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Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56074, first published .
Smartphone displaying a grid game with 10 tokens on a chessboard and "AVANTI" button

Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study

Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study

Journals

  1. 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
  2. Wu W, Zuo E, Zhang W, Meng X. Multi-physiological signal fusion for objective emotion recognition in educational human–computer interaction. Frontiers in Public Health 2024;12 View
  3. Denissen S, Van Laethem D, Baijot J, Costers L, Descamps A, Van Remoortel A, Van Merhaegen-Wieleman A, D’hooghe M, D'Haeseleer M, Smeets D, Sima D, Van Schependom J, Nagels G. A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study. Journal of Medical Internet Research 2025;27:e53503 View
  4. Goga J, Ginell K, Ng Y, Ehde D, Alschuler K, Sliwinski M, Fritz N, Kratz A. Feasibility, reliability, and validity of ambulatory smartphone-administered cognitive tests in multiple sclerosis. Multiple Sclerosis Journal 2025;31(3):363 View
  5. Balz L, Uttner I, Taranu D, Erhart D, Fangerau T, Jung S, Schreiber H, Senel M, Vardakas I, Lulé D, Tumani H. Sensitivity and Specificity of a Revised Version of the TRACK-MS Screening Battery for Early Detection of Cognitive Impairment in Patients with Multiple Sclerosis. Biomedicines 2025;13(8):1902 View
  6. Hämäläinen P, Lämsä E, Viitala M, Kuusisto H, Niiranen M, Avikainen S, Puustinen J, Ryytty M, Ruutiainen J, Soilu-Hänninen M. Finnish Registry-Based Protocol for Screening and Management of Fatigue and Cognitive Problems in Multiple Sclerosis: Observational Study. JMIR Human Factors 2025;12:e67990 View
  7. Balconi J, Langdon D, Dhakal B, Benedict R. An Update on New Approaches to Cognitive Assessment in Multiple Sclerosis. NeuroSci 2025;6(3):87 View
  8. Ponzano M, Fedriga M, Signori A, Bergamaschi R, Schiavetti I, Landi D, Lavorgna L, Di Sapio A, Fantozzi R, Marinelli F, Sormani M. Social determinants of health in multiple sclerosis in Italy: A scoping review. Multiple Sclerosis Journal 2026;32(1):3 View
  9. Voigt I, Masanneck L, Pawlitzki M, Inojosa H, Meuth S, Ziemssen T. MS360°: a conceptual digital-first, data-driven hybrid care framework for personalised multiple sclerosis management. npj Digital Medicine 2026;9(1) View
  10. Khan M, Mehan S, Choudhary D, Rana R, Das Gupta G, Narula A. Enhanced therapeutic potential of paeoniflorin and vitamin B12 in intracerebropeduncle ethidium bromide-induced multiple sclerosis-like pathology. Frontiers in Pharmacology 2026;17 View
  11. Azzellino G, Vagnarelli P, Mengoli L, Aitella E, Passamonti M, Ginaldi L, De Martinis M. Nurse-Led Digital Interventions for Patients with Multiple Sclerosis: A Scoping Review. Medical Sciences 2026;14(2):321 View
  12. Lima B, Guimaraes J, Fernandes C, Ferreira M. Technological solutions for multiple sclerosis: a scoping review. International Journal of Medical Informatics 2026;219:106537 View