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

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 View
  6. Podda J, Tacchino A, Ponzio M, Di Antonio F, Susini A, Pedullà L, Battaglia M, Brichetto G. A Mobile Health App (DIGICOG-MS®) for Self-Assessment of Cognitive Impairment in People with Multiple Sclerosis: Instrument Validation and Usability Study (Preprint). JMIR Formative Research 2024 View
  7. Jellinger K. Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms. Journal of Neural Transmission 2024 View