age- and sex-matched individuals with comparable severity of MRI white matter hyperintensities (WMH) (n = 53) served as controls. Results: Patients with an RSSI had higher NfL baseline levels compared to controls (73.45 vs 34.59 pg/mL, p < 0.0001), and they were increasingly higher with the time from stroke symptom onset to blood sampling (median 4 days, range 1–11 days, rs = 0.51, p < 0.0001). NfL levels remained increased at the 3-month follow-up but returned to normal at 15 months after stroke. NfL levels were associated with RSSI size and baseline WMH severity and were especially high in patients with new, clinically silent cerebral small vessel disease (CSVD)–related lesions at follow-up. Conclusions: Serum NfL is increased in patients with an RSSI and the occurrence of new CSVD-related MRI lesions, even when clinically silent. This suggests NfL as a blood biomarker for active CSVD.

Reproducibility of Resting State Connectivity in Patients with Stable Multiple Sclerosis.

Given increasing efforts to use resting-state fMRI (rfMRI) as a biomarker of disease progression in multiple sclerosis (MS) we here explored the reproducibility of longitudinal rfMRI over three months in patients with clinically and radiologically stable MS. To pursue this aim, two approaches were applied in nine rfMRI networks: First, the intraclass correlation coefficient (ICC 3,1) was assessed for the mean functional connectivity maps across the entire network and a region of interest (ROI). Second, the ratio of overlap between Z-thresholded connectivity maps for each network was assessed. We quantified between-session functional reproducibility of rfMRI for 20 patients with stable MS and 14 healthy controls (HC). Nine rfMRI networks (RSNs) were examined at baseline and after 3 months of follow-up: three visual RSNs, the default-mode network, sensorimotor-, auditory-, executive control, and the left and right fronto-parietal RSN. ROI analyses were constrained to thresholded overlap masks for each individual (Z>0) at baseline and follow-up.In both stable MS and HC mean functional connectivity across the entire network did not reach acceptable ICCs for several networks (ICC<0.40) but we found a high reproducibility of ROI ICCs and of the ratio of overlap. ROI ICCs of all nine networks were between 0.98 and 0.99 for HC and ranged from 0.88 to 0.99 in patients with MS, respectively. The ratio of overlap for all networks was similar for both groups, ranging from 0.60 to 0.75.Our findings attest to a high reproducibility of rfMRI networks not only in HC but also in patients with stable MS when applying ROI analysis. This supports the utility of rfMRI to monitor functional changes related to disease progression or therapeutic interventions in MS.

Combined analysis of global and compartmental brain volume changes in early multiple sclerosis in clinical practice

Background: The extent and clinical significance of brain volume changes in different phases of multiple sclerosis (MS) is still under discussion. Objective: To determine the rate of global and compartmental brain volume changes in patients with a clinically-isolated syndrome (CIS) compared to patients with definite MS, by long-term follow-up and as a predictor of conversion to MS in a routine clinical setting. Methods: We investigated 120 patients (63 CIS and 57 MS) at baseline and after a mean follow-up period of 43 months, including detailed clinical examination and 3-Tesla magnetic resonance imaging (MRI). Our imaging analyses comprised the normalized brain volume (NBV), cortical grey matter (cGMV) and white matter (WMV) volumes using SIENA/X, the percentage of brain volume change (PBVC) using SIENA and the change in the volume of the thalami (TV) and basal ganglia (BGV). We also determined the amount and change of T2-lesion load (T2-LL). Results: At baseline, all the brain volume metrics, except cGMV, were significantly lower; and the T2-LL was significantly higher, in patients with MS rather than CIS. During the follow-up, only the PBVC was higher in MS (p = 0.008) and this difference was driven by converters from CIS to MS. Quartiles of PBVC did not allow us to predict conversion to MS, but were associated with the degree of disability. Conclusions: PBVC is the most sensitive marker of progressing atrophy and a higher PBVC was generally associated with more active disease; however, it did not serve to predict the course of MS on an individual basis, in this study.

Morphological MRI Characteristics of Recent Small Subcortical Infarcts

Background New imaging criteria for recent small subcortical infarcts have recently been proposed, replacing the earlier term ‘lacunar infarction’, but their applicability and impact on lesion selection is yet unknown. Aims To collect information on the morphologic characteristics and variability of recent small subcortical infarcts on magnetic resonance imaging in regard to lesion location and demographic variables. Methods We identified all patients with acute stroke and cerebral magnetic resonance imaging from 2008 to 2013 in our hospital database and selected those with a single recent small subcortical infarct defined by an estimated maximal axial diameter of 20 mm. Recent small subcortical infarcts were segmented on diffusion-weighted imaging and fluid-attenuated inversion recovery sequence to calculate the largest axial and longitudinal diameter and lesion volume. We assessed morphometric differences of recent small subcortical infarcts regarding location and demographic variables and the impact of different recent small subcortical infarct definitions on lesion selection. Results Three hundred forty-four patients (median age 72; range 25–92 years, 65% male) were selected. Most recent small subcortical infarcts were located in the basal ganglia (n = 111), followed by pons (n = 92), thalamus (n = 77), and centrum semiovale (n = 64). Quantitative measurements confirmed visual assessment of the axial diameter in 95%. All morphometric variables were strongly intercorrelated and comparable on diffusion-weighted imaging and fluid-attenuated inversion recovery sequence. Recent small subcortical infarcts in the basal ganglia were significantly larger both in the axial and longitudinal direction compared with other regions. Dichotomization of recent small subcortical infarcts according to axial (≤ / >15 mm) or longitudinal (≤ / >20 mm) sizes resulted in different regional frequencies and distributions. Age, gender, and time from stroke onset to magnetic resonance imaging did not influence lesion metrics or the distribution of recent small subcortical infarcts. Conclusions Our study confirms the recent neuroimaging criteria for recent small subcortical infarcts as a practical concept. Definitions of the maximal axial and longitudinal diameter have a significant impact on the frequency and distribution of selected infarcts, which has to be considered for future studies.