scholarly journals Quantitative MRI-pathology correlations of brain white matter lesions developing in a non-human primate model of multiple sclerosis

2006 ◽  
Vol 20 (2) ◽  
pp. 90-103 ◽  
Author(s):  
Erwin L. A. Blezer ◽  
Jan Bauer ◽  
Herbert P. M. Brok ◽  
Klaas Nicolay ◽  
Bert A. 't Hart
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
White Matter Lesions ◽  
Quantitative Mri ◽  
Primate Model ◽  
Brain White Matter ◽  
Human Primate

Patient-specific 3D FLAIR for enhanced visualization of brain white matter lesions in multiple sclerosis

2016 ◽  
Vol 46 (2) ◽  
pp. 557-564
Author(s):  
Refaat E. Gabr ◽  
Amol S. Pednekar ◽  
Koushik A. Govindarajan ◽  
Xiaojun Sun ◽  
Roy F. Riascos ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
White Matter Lesions ◽  
Patient Specific ◽  
Brain White Matter ◽  
3D Flair

scholarly journals Gray matter atrophy in relapsing-remitting multiple sclerosis is associated with white matter lesions in connecting fibers

2021 ◽  
pp. 135245852110449
Author(s):  
Matthias Bussas ◽  
Sophia Grahl ◽  
Viola Pongratz ◽  
Achim Berthele ◽  
Christiane Gasperi ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Gray Matter ◽  
White Matter Lesions ◽  
Lesion Formation ◽  
Brain White Matter ◽  
Human Connectome Project ◽  
Relapsing Remitting ◽  
Healthy Control ◽  
Relapsing Remitting Multiple Sclerosis

Background: Lesions of brain white matter (WM) and atrophy of brain gray matter (GM) are well-established surrogate parameters in multiple sclerosis (MS), but it is unclear how closely these parameters relate to each other. Objective: To assess across the whole cerebrum whether GM atrophy can be explained by lesions in connecting WM tracts. Methods: GM images of 600 patients with relapsing-remitting MS (women = 68%; median age = 33.0 years, median expanded disability status scale score = 1.5) were converted to atrophy maps by data from a healthy control cohort. An atlas of WM tracts from the Human Connectome Project and individual lesion maps were merged to identify potentially disconnected GM regions, leading to individual disconnectome maps. Across the whole cerebrum, GM atrophy and potentially disconnected GM were tested for association both cross-sectionally and longitudinally. Results: We found highly significant correlations between disconnection and atrophy across most of the cerebrum. Longitudinal analysis demonstrated a close temporal relation of WM lesion formation and GM atrophy in connecting fibers. Conclusion: GM atrophy is associated with WM lesions in connecting fibers. Caution is warranted when interpreting group differences in GM atrophy exclusively as differences in early neurodegeneration independent of WM lesion formation.

Quantitative MRI adds to neuropsychiatric lupus diagnostics

Rheumatology ◽  
2020 ◽  
Author(s):  
Giuseppe A Ramirez ◽  
Maria A Rocca ◽  
Paolo Preziosa ◽  
Enrica P Bozzolo ◽  
Elisabetta Pagani ◽  
...  
Keyword(s):  
White Matter ◽  
Lupus Erythematosus ◽  
Damage Index ◽  
White Matter Lesions ◽  
Quantitative Mri ◽  
Clinical Impression ◽  
Lesion Volume ◽  
Healthy Controls ◽  
Hyperintense Lesion ◽  
Brain White Matter

Abstract Objective Attributing neuropsychiatric manifestations to SLE is often challenging. Brain white matter lesions are frequent in SLE at MRI, but their diagnostic role is unclear. Here, we assessed whether white matter lesions count, volume and distribution measurement can help in the diagnosis of neuropsychiatric systemic lupus erythematosus (NPSLE). Methods Brain dual-echo and 3D T1-weighted sequences were acquired from 32 patients with SLE and 32 healthy controls with a 3 T-scanner and employed to derive T2-hyperintense lesion volume (T2LV), number (T2LN) and probability maps (LPM) using a semi-automatic local thresholding segmentation technique. NPSLE was classified as per the ACR nomenclature, the Italian Society for Rheumatology algorithm and by clinical impression. Clinical descriptors including the SLE International Collaborating Clinics/ACR damage index (SDI) were also recorded. Results Higher T2LV were observed in SLE vs healthy controls (P < 0.001) and in NPSLE vs other SLE (P =0.006). Patients with NPSLE also had higher T2LN (P =0.003) compared with other SLE. In SLE, T2LPM revealed a high prevalence of lesions in the splenium of the corpus callosum, right superior longitudinal fasciculus and right corona radiata. T2LV and T2LN correlated with SLE duration (rho = 0.606; P <0.001 and rho = 0.483; P =0.005, respectively) and age (rho = 0.478; P =0.006 and rho = 0.362; P = 0.042, respectively). T2LV also correlated with SDI (rho = 0.352; P =0.048). SLE patients with fatigue had lower T2LN (P =0.038) compared with patients without fatigue. Thresholds of T2LV ≥ 0.423 cm3 or of T2LN ≥ 12 were associated with definite NPSLE and improved the classification of patients with possible NPSLE per clinical impression. Conclusion Brain white matter lesions (WML) quantitation adds to NPSLE diagnostics.

scholarly journals MS Atlas - A molecular map of brain lesion stages in progressive multiple sclerosis

2019 ◽  
Author(s):  
Tobias Frisch ◽  
Maria L. Elkjaer ◽  
Richard Reynolds ◽  
Tanja Maria Michel ◽  
Tim Kacprowski ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Drug Targets ◽  
De Novo ◽  
Neurodegenerative Disorder ◽  
Brain Lesion ◽  
White Matter Lesions ◽  
Progressive Multiple Sclerosis ◽  
Brain White Matter ◽  
The Central Nervous System

AbstractMultiple sclerosis (MS) is a chronic inflammatory neurodegenerative disorder of the central nervous system with an untreatable late progressive phase in a high percentage of patients. Molecular maps of different stages of brain lesion evolution in patients with progressive MS (PMS) are missing but critical for understanding disease development and to identify novel targets to halt progression. We introduce the first MS brain lesion atlas (msatlas.dk), developed to address the current challenges of understanding mechanisms driving the fate of PMS on lesion basis. The MS Atlas gives means for testing research hypotheses, validating candidate biomarkers and drug targets. The MS Atlas data base comprises comprehensive high-quality transcriptomic profiles of 73 brain white matter lesions at different stages of lesion evolution from 10 PMS patients and 25 control white matter samples from five patients with non-neurological disease. The MS Atlas was assembled from next generation RNA sequencing of post mortem samples using strict, conservative preprocessing as well as advanced statistical data analysis. It comes with a user-friendly web interface, which allows for querying and interactively analyzing the PMS lesion evolution. It fosters bioinformatics methods for de novo network enrichment to extract mechanistic markers for specific lesion types and pathway-based lesion type comparison. We describe examples of how the MS Atlas can be used to extract systems medicine signatures. We also demonstrate how its interface can interactively condense and visualize the atlas’ content. This compendium of mechanistic PMS white matter lesion profiles is an invaluable resource to fuel future multiple sclerosis research and a new basis for treatment development.

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