In multiple sclerosis (MS), iron accumulates inside activated microglia/macrophages at edges of some chronic demyelinated lesions, forming rims. In susceptibility-based magnetic resonance imaging at 7 T, iron-laden microglia/macrophages induce a rim of decreased signal at lesion edges and have been associated with slowly expanding lesions. We aimed to determine (1) what lesion types and stages are associated with iron accumulation at their edges, (2) what cells at the lesion edges accumulate iron and what is their activation status, (3) how reliably can iron accumulation at the lesion edge be detected by 7 T magnetic resonance imaging (MRI), and (4) if lesions with rims enlarge over time in vivo, when compared to lesions without rims. Double-hemispheric brain sections of 28 MS cases were stained for iron, myelin, and microglia/macrophages. Prior to histology, 4 of these 28 cases were imaged at 7 T using post-mortem susceptibility-weighted imaging. In vivo, seven MS patients underwent annual neurological examinations and 7 T MRI for 3.5 years, using a fluid attenuated inversion recovery/susceptibility-weighted imaging fusion sequence. Pathologically, we found iron rims around slowly expanding and some inactive lesions but hardly around remyelinated shadow plaques. Iron in rims was mainly present in microglia/macrophages with a pro-inflammatory activation status, but only very rarely in astrocytes. Histological validation of post-mortem susceptibility-weighted imaging revealed a quantitative threshold of iron-laden microglia when a rim was visible. Slowly expanding lesions significantly exceeded this threshold, when compared with inactive lesions (p = 0.003). We show for the first time that rim lesions significantly expanded in vivo after 3.5 years, compared to lesions without rims (p = 0.003). Thus, slow expansion of MS lesions with rims, which reflects chronic lesion activity, may, in the future, become an MRI marker for disease activity in MS.Electronic supplementary materialThe online version of this article (doi:10.1007/s00401-016-1636-z) contains supplementary material, which is available to authorized users.

Multiple sclerosis is characterized by widespread primary demyelination and progressive degeneration, driven by heterogeneous mechanisms. Haider et al. provide a topographic map of the frequency with which different brain regions are affected by these processes, and show that demyelination and neurodegeneration involve inflammatory as well as vascular changes.

Previous authors have shown that the transverse relaxivity R 2 * and frequency shifts that characterize gradient echo signal decay in magnetic resonance imaging are closely associated with the distribution of iron and myelin in the brain's white matter. In multiple sclerosis, iron accumulation in brain tissue may reflect a multiplicity of pathological processes. Hence, iron may have the unique potential to serve as an in vivo magnetic resonance imaging tracer of disease pathology. To investigate the ability of iron in tracking multiple sclerosis-induced pathology by magnetic resonance imaging, we performed qualitative histopathological analysis of white matter lesions and normal-appearing white matter regions with variable appearance on gradient echo magnetic resonance imaging at 7 Tesla. The samples used for this study derive from two patients with multiple sclerosis and one non-multiple sclerosis donor. Magnetic resonance images were acquired using a whole body 7 Tesla magnetic resonance imaging scanner equipped with a 24-channel receive-only array designed for tissue imaging. A 3D multi-gradient echo sequence was obtained and quantitative R 2 * and phase maps were reconstructed. Immunohistochemical stainings for myelin and oligodendrocytes, microglia and macrophages, ferritin and ferritin light polypeptide were performed on 3-to 5-mm thick paraffin sections. Iron was detected with Perl's staining and 3,3 0 -diaminobenzidine-tetrahydrochloride enhanced Turnbull blue staining.In multiple sclerosis tissue, iron presence invariably matched with an increase in R 2 *. Conversely, R 2 * increase was not always associated with the presence of iron on histochemical staining. We interpret this finding as the effect of embedding, sectioning and staining procedures. These processes likely affected the histopathological analysis results but not the magnetic resonance imaging that was obtained before tissue manipulations. Several cellular sources of iron were identified. These sources included oligodendrocytes in normal-appearing white matter and activated macrophages/microglia at the edges of white matter lesions. Additionally, in white matter lesions, iron precipitation in aggregates typical of microbleeds was shown by the Perl's staining. Our combined imaging and pathological study shows that multi-gradient echo magnetic resonance imaging is a sensitive technique for the identification of iron in the brain tissue of patients with multiple sclerosis. However, magnetic resonance doi:10.1093/brain/awr278 imaging-identified iron does not necessarily reflect pathology and may also be seen in apparently normal tissue. Iron identification by multi-gradient echo magnetic resonance imaging in diseased tissues can shed light on the pathological processes when coupled with topographical information and patient disease history.

T1 black holes (BHs) on MRIs may represent either areas of oedema or axonal loss in patients with multiple sclerosis. BHs begin as contrast enhancing lesions (CELs) and evolve differently from patient to patient, and within the same patient over time. We analysed BHs formation over a 4-year period. Forty-eight monthly MRIs of nine non-treated multiple sclerosis patients were evaluated for numbers of CELs and BHs. A BH was defined as a hypointense lesion on a T1 pre-contrast image that coincided with a region of high signal intensity on the T2-weighted images. A BH was considered as acute (ABH) when it occurred coincidently with the presence of enhancement and as persisting (PBH) when present after the cessation of enhancement. The present study aimed to analyse: (i) the incidence of CELs and new PBHs, and the accumulation of PBHs; (ii) the relationship between the quantity of the CELs in a given month and the likelihood of accumulating PBHs in the subsequent month; and (iii) the relationship between the duration of CELs and PBHs. Pitman's correlation test evaluated the effect of time on either the increase of CELs and new PBHs or the accumulation of PBHs, while a multiple logistic regression analysis evaluated the relationship between progression of time and CELs, and the increase of PBHs in a multivariate model. The relationship between the enhancing lesions duration and the PBHs duration, or the time to revert back to an isointense lesion was analysed using Kaplan-Meier survival models. PBHs accumulated (P < 0.001) in all patients, but the formation of new PBHs increased in four patients (P < or = 0.007) in conjunction with an increase in either the quantity of CELs (P < 0.001, for two patients) or the proportion of CELs turning into PBHs (P < or = 0.02, for two patients). Logistic regression analysis showed that neither progression of time nor the number of CELs in a given month were able to predict the probability of increasing the number of PBHs in the subsequent month in any patient. Out of 397 ABHs, 55.7% evolved to a PBH. The duration of PBHs correlated with the duration of enhancement. PBHs preceded by CELs observable on a single MRI persisted for a shorter time (P < 0.002) than those preceded by CELs visible on > or =2 monthly MRIs. The formation of a new PBH was found to be related to CELs activity; however, duration of PBHs is most likely a consequence of the duration of the enhancement.