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

Research Instruments, Questionnaires, and Tools (586) Neurology and Neurosciences (189) Dementia and Cognitive Decline (497) Development and Evaluation of Research Methods, Instruments and Tools (502) Formative Evaluation of Digital Health Interventions (2468) Cognitive and Neurorehabilitation (266) mHealth for Data Collection and Research (974)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25748, first published .
Assessing Cognitive Function in Multiple Sclerosis With Digital Tools: Observational Study

Assessing Cognitive Function in Multiple Sclerosis With Digital Tools: Observational Study

Assessing Cognitive Function in Multiple Sclerosis With Digital Tools: Observational Study

Authors of this article:

Wan-Yu Hsu1 Author Orcid Image ;   William Rowles1 Author Orcid Image ;   Joaquin A Anguera1, 2, 3 Author Orcid Image ;   Annika Anderson1 Author Orcid Image ;   Jessica W Younger1, 2 Author Orcid Image ;   Samuel Friedman1 Author Orcid Image ;   Adam Gazzaley1, 2, 3, 4 Author Orcid Image ;   Riley Bove1 Author Orcid Image
Article Authors Cited by (12) Tweetations (9) Metrics

Journals

  1. Michaud J, Penny C, Cull O, Hervet E, Chamard-Witkowski L. Remote Testing Apps for Multiple Sclerosis Patients: Scoping Review of Published Articles and Systematic Search and Review of Public Smartphone Apps. JMIR Neurotechnology 2023;2:e37944 View
  2. Jones K, Ostrand A, Gazzaley A, Zanto T. Enhancing cognitive control in amnestic mild cognitive impairment via at-home non-invasive neuromodulation in a randomized trial. Scientific Reports 2023;13(1) View
  3. Ferreira V, Metting E, Schauble J, Seddighi H, Beumeler L, Gallo V. eHealth tools to assess the neurological function for research, in absence of the neurologist – a systematic review, part I (software). Journal of Neurology 2023 View
  4. Zanto T, Giannakopoulou A, Gallen C, Ostrand A, Younger J, Anguera‐Singla R, Anguera J, Gazzaley A. Digital rhythm training improves reading fluency in children. Developmental Science 2024;27(3) View
  5. Liu T. Relationships Between Executive Functions and Computational Thinking. Journal of Educational Computing Research 2024;62(5):1267 View
  6. Podda J, Tacchino A, Ponzio M, Di Antonio F, Susini A, Pedullà L, Battaglia M, Brichetto G. Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study. JMIR Formative Research 2024;8:e56074 View
  7. Jellinger K. Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms. Journal of Neural Transmission 2024;131(8):871 View
  8. Seo D, So J, Kim J, Jung H, Jang I, Kim H, Kang D, Lim Y, Choi J, Lee E. Digital symbol-digit modalities test with modified flexible protocols in patients with CNS demyelinating diseases. Scientific Reports 2024;14(1) View
  9. Podda J, Di Antonio F, Tacchino A, Pedullà L, Grange E, Battaglia M, Brichetto G, Ponzio M. A taxonomy of cognitive phenotypes in Multiple Sclerosis: a 1-year longitudinal study. Scientific Reports 2024;14(1) View
  10. Podda J, Grange E, Susini A, Tacchino A, Di Antonio F, Pedullà L, Brichetto G, Ponzio M. Italian Version of the mHealth App Usability Questionnaire (Ita-MAUQ): Translation and Validation Study in People With Multiple Sclerosis. JMIR Human Factors 2024;11:e58079 View
  11. De Angelis F, Nistri R, Wright S. Measuring Disease Progression in Multiple Sclerosis Clinical Drug Trials and Impact on Future Patient Care. CNS Drugs 2024 View
  12. Jiang X, McGinley M, Johnston J, Alberts J, Bermel R, Ontaneda D, Naismith R, Hyde R, Levitt N, van Beek J, Sun Z, Campbell N, Barro C. A digital version of the nine-hole peg test: Speed may be a more reliable measure of upper-limb disability than completion time in patients with multiple sclerosis. Multiple Sclerosis Journal 2024 View