Objective-(a) To establish whether the cognitive decline of the early phase of relapsing-remitting multiple sclerosis depends on the progression of the burden of disease, or on the loss of brain parenchyma, or is influenced by both; (b) to monitor the loss of brain parenchyma in the early phase of the disease; and (c) to examine its possible relation with the progression of physical disability. Methods-For 2 years 53 patients with clinically definite relapsing-remitting multiple sclerosis with disease duration 1-5 years and expanded disability status scale<5.0 at baseline were monitored. The neuropsychological performances, the psychological functioning, the neurological impairment, and the disability have been assessed at baseline and after 2 years. Patients also underwent PD/T2 and T1 weighted brain MRI. T2 and T1 lesion volumes were measured by a semiautomatic technique. Quantification of brain parenchymal volumes was obtained using a highly reproducible computerised interactive program. The relation between cognitive impairment and MRI findings has been investigated by partial correlation and stepwise multiple regression analyses excluding the eVects of age, education, anxiety, depression, and total days of steroid use. Results-In the 2 years of the study the mean change for T2 and T1 lesion volumes and brain parenchymal volumes were +1.7 ml (95% confidence interval (95% CI) 1.3-2.2, p=0.005, (29.8%); +0.2 ml, 95% CI 0.15-0.26, p=0.004, (25%); and -32.3 ml, 95% CI 24.2-42.3, p<0.0001, (2.7%), respectively. Overall, 14 patients (26.4%) were judged to be cognitively impaired at baseline and 28 (52.8%) at the end of the follow up. Of the 18 neuropsychological tests and subtests employed in the study, patients with multiple sclerosis failed 5.8 (SD 2.3) tests at the baseline and 8.4 (SD 2.9) (p<0.0001) tests at the end of the study. When the cognitive changes were examined in individual patients, five (9.4%) of them were considered cognitively improved, 33 (62.3%) remained stable, and 15 (28.3%) worsened over 2 years. T2 and T1 volume changes in improved, stable, and worsened patients did not show any significant diVerence, whereas brain parenchymal volume decrease in cognitively worsened patients was significantly greater (−66 ml (5.4%), 95% CI 37-108.9, p=0.0031). The cognitive impairment was independently predicted over 2 years only by the change of brain parenchymal volumes (R=0.51, p=0.0003). Ten patients (18.9%), who worsened by one or more points in the EDSS during the follow up period had significant decreases in brain parenchymal volumes (−99 ml (8%), 95% CI 47.6-182.3, p=0.005). At the end of the study the loss of brain parenchyma correlated significantly with change in EDSS (r= 0.59, p<0.0001). Conclusions-In the early phase of relapsing-remitting multiple sclerosis the cognitive deterioration relies more on the development of brain parenchymal volume atrophy than on the extent of burden of disease in the brain. The loss of brain parenchymal volume underlies the progressive accumulation of phy...

In patients with RR-MS, treatment with pulses of IVMP slows development of T1 black holes, prevents or delays whole-brain atrophy, and prevents or delays disability progression. A phase III study of IVMP pulses is warranted.

The aim of the present study was to investigate the relationship between involvement of specific areas of the brain and the occurrence of depression and anxiety in patients with multiple sclerosis. We studied 95 patients (62 women and 33 men, mean age 39.5 years, SD 11.2) with definite MS, 97 patients (65 women and 32 men, mean age 40.7, SD 11.9) suffering from chronic rheumatoid diseases and 110 healthy subjects (71 women and 39 men, mean age 40.1, SD 12.7). The disability, the independence, the cognitive performances, the depressive and anxiety symptoms were assessed. The diagnosis of major depression was made according to the DSM-IV. The patients with multiple sclerosis underwent a 1.5 Tesla magnetic resonance examination including T1 and T2 weighted images. Calculation of regional and total lesion loads and brain volumes were performed. The number (%) of subjects with a diagnosis of major depression was 18 (18.9) among MS cases, 16 (16.5) among controls with chronic disease (p=NS), and 4 (3.6) among healthy volunteers (p < 0.0001). The Hamilton Depression and Anxiety rating scales median scores were 5 and 18, respectively in the MS patients, 5 (p= NS) and 14 (p= NS) in the chronic rheumatoid diseases controls, and 3 (p= < 0.0001) and 6 (p= < 0.0001) in the healthy controls. Both severity of depressive symptoms and diagnosis of major depression correlated, albeit weakly, with right frontal lesion load (r=0.22, p=0.035, and r=0.23, p=0.026, respectively) and right temporal brain volume (r=0.22, p=0.005 and r=0.22, p=0.036, respectively). The severity of depression was related significantly also with total temporal brain volume (r=0.26, p=0.012), right hemisphere brain volume (r=0.25, p=0.015), disability (r=0.30, p=0.003) and independence of MS cases (r=-0.26, p=0.01). The anxiety did not correlate significantly with any of the measures of regional and total lesion loads and brain volume or with any of the considered clinical variables. The similar frequency of depression and severity of depressive symptoms in MS patients and in chronic disease patients, the significant difference in this respect with the normal controls, and the significant correlation between depression and the disability measures would suggest a psychological reaction to the impact of the disease but the relationship between depression and the alterations in the frontal and temporal lobes of the right hemisphere supports, on the contrary, the causative role of organic brain damage. The lack of any significant association between symptoms of anxiety and either MRI abnormalities or clinical variables led us to the opinion that anxiety is a reactive response to the psychosocial pressure put on the patients.

Correlation studies between various conventional and non-conventional MRI parameters and cognitive impairment in the early stages of multiple sclerosis (MS) are lacking, although it is known that a number of patients with early MS have mild cognitive impairment. Our aim was to explore whether this cognitive impairment is dependent on the extent and severity of the burden of disease, diffuse microscopic brain damage or both. We studied 63 patients with clinically definite relapsing-remitting (RR) MS, duration of disease 1-10 years and Expanded disability status scale scores < or = 5.0. Mean age was 35.4 years, mean duration of disease 5.8 years and median EDSS score 1.5. Neuropsychological performance, psychological function, neurological impairment and disability were assessed. The patients also underwent MRI, including magnetisation-transfer (MT) studies. We quantified the lesion load on T2- and T1-weighted images, the magnetisation transfer ratio (MTR) of normal-appearing brain tissue (NABT) and the brain parenchymal fraction (BPF). No significant difference was found between lesion loads in patients with and without cognitive impairment. In 15 patients (23.8%) with overall cognitive impairment, median BPF and average NABT MTR were significantly lower than those in patients without cognitive impairment (0.868 vs 0.892, P = 0.02 and 28.3 vs 29.7 P = 0.046, respectively). Multiple regression analysis models demonstrated that the only variables independently correlated with cognitive impairment were: BPF (R = 0.89, P = 0.001) and average NABT MTR (R = 0.76, P = 0.012). Our findings support the hypothesis that, cognitive decline in patients with MS, a low disability score and short duration of disease is directly associated with the extent and severity of diffuse brain damage. The loss of brain parenchyma did not correlate with the severity of microscopic damage in the NABT, indicating that the two processes could be distinct in the early stages of the disease.

We assessed the risk of multiple sclerosis (MS) associated with a series of putative risk factors. We studied 140 patients (90 women) with MS (mean age, 42.1 years; SD= 10.2 years; disease duration, 10.9 years, SD= 7.5 years) and 131 sex-and age-matched controls. Using a structured questionnaire, we collected information related to demographic data, socio-economic status, education, ethnicity, changes of domiciles, migration, occupation, environmental, nutritional and hormonal factors, exposure to various bacterial and viral agents, vaccinations, and family history of diseases. In multiple logistic regression analysis, we found independent risk factors of MS to be: familiarity for MS (OR= 12.1; 95% CI, 1.3-110.7), autoimmune diseases (OR= 3.8; 95% CI, 2.0-7.1) and migraine (OR= 8.7; 95% CI, 1.0-75.4); comorbidity with autoimmune disease (OR= 6.8; 95% CI, 1.4-32.0) and migraine (OR= 13.5; 95% CI, 1.5-116.6); and vaccination against measles (OR= 92.2; 95%, 12.1-700.2). Familial susceptibility to MS, autoimmune diseases and migraine, and vaccination to measles are associated with an increased risk of MS. The data collected in this study are confirmatory and support the hypothesis that etiology of MS constitutes the effect of interplay between genetic and environmental risk factors. However, the relatively small number of cases and controls prevents firm conclusions.