Harvard Catalyst Profiles

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Charles R.G. Guttmann, M.D.

Co-Author

This page shows the publications co-authored by Charles Guttmann and Bonnie Glanz.
Connection Strength

1.834
  1. History of fatigue in multiple sclerosis is associated with grey matter atrophy. Sci Rep. 2019 10 14; 9(1):14781.
    View in: PubMed
    Score: 0.223
  2. Microstructural fronto-striatal and temporo-insular alterations are associated with fatigue in patients with multiple sclerosis independent of white matter lesion load and depression. Mult Scler. 2020 11; 26(13):1708-1718.
    View in: PubMed
    Score: 0.220
  3. Evaluating the Association between Enlarged Perivascular Spaces and Disease Worsening in Multiple Sclerosis. J Neuroimaging. 2018 05; 28(3):273-277.
    View in: PubMed
    Score: 0.196
  4. Fatigue predicts disease worsening in relapsing-remitting multiple sclerosis patients. Mult Scler. 2016 12; 22(14):1841-1849.
    View in: PubMed
    Score: 0.173
  5. Microstructural changes in the striatum and their impact on motor and neuropsychological performance in patients with multiple sclerosis. PLoS One. 2014; 9(7):e101199.
    View in: PubMed
    Score: 0.155
  6. Identification and clinical impact of multiple sclerosis cortical lesions as assessed by routine 3T MR imaging. AJNR Am J Neuroradiol. 2011 Mar; 32(3):515-21.
    View in: PubMed
    Score: 0.122
  7. HLA (A-B-C and -DRB1) alleles and brain MRI changes in multiple sclerosis: a longitudinal study. Genes Immun. 2011 Apr; 12(3):183-90.
    View in: PubMed
    Score: 0.121
  8. Rate of brain atrophy in benign vs early multiple sclerosis. Arch Neurol. 2009 Feb; 66(2):234-7.
    View in: PubMed
    Score: 0.106
  9. Cognitive dysfunction in patients with clinically isolated syndromes or newly diagnosed multiple sclerosis. Mult Scler. 2007 Sep; 13(8):1004-10.
    View in: PubMed
    Score: 0.095
  10. The effect of alcohol and red wine consumption on clinical and MRI outcomes in multiple sclerosis. Mult Scler Relat Disord. 2017 Oct; 17:47-53.
    View in: PubMed
    Score: 0.047
  11. Characterizing Clinical and MRI Dissociation in Patients with Multiple Sclerosis. J Neuroimaging. 2017 09; 27(5):481-485.
    View in: PubMed
    Score: 0.046
  12. An expanded composite scale of MRI-defined disease severity in multiple sclerosis: MRDSS2. Neuroreport. 2014 Oct 01; 25(14):1156-61.
    View in: PubMed
    Score: 0.039
  13. No sex-specific difference in disease trajectory in multiple sclerosis patients before and after age 50. BMC Neurol. 2013 Jul 03; 13:73.
    View in: PubMed
    Score: 0.036
  14. Magnetic resonance disease severity scale (MRDSS) for patients with multiple sclerosis: a longitudinal study. J Neurol Sci. 2012 Apr 15; 315(1-2):49-54.
    View in: PubMed
    Score: 0.032
  15. Brain MRI lesion load at 1.5T and 3T versus clinical status in multiple sclerosis. J Neuroimaging. 2011 Apr; 21(2):e50-6.
    View in: PubMed
    Score: 0.031
  16. A putative Alzheimer's disease risk allele in PCK1 influences brain atrophy in multiple sclerosis. PLoS One. 2010 Nov 30; 5(11):e14169.
    View in: PubMed
    Score: 0.030
  17. HLA B*44: protective effects in MS susceptibility and MRI outcome measures. Neurology. 2010 Aug 17; 75(7):634-40.
    View in: PubMed
    Score: 0.030
  18. Smoking and disease progression in multiple sclerosis. Arch Neurol. 2009 Jul; 66(7):858-64.
    View in: PubMed
    Score: 0.027
  19. Incidence and factors associated with treatment failure in the CLIMB multiple sclerosis cohort study. J Neurol Sci. 2009 Sep 15; 284(1-2):116-9.
    View in: PubMed
    Score: 0.027
  20. Deep gray matter involvement on brain MRI scans is associated with clinical progression in multiple sclerosis. J Neuroimaging. 2009 Jan; 19(1):3-8.
    View in: PubMed
    Score: 0.026
  21. Predicting clinical progression in multiple sclerosis with the magnetic resonance disease severity scale. Arch Neurol. 2008 Nov; 65(11):1449-53.
    View in: PubMed
    Score: 0.026
  22. Predicting short-term disability in multiple sclerosis. Neurology. 2007 Jun 12; 68(24):2059-65.
    View in: PubMed
    Score: 0.024
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.