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

Design and Formative Evaluation of Mobile Apps (706) Mobile Health (mhealth) (2982) Formative Studies and eHealth/mHealth Development (527) Usability of Apps and User Perceptions of mHealth (993) Portable and Mobile Technologies for Rehabilitation (156) Cognitive and Neurorehabilitation (267)

Published on in Vol 3, No 3 (2015): Jul-Sep

A New App for At-Home Cognitive Training: Description and Pilot Testing on Patients with Multiple Sclerosis

A New App for At-Home Cognitive Training: Description and Pilot Testing on Patients with Multiple Sclerosis

A New App for At-Home Cognitive Training: Description and Pilot Testing on Patients with Multiple Sclerosis

Authors of this article:

Andrea Tacchino1 Author Orcid Image ;   Ludovico Pedullà1, 2 Author Orcid Image ;   Laura Bonzano3, 4 Author Orcid Image ;   Claudio Vassallo1 Author Orcid Image ;   Mario Alberto Battaglia5 Author Orcid Image ;   Gianluigi Mancardi3, 4 Author Orcid Image ;   Marco Bove2 Author Orcid Image ;   Giampaolo Brichetto1 Author Orcid Image
Article Authors Cited by (46) Tweetations (10) Metrics

Journals

  1. Jiam N, Hoon A, Hostetter C, Khare M. IIAM (important information about me): a patient portability profile app for adults, children and families with neurodevelopmental disabilities. Disability and Rehabilitation: Assistive Technology 2017;12(6):599 View
  2. Guijarro-Castro C, Aladro-Benito Y, Sánchez-Musulim A, Belen-Caminero A, Pérez Molina I, Gómez-Moreno I, Gómez-Romero L, Millán-Pascual J, Laredo M, Cerezo-García M. Face-to-Face or Telematic Cognitive Stimulation in Patients with Multiple Sclerosis and Cognitive Impairment: Why Not Both?. Behavioural Neurology 2017;2017:1 View
  3. Pedullà L, Brichetto G, Tacchino A, Vassallo C, Zaratin P, Battaglia M, Bonzano L, Bove M. Adaptive vs. non-adaptive cognitive training by means of a personalized App: a randomized trial in people with multiple sclerosis. Journal of NeuroEngineering and Rehabilitation 2016;13(1) View
  4. Tacchino A, Veldkamp R, Coninx K, Brulmans J, Palmaers S, Hämäläinen P, D'hooge M, Vanzeir E, Kalron A, Brichetto G, Feys P, Baert I. Design, Development, and Testing of an App for Dual-Task Assessment and Training Regarding Cognitive-Motor Interference (CMI-APP) in People With Multiple Sclerosis: Multicenter Pilot Study. JMIR mHealth and uHealth 2020;8(4):e15344 View
  5. Serruya M. Connecting the Brain to Itself through an Emulation. Frontiers in Neuroscience 2017;11 View
  6. Hansen M, Okuda D. Precision medicine for multiple sclerosis promotes preventative medicine. Annals of the New York Academy of Sciences 2018;1420(1):62 View
  7. Dorstyn D, Roberts R, Murphy G, Kneebone I, Migliorini C, Craig A, Hutchinson C, Field D. Piloting an email-based resource package for job seekers with multiple sclerosis. Disability and Rehabilitation 2017;39(9):867 View
  8. Bonzano L, Pedullà L, Pardini M, Tacchino A, Zaratin P, Battaglia M, Brichetto G, Bove M. Brain activity pattern changes after adaptive working memory training in multiple sclerosis. Brain Imaging and Behavior 2020;14(1):142 View
  9. Voigt I, Benedict M, Susky M, Scheplitz T, Frankowitz S, Kern R, Müller O, Schlieter H, Ziemssen T. A Digital Patient Portal for Patients With Multiple Sclerosis. Frontiers in Neurology 2020;11 View
  10. Marziniak M, Brichetto G, Feys P, Meyding-Lamadé U, Vernon K, Meuth S. The Use of Digital and Remote Communication Technologies as a Tool for Multiple Sclerosis Management: Narrative Review. JMIR Rehabilitation and Assistive Technologies 2018;5(1):e5 View
  11. van Beek J, van Wegen E, Rietberg M, Nyffeler T, Bohlhalter S, Kamm C, Nef T, Vanbellingen T. Feasibility of a Home-Based Tablet App for Dexterity Training in Multiple Sclerosis: Usability Study. JMIR mHealth and uHealth 2020;8(6):e18204 View
  12. Chitnis T, Prat A. A roadmap to precision medicine for multiple sclerosis. Multiple Sclerosis Journal 2020;26(5):522 View
  13. Hansen M, Okuda D. Multiple Sclerosis in the Contemporary Age. Neurologic Clinics 2018;36(1):219 View
  14. Nussbaum R, Kelly C, Quinby E, Mac A, Parmanto B, Dicianno B. Systematic Review of Mobile Health Applications in Rehabilitation. Archives of Physical Medicine and Rehabilitation 2019;100(1):115 View
  15. Chib A, Lin S. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909 View
  16. Vergani L, Marton G, Pizzoli S, Monzani D, Mazzocco K, Pravettoni G. Training Cognitive Functions Using Mobile Apps in Breast Cancer Patients: Systematic Review. JMIR mHealth and uHealth 2019;7(3):e10855 View
  17. Brichetto G, Pedullà L, Podda J, Tacchino A. Beyond center-based testing: Understanding and improving functioning with wearable technology in MS. Multiple Sclerosis Journal 2019;25(10):1402 View
  18. Cohen M. Connected health and multiple sclerosis. Revue Neurologique 2018;174(6):480 View
  19. van Beek J, van Wegen E, Bol C, Rietberg M, Kamm C, Vanbellingen T. Tablet App Based Dexterity Training in Multiple Sclerosis (TAD-MS): Research Protocol of a Randomized Controlled Trial. Frontiers in Neurology 2019;10 View
  20. Podda J, Tacchino A, Pedullà L, Monti Bragadin M, Battaglia M, Brichetto G. Focus on neglected features of cognitive rehabilitation in MS: Setting and mode of the treatment. Multiple Sclerosis Journal 2022;28(7):1009 View
  21. Gromisch E, Turner A, Haselkorn J, Lo A, Agresta T. Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review. JAMIA Open 2021;4(3) View
  22. Scholz M, Haase R, Schriefer D, Voigt I, Ziemssen T. Electronic Health Interventions in the Case of Multiple Sclerosis: From Theory to Practice. Brain Sciences 2021;11(2):180 View
  23. Abbadessa G, Brigo F, Clerico M, De Mercanti S, Trojsi F, Tedeschi G, Bonavita S, Lavorgna L. Digital therapeutics in neurology. Journal of Neurology 2022;269(3):1209 View
  24. Mokhberdezfuli M, Ayatollahi H, Naser Moghadasi A, Taiar R. A Smartphone-based Application for Self-Management in Multiple Sclerosis. Journal of Healthcare Engineering 2021;2021:1 View
  25. Bevens W, Gray K, Neate S, Nag N, Weiland T, Jelinek G, Simpson-Yap S. Characteristics of mHealth app use in an international sample of people with multiple sclerosis. Multiple Sclerosis and Related Disorders 2021;54:103092 View
  26. Chaldogeridis A, Tsiatsos T. Gamification Techniques and Best Practices in Computerized Working Memory Training: A Systematic Literature Review. Applied Sciences 2022;12(19):9785 View
  27. Tacchino A, Podda J, Bergamaschi V, Pedullà L, Brichetto G. Cognitive rehabilitation in multiple sclerosis: Three digital ingredients to address current and future priorities. Frontiers in Human Neuroscience 2023;17 View
  28. van Beek J, Lehnick D, Pastore-Wapp M, Wapp S, Kamm C, Nef T, Vanbellingen T. Tablet app-based dexterity training in multiple sclerosis (TAD-MS): a randomized controlled trial. Disability and Rehabilitation: Assistive Technology 2024;19(3):889 View
  29. Zuber P, Gaetano L, Griffa A, Huerbin M, Pedullà L, Bonzano L, Altermatt A, Tsagkas C, Parmar K, Hagmann P, Wuerfel J, Kappos L, Sprenger T, Sporns O, Magon S. Additive and interaction effects of working memory and motor sequence training on brain functional connectivity. Scientific Reports 2021;11(1) View
  30. Bonnechère B, Rintala A, Spooren A, Lamers I, Feys P. Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review. Brain Sciences 2021;11(9):1187 View
  31. Coricelli C, Aiello M, Lunardelli A, Galli G, Rumiati R. sFEra APP: Description and Usability of a Novel Tablet Application for Executive Functions Training. Journal of Cognitive Enhancement 2022;6(3):389 View
  32. Lee J, Lim J. Factors Associated With the Experience of Cognitive Training Apps for the Prevention of Dementia: Cross-sectional Study Using an Extended Health Belief Model. Journal of Medical Internet Research 2022;24(1):e31664 View
  33. Han K, Park K, Choi K, Lee J. Mobile Augmented Reality Serious Game for Improving Old Adults’ Working Memory. Applied Sciences 2021;11(17):7843 View
  34. Goverover Y, Costa S, DeLuca J, Chiaravalloti N. The Efficacy of the Speed of Processing Training Program in Improving Functional Outcome: From Restoration to Generalization. Archives of Physical Medicine and Rehabilitation 2023;104(6):925 View
  35. Howard Z, Win K, Guan V. Mobile apps used for people living with multiple sclerosis: A scoping review. Multiple Sclerosis and Related Disorders 2023;73:104628 View
  36. Teleanu R, Niculescu A, Vladacenco O, Roza E, Perjoc R, Teleanu D. The State of the Art of Pediatric Multiple Sclerosis. International Journal of Molecular Sciences 2023;24(9):8251 View
  37. Piacentini C, Argento O, Nocentini U. Cognitive impairment in multiple sclerosis: “classic” knowledge and recent acquisitions. Arquivos de Neuro-Psiquiatria 2023;81(06):585 View
  38. Tacchino A, Ponzio M, Confalonieri P, Leocani L, Inglese M, Centonze D, Cocco E, Gallo P, Paolicelli D, Rovaris M, Sabattini L, Tedeschi G, Prosperini L, Patti F, Bramanti P, Pedrazzoli E, Battaglia M, Brichetto G. An Internet- and Kinect-Based Multiple Sclerosis Fitness Intervention Training With Pilates Exercises: Development and Usability Study. JMIR Serious Games 2023;11:e41371 View
  39. Manchanda N, Aggarwal A, Setya S, Talegaonkar S. Digital Intervention for the Management of Alzheimer’s Disease. Current Alzheimer Research 2022;19(14):909 View
  40. Mazo G, Pantaléo S, van der Oord A, Picq J, Hertz-Pannier L, Brunet E, Azouvi P, Vallat-Azouvi C. Rehabilitation of working memory after acquired brain injury and multiple sclerosis: A systematic review. Neuropsychological Rehabilitation 2024:1 View
  41. Solaiyan R, Dheeraj K, AGK S, Soundappan K, Ashok K, Rajni S. Development and Evaluation of a mHealth app - (ReMiT-MS app) for Rehabilitation of Individuals with Relapsing-remitting Multiple Sclerosis - A Mixed Methods, Pragmatic Randomized Controlled Trial - Study Protocol. Journal of Novel Physiotherapy and Rehabilitation 2024;8(2):022 View
  42. Masciulli C, Portaccio E, Goretti B, Niccolai C, Simone M, Viterbo R, Zaffaroni M, Pippolo L, Cocco E, Fenu G, Carta E, Falautano M, Celico C, Pardini M, Mancardi G, Guerrini R, Melani F, Giovannelli F, Rocca M, Iaffaldano P, Tacchino A, Zaratin P, Filippi M, Amato M. Home-based, computer-assisted cognitive rehabilitation for attention in pediatric onset multiple sclerosis: a randomized, multicenter pilot study. Neurological Sciences 2024 View

Books/Policy Documents

  1. Klimova B. Mobile Web and Intelligent Information Systems. View
  2. Tonheim A, Babic A. World Congress on Medical Physics and Biomedical Engineering 2018. View