This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (572) Dementia and Cognitive Decline (502) Neurology and Neurosciences (192) Chronic Conditions (278)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59876, first published .
Optimizing Detection and Prediction of Cognitive Function in Multiple Sclerosis With Ambulatory Cognitive Tests: Protocol for the Longitudinal Observational CogDetect-MS Study

Optimizing Detection and Prediction of Cognitive Function in Multiple Sclerosis With Ambulatory Cognitive Tests: Protocol for the Longitudinal Observational CogDetect-MS Study

Optimizing Detection and Prediction of Cognitive Function in Multiple Sclerosis With Ambulatory Cognitive Tests: Protocol for the Longitudinal Observational CogDetect-MS Study

Authors of this article:

Anna Louise Kratz1 Author Orcid Image ;   Dawn M Ehde2 Author Orcid Image ;   Kevin N Alschuler2, 3 Author Orcid Image ;   Kristen Pickup1 Author Orcid Image ;   Keara Ginell1 Author Orcid Image ;   Nora E Fritz4, 5 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics

Anna Louise Kratz   1 , PhD ;   Dawn M Ehde   2 , PhD ;   Kevin N Alschuler   2, 3 , PhD ;   Kristen Pickup   1 , MSW ;   Keara Ginell   1 , BA ;   Nora E Fritz   4, 5 , PhD

1 Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, United States

2 Department of Rehabilitation Medicine, University of Washington, Seattle, WA, United States

3 Department of Neurology, University of Washington, Seattle, WA, United States

4 Department of Health Care Sciences, Wayne State University, Detroit, MI, United States

5 Department of Neurology, Wayne State University, Detroit, MI, United States

Corresponding Author:

  • Anna Louise Kratz, PhD
  • Department of Physical Medicine and Rehabilitation
  • University of Michigan
  • 2800 Plymouth Road, North Campus Research Complex
  • Building 16, Room G17-W
  • Ann Arbor, MI, 48109
  • United States
  • Phone: 1 734 647 5982
  • Email: alkratz@med.umich.edu