Spinal cord MRI activity in multiple sclerosis: Predictive value for relapses and impact on treatment decisions.

INTRODUCTION: Emerging evidence suggests the prognostic value of spinal cord (SC) pathology in multiple sclerosis (MS). However, the 2021 MAGNIMS-CMSC-NAIMS guidelines don't recommend routine SC MRI for disease monitoring. This study investigates the frequency of new asymptomatic and isolated SC lesions, exploring their potential to predict clinical activity and guide treatment decisions. METHODS: We enrolled relapsing-remitting MS (RRMS) patients who underwent brain and SC MRI at baseline and after 12 months. New, enlarged, or gadolinium-enhanced (Gd+) lesions on MRI were considered disease activity markers. Clinical relapses and treatment changes observed 3 months after the 12-month MRI were analyzed using regression analysis, evaluating their association with worsening SC findings. RESULTS: A total of 201 RRMS patients (56 males, 27.9%, mean age 42.5 ± 12.1 years, mean EDSS 2.7 ± 1.9) were included. Isolated worsening of T2 lesion burden in the SC occurred in 16 patients (8%), and 12 (6%) had Gd + lesions. Among patients without brain MRI activity (n = 138), regression analysis revealed a significant association between new Gd + SC lesions and clinical relapses within 3 months of the 12-month MRI (p = 0.024). Worsening SC findings (p = 0.021) and SC lesion enhancement (p = 0.046) emerged as key factors influencing disease-modifying therapy changes within 3 months in these patients. Notably, even without clinical symptoms, worsening SC findings significantly predicted treatment changes (p = 0.003). CONCLUSION: Our findings highlight the independent value of SC MRI findings in MS monitoring. Importantly, isolated and asymptomatic SC worsening significantly impacted treatment decisions.

Event-related potentials and deep grey matter atrophy in multiple sclerosis: Exploring the possible associations with cognition.

BACKGROUND: Event-related potentials (ERPs) have been proposed as a neurophysiological biomarker to capture cognitive dysfunction in multiple sclerosis (MS). Few studies have evaluated the relationships between ERPs and brain atrophy as known marker of structural brain damage related to cognitive impairment (CI). OBJECTIVES: To explore the relationships of brain atrophy, including of the cortex and deep grey matter, with ERP abnormalities and cognitive function, as defined using the Brief Repeatable Battery of Neuropsychological Tests (BRBN). RESULTS: Seventy-eight patients with relapsing-remitting MS were enroled, of which 38 (48.7%) had CI. Independent t-test comparisons of the ERP parameters found a significant difference in P300 wave latency, with a latency of 343.7 ± 32.6 ms in the CI group vs. 320.3 ± 16.5 ms in the cognitively preserved (CP) group (p = 0.001). Significant differences in the MRI measurements, including the cortex (p = 0.02) and deep grey matter structures [thalamus (p = 0.001), amygdala (p = 0.030), and nucleus accumbens (p = 0.004)) were observed, with lower measurements in the CI group. Regression models were also performed to explore the impact of brain volumes on ERP parameters. This showed a relationship between P300 latency and the lower amygdala (p = 0.02) and hippocampus (p = 0.03) volumes, while the amplitude of the P300 was significantly associated with a lower cortex volume (p = 0.01). CONCLUSION: Cortex volume emerged as the most significant predictor of the P300 amplitude. The amygdala and hippocampal volumes were found to influence P300 latency, highlighting the role of deep grey matter atrophy in ERPs for the first time. The combination of structural MRI and neurophysiological techniques, sensitive to diverse aspects of MS pathology, could improve the understanding of CI in MS and its neurodegenerative and inflammatory substrate.

Bipolar disorders and deep grey matter in multiple sclerosis: A preliminary quantitative MRI study.

BACKGROUND: Bipolar disorder (BD) is frequently observed in patients affected by multiple sclerosis (MS), presenting a lifetime estimate of around 8%. However, uncertainty exists on the brain damage associated with this psychiatric comorbidity. This study aimed to investigate the effect of brain atrophy, particularly that of the subcortical grey matter (scGM) structures that notoriously regulate the affective functioning, on the co-occurrence of BD in patients with MS. METHODS: A group of patients with MS affected by BD and a control group of patients with MS without any mood/psychiatric disorder, as defined using standardised diagnostic tools (Advanced Neuropsychiatric Tools and Assessment Schedule), were recruited. The patients underwent brain MRI, and the volumes of the whole brain (WB), white matter (WM), and grey matter (GM) were estimated using SIENAX. Thus, the scGM volumes of the putamen, caudate, thalamus, hippocampus, amygdala, nucleus accumbens, and pallidus were estimated using the FIRST tool. RESULTS: The sample included 61 patients with MS, amongst whom 15 (24.6%) had BD. No differences in the WB, WM, and cortical GM volumes were observed between the patients with MS with and without BD. Conversely, the multiple regression analysis revealed a significant association of BD with lower volumes of the putamen (p = 0.032), nucleus accumbens (p = 0.029), and pallidus (p = 0.061; with a trend towards significance), independently from the demographic and MS clinical features. CONCLUSIONS: Our preliminary results indicated that the nucleus accumbens and putamen are smaller in MS patients with BD. Further investigations in larger cohorts of MS patients with affective disorders are necessary to confirm these data and understand the structural brain damage underlying this psychiatric comorbidity.

The impact of deep grey matter volume on cognition in multiple sclerosis.

BACKGROUND: Cognitive dysfunctions are very frequent in people living with multiple sclerosis (MS). Several studies have previously indicated grey matter (GM) atrophy as useful predictor of patients' cognitive impairment. However, considerable uncertainty exists about the possible impact of deep grey matter volumes on cognition. This study aimed to evaluate the relationship of the subcortical (sc) GM volumes with the presence and severity of global and selective cognitive impairment in MS. METHODS: A group of MS patients with relapsing remitting course were enrolled. Patients underwent a neuropsychological evaluation by using the Brief Repeatable Battery of Neuropsychological Tests (BRBN) and the Delis-Kaplan Executive Function System Sorting Test (D-KEFST); z scores were estimated and items with z score below 2 standard deviation were considered failed. Thus, brain MRIs images were acquired and measurements of whole brain (WB), white matter (WM), and cortical grey matter (GM) were obtained by SIENAX. After FIRST tool segmentation, volumes of subcortical GM structures were also estimated. RESULTS: The sample included 50 MS patients, of which 16/50 (32%) subjects were cognitively impaired. Multiple regression analyses found a significant association of severity of cognitive impairment, defined as number of failed neuropsychological tests, with lower volumes of cortex (p=0.003), thalamus (p=0.009), caudate (p=0.011), putamen (p=0.020), pallidus (p=0.012) and hippocampus (p=0.045), independently from other MS features. In addition, an association between accumbens volume and D-KEFS ST FSC and D-KEFS ST FSD z scores was observed (p<0.03). CONCLUSIONS: Our results indicated that volumes of several scGM structures, and in particular of thalamus, contribute to determine cognitive dysfunctions in MS, mainly influencing the executive functioning. Further investigations in larger MS cohorts with cognitive impairment are necessary to better understand the structural brain damage underlying this "invisible disability".

Assessing the burden of vascular risk factors on brain atrophy in multiple sclerosis: A case- control MRI study.

BACKGROUND: Some studies have indicated the importance of considering the presence of vascular comorbidities as negative prognostic factors for MRI outcomes in multiple sclerosis (MS). This study aimed to evaluate the possible influence of the most frequent vascular risk factors on brain volume in MS, also exploring the burden of their combined effects. METHODS: MS patients with at least one vascular risk factor and a control group of MS patients were enrolled. Patients underwent brain MRI and the volumes of the whole brain (WB), white matter (WM), grey matter (GM), and cortical GM were estimated by SIENAX. Longitudinal atrophy was assessed by SIENA. RESULTS: The sample included 326 MS patients, of these 49 (15%) had diabetes mellitus, 44 (13.4%) hypertension and 50 (15.3%) were active smokers. Multiple regression analyses revealed that diabetes mellitus was associated with significant reductions in WB (p = 0.03), GM and cortical GM (p = 0.01) volumes. Similarly, reduced cortical GM volume was associated with hypertension (p < 0.05). A strong relationship between the co-occurrence of multiple vascular risk factors and lower cortical GM volume (p = 0.007) was also identified. Ninety patients were included in the longitudinal study and a greater annualized brain volume loss was found in those with at least one vascular risk factor than in the control group (-1.05% vs. -0.58%, p = 0.005). CONCLUSIONS: Our results show that the vascular comorbidities affect brain atrophy, indicating that these conditions should be carefully monitored in patients with MS with a focus on limiting brain damage.

Adult brain volume in multiple sclerosis: The impact of paediatric onset.

BACKGROUND: Paediatric onset multiple sclerosis (POMS) is associated with reduced brain and deep grey matter volume in comparison with that in healthy controls and individuals with adult onset multiple sclerosis (AOMS). The aim of our study was to evaluate the impact of POMS on adult brain volume with adjustment for other parameters, such as disease duration. PATIENTS AND METHODS: We recruited 20 POMS and 40 AOMS patients and 20 healthy controls matched for age and sex. All study participants were adults at the time of inclusion in the study. All study subjects underwent brain magnetic resonance imaging (MRI) to evaluate whole brain, white matter, grey matter, cortical, and deep grey matter volumes. Clinical features, such as the Expanded Disability Status Scale (EDSS) score and disease duration, were also assessed. RESULTS: Brain (p = 0.01), grey matter (p = 0.01), and deep grey matter volume (p = 0.03) was significantly lower in POMS patients than in AOMS patients, while no differences were detected in the volume of white matter or cortical grey matter. A multiple linear regression analysis showed a relationship between brain volume (dependent variable) and the independent variables age (p < 0.000) and paediatric onset (p < 0.001), while other independent variables, including disease duration, sex, and disability, were not significantly different among groups. There were significant differences in thalamic volume among POMS and AOMS patients and healthy controls. CONCLUSION: Our data support the previous findings that POMS patients have reduced brain and deep grey matter volume, particularly thalamic volume, compared with sex- and age-matched AOMS patients and healthy controls. These findings appear to be independent of disease duration and other clinical features.

Cognition in multiple sclerosis: Between cognitive reserve and brain volume.

BACKGROUND: Several correlations between cognitive impairment (CI), radiologic markers and cognitive reserve (CR) have been documented in MS. OBIECTIVE: To evaluate correlation between CI and brain volume (BV) considering CR as possibile mitigating factor. METHODS: 195 relapsing MS patients underwent a neuropsychological assessment using BICAMS. BV was estimated using SIENAX to obtain normalized volume of brain (NBV), white matter (NWV), gray matter (NGV) and cortical gray matter (CGV). CR was estimated using a previously validated tool. RESULTS: Pearson test showed a correlation between the symbol digit modality test (SDMT) score and NBV (r=0.38; p<0.000) NGV(r=0.31; p<0.000), CGV (r=0.35; p<0.000) and CRI score(r=0.42; p<0.000). Linear regression (dependent variable:SDMT) showed a relationship with CR scores (p=0.000) and NGV(p<0.000). A difference was detected between cognitive impaired and preserved patients regarding mean of NBV(p=0.002), NGV(p=0.007), CGV(p=0.002) and CR Scores (p=0.007). Anova showed a association between the presence of CI (dependent variable) and the interaction term CRIQ × CGV (p=0.004) whit adjustment for age and disability evaluated by EDSS. CONCLUSIONS: Our study shows a correlation between cognition and BV, in particular gray matter volume. Cognitive reserve is also confirmed as an important element playing a role in the complex interaction to determine the cognitive functions in MS.

Brain volume in early MS patients with and without IgG oligoclonal bands in CSF.

BACKGROUND: Oligoclonal bands of IgG (OB) are proposed as an early prognostic factor of the disease. Growing attention is directed towards brain volume evaluation as a possible marker of the severity of MS. Previous studies found that MS patients lacking OB have less brain atrophy. AIM: to evaluate a possible relationship between OB and cerebral volume in a cohort of early MS patients. METHODS: Inclusion criteria were: diagnosis of relapsing-remitting MS; CSF analysis and MRI acquired simultaneously and within 12 months from clinical onset. A total of 15 healthy controls underwent MRI. RESULTS: In 20 MS patients, CSF analysis did not show OB synthesis (OB negative group). A control group of 25 MS patients in whom OB was detected was also randomly recruited (OB positive group). T test showed a significant difference in NWV between the OB positive and OB negative groups (P value = 0.01), and between the OB positive group and the healthy controls (P value = 0.001). No differences were detected between OB negative group and healthy controls. Multivariable linear regression showed a relationship between NWV and OB synthesis (P value = 0.02) controlling for age, gender, and EDSS. CONCLUSIONS: Our preliminary results suggest that OB positive patients show more atrophy of white matter since early phases of the disease, supporting the role of CSF analysis as a prognostic factor in MS.

'Timed up and go' and brain atrophy: a preliminary MRI study to assess functional mobility performance in multiple sclerosis.

Motor and cognitive disabilities are related to brain atrophy in multiple sclerosis (MS). 'Timed up and go' (TUG) has been recently tested in MS as functional mobility test, as it is able to evaluate ambulation/coordination-related tasks, as well as cognitive function related to mobility. The objective of this study is to evaluate the relationship between brain volumes and TUG performances. Inclusion criteria were a diagnosis of MS and the ability to walk at least 20 m. TUG was performed using a wearable inertial sensor. Times and velocities of TUG sub-phases were calculated by processing trunk acceleration data. Patients underwent to a brain MRI, and volumes of whole brain, white matter (WM), grey matter (GM), and cortical GM (C) were estimated with SIENAX. Sixty patients were enrolled. Mean age was 41.5 ± 11.6 years and mean EDSS 2.3 ± 1.2. Total TUG duration was correlated to lower WM (ρ = 0.358, p = 0.005) and GM (ρ = 0.309, p = 0.017) volumes. A stronger association with lower GM volume was observed for intermediate (ρ = 0.427, p = 0.001) and final turning (ρ = 0.390, p = 0.002). TUG is a useful tool in a clinical setting as it can not only evaluate patients' disability in terms of impaired functional mobility, but also estimate pathological features, such as grey atrophy.