Harvard Catalyst Profiles

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Tanuja Chitnis, M.D.

Co-Author

This page shows the publications co-authored by Tanuja Chitnis and Charles Guttmann.
Connection Strength

2.956
  1. Microstructural Changes in the Left Mesocorticolimbic Pathway are Associated with the Comorbid Development of Fatigue and Depression in Multiple Sclerosis. J Neuroimaging. 2021 May; 31(3):501-507.
    View in: PubMed
    Score: 0.244
  2. MRI Lesion State Modulates the Relationship Between Serum Neurofilament Light and Age in Multiple Sclerosis. J Neuroimaging. 2021 Mar; 31(2):388-393.
    View in: PubMed
    Score: 0.244
  3. Temporal association of sNfL and gad-enhancing lesions in multiple sclerosis. Ann Clin Transl Neurol. 2020 06; 7(6):945-955.
    View in: PubMed
    Score: 0.233
  4. 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
  5. 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: 0.221
  6. 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: 0.197
  7. 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: 0.190
  8. Exploration of machine learning techniques in predicting multiple sclerosis disease course. PLoS One. 2017; 12(4):e0174866.
    View in: PubMed
    Score: 0.187
  9. Fatigue predicts disease worsening in relapsing-remitting multiple sclerosis patients. Mult Scler. 2016 12; 22(14):1841-1849.
    View in: PubMed
    Score: 0.174
  10. Quantitative MRI analysis in children with multiple sclerosis: a multicenter feasibility pilot study. BMC Neurol. 2013 Nov 13; 13:173.
    View in: PubMed
    Score: 0.148
  11. 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: 0.144
  12. Daclizumab use in patients with pediatric multiple sclerosis. Arch Neurol. 2012 Jan; 69(1):78-81.
    View in: PubMed
    Score: 0.130
  13. One year activity on subtraction MRI predicts subsequent 4 year activity and progression in multiple sclerosis. J Neurol Neurosurg Psychiatry. 2011 Oct; 82(10):1125-31.
    View in: PubMed
    Score: 0.123
  14. Regional white matter atrophy--based classification of multiple sclerosis in cross-sectional and longitudinal data. AJNR Am J Neuroradiol. 2009 Oct; 30(9):1731-9.
    View in: PubMed
    Score: 0.111
  15. Characterizing Clinical and MRI Dissociation in Patients with Multiple Sclerosis. J Neuroimaging. 2017 09; 27(5):481-485.
    View in: PubMed
    Score: 0.047
  16. Handling changes in MRI acquisition parameters in modeling whole brain lesion volume and atrophy data in multiple sclerosis subjects: Comparison of linear mixed-effect models. Neuroimage Clin. 2015; 8:606-10.
    View in: PubMed
    Score: 0.041
  17. Using multiple imputation to efficiently correct cerebral MRI whole brain lesion and atrophy data in patients with multiple sclerosis. Neuroimage. 2015 Oct 01; 119:81-8.
    View in: PubMed
    Score: 0.041
  18. 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
  19. Clinical relevance and functional consequences of the TNFRSF1A multiple sclerosis locus. Neurology. 2013 Nov 26; 81(22):1891-9.
    View in: PubMed
    Score: 0.037
  20. The impact of lesion in-painting and registration methods on voxel-based morphometry in detecting regional cerebral gray matter atrophy in multiple sclerosis. AJNR Am J Neuroradiol. 2012 Sep; 33(8):1579-85.
    View in: PubMed
    Score: 0.033
  21. 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: 0.033
  22. 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
  23. 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
  24. Smoking and disease progression in multiple sclerosis. Arch Neurol. 2009 Jul; 66(7):858-64.
    View in: PubMed
    Score: 0.027
  25. Spinal cord lesions and clinical status in multiple sclerosis: A 1.5 T and 3 T MRI study. J Neurol Sci. 2009 Apr 15; 279(1-2):99-105.
    View in: PubMed
    Score: 0.027
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.