We have showed that quantitative susceptibility mapping has superior sensitivity in the assessment of multiple sclerosis-related tissue changes in the basal ganglia than does R2* relaxation rate ma... PurposeTo apply quantitative susceptibility mapping (QSM) in the basal ganglia of patients with multiple sclerosis (MS) and relate the findings to R2* mapping with regard to the sensitivity for cli...

Objectives: Abnormal high cerebral iron deposition may be implicated in chronic neurologic disorders, including multiple sclerosis (MS). R2* relaxometry has been recently validated in a postmortem study to indicate brain iron accumulation in a quantitative manner. We used this technique to assess brain iron levels in different stages of MS and healthy controls (HC) and determined their relation with demographic, clinical, neuropsychological, and other imaging variables. Methods: We studied 113 consecutive patients (35 clinically isolated syndrome [CIS], 78 MS) and 35 HC with 3 T MRI and clinical and neuropsychological examination. Iron deposition in subcortical gray matter structures was assessed by automated, regional calculation of R2* rates. Results: Basal ganglia (BG) R2* levels were significantly increased in MS compared to CIS (p < 0.001) and HC (p < 0.005). They were correlated with age (r = 0.5, p < 0.001), disease duration (r = 0.5, p < 0.001), Expanded Disability Status Scale (r = 0.3, p < 0.005), and the z values of mental processing speed (r = −0.3, p < 0.01). Stepwise linear regression analysis revealed gray matter atrophy as the strongest independent predictor of BG R2* levels (p < 0.001), followed by age (p < 0.001) and T2 lesion load (p < 0.005). Conclusion: BG iron accumulation in MS occurs with advancing disease and is related to the extent of morphologic brain damage, which argues for iron deposition as an epiphenomenon. The absence of increased iron levels in patients with CIS indicates that iron accumulation does not precede the development of MS.

Background Increased iron deposition has been implicated in the pathophysiology of multiple sclerosis (MS), based on visual analysis of signal reduction on T₂-weighted images. R₂* relaxometry allows to assess brain iron accumulation quantitatively. Objective To investigate regional brain iron deposition in patients with a clinically isolated syndrome (CIS) or relapsing–remitting MS (RRMS) and its associations with demographical, clinical, and conventional magnetic resonance imaging (MRI) parameters. Methods We studied 69 patients (CIS, n = 32; RRMS, n = 37) with 3T MRI and analyzed regional R₂* relaxation rates and their correlations with age, disease duration, disability, T₂ lesion load, and normalized brain volumes. Results Basal ganglia R₂* relaxation rates increased in parallel with age ( r = 0.3–0.6; P < 0.01) and were significantly higher in RRMS than in CIS ( P < 0.05). Using multivariate linear regression analysis, the rate of putaminal iron deposition was independently predicted by the patients’ age, disease duration, and gray matter atrophy. Conclusions Quantitative assessment by R₂* relaxometry suggests increased iron deposition in the basal ganglia of MS patients, which is associated with disease duration and brain atrophy. This technique together with long-term follow-up thus appears suited to clarify whether regional iron accumulation contributes to MS morbidity or merely reflects an epiphenomenon.

Objectives: Cognitive dysfunction (CD) is frequent in multiple sclerosis (MS) and can occur at early stages. Whereas functional reorganization with disease progression has been described for the motor system in MS using fMRI, no such studies exist for cognition. We attempted to assess the concept of functional reorganization concerning cognition using a simple “Go/No-go” fMRI paradigm. Methods: Patients with a clinically isolated syndrome (CIS, n = 10), relapsing-remitting MS (RRMS) (n = 10), or secondary progressive MS (SPMS) (n = 10), and 28 healthy controls (HC), underwent a comprehensive neuropsychological test battery, clinical examination, structural imaging, and an fMRI Go/No-go discrimination task at 3 T. Results: Patients performed worse than HC regarding memory, sustained attention and concentration, and information processing. These differences were driven by patients with SPMS. The fMRI task elicited activation in a widespread network including bilateral mesial and dorsolateral frontal, parietal, insular, basal ganglia, and cerebellar regions. Task performance was similar between phenotypes, but deviation from the activation pattern observed in HC and patients with CIS increased with disease progression. Patients with RRMS showed increased brain activation in the precuneus, both superior parietal lobes, and the right fusiform gyrus, and recruited the hippocampus with increasing demands. Patients with SPMS demonstrated the most abnormal network function, including recruitment of pre-SMA, bilateral superior and inferior parietal, dorsolateral prefrontal, right precentral, bilateral postcentral, and right temporal brain areas. Conclusion: Using a cognitive fMRI paradigm, we were able to confirm adaptive changes of neuronal activation with progressing MS and to provide strong evidence for their compensatory nature, at least partially.

Background: Lesion dissemination in time and space represents a key feature and diagnostic marker of multiple sclerosis (MS). The correlation between magnetic resonance imaging (MRI) lesion load and disability is only modest, however. Strategic lesion location might at least partially account for this ‘clinico-radiologic paradox’. Objectives: Here we used a non-parametric permutation-based approach to map lesion location probability based on MS lesions identified on T2-weighted MRI. We studied 121 patients with clinically isolated syndrome, relapsing–remitting or secondary progressive MS and correlated these maps to assessments of neurologic and cognitive functions. Results: The Expanded Disability Status Scale correlated with bilateral periventricular lesion location (LL), and sensory and coordination functional system deficits correlated with lesion accumulation in distinct anatomically plausible regions, i.e. thalamus and middle cerebellar peduncule. Regarding cognitive performance, decreased verbal fluency correlated with left parietal LL comprising the putative superior longitudinal fascicle. Delayed spatial recall correlated with _amygdalar, _left frontal and parietal LL. Delayed selective reminding correlated with bilateral frontal and temporal LL. However, only part of the spectrum of cognitive and neurological problems encountered in our cohort could be explained by specific lesion location. Conclusions: Lesion probability mapping supports the association of specific lesion locations with symptom development in MS, but only to limited extent.

Background: Cognitive deficits are frequent in multiple sclerosis (MS) and have been associated with morphologic brain changes. Less information exists on their extent and relation to MRI findings in clinically isolated syndrome (CIS). It is also unclear if structural changes as detected by magnetization transfer (MT) imaging may provide an additional explanation for cognitive dysfunction. Objective: To analyse the extent of cognitive deficits and their relation to MRI metrics including MT imaging in CIS compared to relapsing-remitting MS (RRMS). Methods: Forty-four CIS and 80 RRMS patients underwent the Brief Repeatable Battery of Neuropsychological Tests (BRB-N) and a 3 T MRI scan. Results: BRB-N subtests revealed similar results in CIS and RRMS. Impaired mental processing speed was most prevalent in both groups (CIS 13.6%; RRMS 16.3%) and thus served for correlation with MRI metrics. Using stepwise linear regression analyses, the strongest predictor for decreased mental processing speed was normalized cortex volume ( p < 0.001) followed by T₂-lesion load ( p < 0.05) in RRMS, whereas cortical MT ratio was the only MRI parameter associated with decreased mental processing speed in CIS ( p < 0.005). Conclusion: Cognitive dysfunction occurs in CIS in a pattern similar to RRMS, with impaired mental processing speed being most prevalent. Cortical MT-ratio changes may be an early sign for tissue changes related to impaired mental processing speed in CIS while this association shifts to increased signs of cortical atrophy and lesion load in RRMS.