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7. The instrumented single leg stance test detects early balance impairment in people with multiple sclerosis.

8. Oligoclonal band phenotypes in MS differ in their HLA class II association, while specific KIR ligands at HLA class I show association to MS in general

9. Information from ecological momentary assessments lead to over-medicalization: Yes.

10. Genetic variants are major determinants of CSF antibody levels in multiple sclerosis

12. Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis.

13. Exploring Retinal Blood Vessel Diameters as Biomarkers in Multiple Sclerosis.

14. Stereotyped B‐cell responses are linked to IgG constant region polymorphisms in multiple sclerosis.

15. No differential gene expression for CD4+ T cells of MS patients and healthy controls

16. Early High Efficacy Treatment in Multiple Sclerosis Is the Best Predictor of Future Disease Activity Over 1 and 2 Years in a Norwegian Population-Based Registry.

17. High prevalence of fatigue in contemporary patients with multiple sclerosis.

18. LesionQuant for Assessment of MRI in Multiple Sclerosis—A Promising Supplement to the Visual Scan Inspection.

19. Peripapillary retinal layer thickness is associated with retinal oxygen saturation in newly diagnosed patients with multiple sclerosis.

20. Restriction spectrum imaging of white matter and its relation to neurological disability in multiple sclerosis.

21. No differential gene expression for CD4+ T cells of MS patients and healthy controls.

22. Environmental exposures and the risk of multiple sclerosis investigated in a Norwegian case-control study

23. Increased DNA methylation of SLFN12 in CD4+ and CD8+ T cells from multiple sclerosis patients.

24. Fatigue in multiple sclerosis is associated with socioeconomic factors.

25. Prevalence of multiple sclerosis among immigrants in Norway.

26. The influence of socioeconomic factors on access to disease modifying treatment in a Norwegian multiple sclerosis cohort.

27. Oligoclonal bands and age at onset correlate with genetic risk score in multiple sclerosis.

28. Oligoclonal Band Status in Scandinavian Multiple Sclerosis Patients Is Associated with Specific Genetic Risk Alleles.

29. No significant differences in absenteeism or academic achievements in a Norwegian multiple sclerosis case control study.

30. Maternal education has significant influence on progression in multiple sclerosis.

31. Clinical and laboratory characteristics during a 1‐year follow‐up in European Lyme neuroborreliosis: A prospective cohort study.

32. G127R: A novel SOD1 mutation associated with rapidly evolving ALS and severe pain syndrome.

34. The diagnostic value of IgG index versus oligoclonal bands in cerebrospinal fluid of patients with multiple sclerosis.

35. Retinal oximetry as a biomarker in multiple sclerosis.

36. Quantitative proteomic analyses of CD4+ and CD8+ T cells reveal differentially expressed proteins in multiple sclerosis patients and healthy controls.

37. Rebaseline no evidence of disease activity (NEDA-3) as a predictor of long-term disease course in a Norwegian multiple sclerosis population.

38. Serum neurofilament light chain concentration predicts disease worsening in multiple sclerosis.

39. No differential gene expression for CD4 + T cells of MS patients and healthy controls.

40. Restriction spectrum imaging of white matter and its relation to neurological disability in multiple sclerosis.

41. Increased DNA methylation of SLFN12 in CD4+ and CD8+ T cells from multiple sclerosis patients.

42. Environmental exposures and the risk of multiple sclerosis investigated in a Norwegian case-control study.

43. Oligoclonal bands and age at onset correlate with genetic risk score in multiple sclerosis.

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