White matter correlates of slowed information processing speed in unimpaired multiple sclerosis patients with young age onset-Reference-Cited by-同舟云学术

White matter correlates of slowed information processing speed in unimpaired multiple sclerosis patients with young age onset

Published:2020-08-03 Issue:3 Volume:15 Page:1460-1468
ISSN:1931-7557
Container-title:Brain Imaging and Behavior
language:en
Short-container-title:Brain Imaging and Behavior

Author:

Govindarajan Sindhuja Tirumalai,Liu Yilin,Parra Corral Maria Andrea,Bangiyev Lev,Krupp Lauren,Charvet Leigh,Duong Tim Q.

Funder

National Institutes of Health

National Multiple Sclerosis Society

Publisher

Springer Science and Business Media LLC

Subject

Behavioral Neuroscience,Psychiatry and Mental health,Cellular and Molecular Neuroscience,Neurology (clinical),Cognitive Neuroscience,Neurology,Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s11682-020-00345-z.pdf

Reference42 articles.

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2. Benedict, R. . H. ., DeLuca, J. ., Phillips, G. ., LaRocca, N. ., Hudson, L. . D. ., Rudick, R. ., & Multiple Sclerosis Outcome Assessments, C. (2017). Validity of the Symbol Digit Modalities Test as a cognition performance outcome measure for multiple sclerosis. Multiple Sclerosis, 23(5), 721–733. https://doi.org/10.1177/1352458517690821

3. Benedict, R. H., Fishman, I., McClellan, M., Bakshi, R., & Weinstock-Guttman, B. (2003). Validity of the beck depression inventory-fast screen in multiple sclerosis. Multiple Sclerosis Journal, 9(4), 393–396.

4. Bethune, A., Tipu, V., Sled, J. G., Narayanan, S., Arnold, D. L., Mabbott, D., & Banwell, B. (2011). Diffusion tensor imaging and cognitive speed in children with multiple sclerosis. Journal of the Neurological Sciences, 309(1–2), 68–74. https://doi.org/10.1016/j.jns.2011.07.019

5. Blaschek, A., Keeser, D., Muller, S., Koerte, I. K., Schroder, S., Muller-Felber, A., & Ertl-Wagner, W. (2013). Early white matter changes in childhood multiple sclerosis: a diffusion tensor imaging study. American Journal of Neuroradiology, 34(10), 2015–2020. https://doi.org/10.3174/ajnr.A3581

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