Digital therapeutics in neurology.
Digital therapeutics
Exergames
Neurological disorders
Rehabilitation
Validation studies
Journal
Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
received:
13
02
2021
accepted:
08
05
2021
revised:
05
05
2021
pubmed:
22
5
2021
medline:
23
2
2022
entrez:
21
5
2021
Statut:
ppublish
Résumé
Digital therapeutics (DTx) is a section of digital health defined by the DTx Alliance as "delivering evidence-based therapeutic interventions to patients that are driven by software to prevent, manage, or treat a medical disorder or disease. They are used independently or in concert with medications, devices, or other therapies to optimize patient care and health outcomes". Chronic disabling diseases could greatly benefit from DTx. In this narrative review, we provide an overview of DTx in the care of patients with neurological dysfunctions.
Identifiants
pubmed: 34018047
doi: 10.1007/s00415-021-10608-4
pii: 10.1007/s00415-021-10608-4
pmc: PMC8136262
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1209-1224Informations de copyright
© 2021. The Author(s).
Références
WHO guideline Recommendations on Digital Interventions for Health System Strengthening. Geneva: World Health Organization; 2019. Available from: https://www.ncbi.nlm.nih.gov/books/NBK541905/
Lavorgna L, Brigo F, Moccia M et al (2018) e-Health and multiple sclerosis: An update. Mult Scler 24(13):1657–1664
pubmed: 30231004
https://wwwdtxalliance.org/
Khirasaria R, Singh V, Batta A (2020) Exploring digital therapeutics: The next paradigm of modern health-care industry. Perspect Clin Res 11(2):54–58
pubmed: 32670828
pmcid: 7342342
Yekutiel M, Guttman E (1993) A controlled trial of the retraining of the sensory function of the hand in stroke patients. J Neurol Neurosurg Psychiatry 56(3):241–244
pubmed: 8459238
pmcid: 1014854
Wu CW, Seo HJ, Cohen LG (2006) Influence of electric somatosensory stimulation on paretic-hand function in chronic stroke. Arch Phys Med Rehabil 87(3):351–357
pubmed: 16500168
Celnik P, Hummel F, Harris-Love M, Wolk R, Cohen LG (2007) Somatosensory stimulation enhances the effects of training functional hand tasks in patients with chronic stroke. Arch Phys Med Rehabil 88(11):1369–1376
pubmed: 17964875
Choi MJ, Kim H, Nah HW et al (2019) Digital therapeutics: emerging new therapy for neurologic deficits after stroke. J Stroke 21(3):242–258
pubmed: 31587534
pmcid: 6780014
Subramanian SK, Lourenço CB, Chilingaryan G et al (2013) Arm motor recovery using a virtual reality intervention in chronic stroke: randomized control trial. Neurorehabil Neural Repair 27:13–23
pubmed: 22785001
Fernández-González P, Carratalá-Tejada M, Monge-Pereira E et al (2019) Leap motion controlled video game-based therapy for upper limb rehabilitation in patients with Parkinson’s disease: a feasibility study. J NeuroEngineering Rehabil 16:133
Adamovich SV, Fluet GG, Tunik E, Merians AS (2009) Sensorimotor training in virtual reality: a review. NeuroRehabilitation 25(1):29–44
pubmed: 19713617
pmcid: 2819065
Kim SI, Song IH, Cho S et al (2013) Proprioception rehabilitation training system for stroke patients using virtual reality technology. Annu Int Conf IEEE Eng Med Biol Soc 2013:4621–4624
pubmed: 24110764
Kalron A, Fonkatz I, Frid L et al (2016) The effect of balance training on postural control in people with multiple sclerosis using the CAREN virtual reality system: a pilot randomized controlled trial. J Neuroeng Rehabil 1(13):13
Garcia-Agundez A, Folkerts AK, Konrad R et al (2019) Recent advances in rehabilitation for Parkinson’s Disease with Exergames: a systematic review. J Neuroeng Rehabil 16(1):17
pubmed: 30696453
pmcid: 6352377
Ben-Sadoun G, Sacco G, Manera V et al (2016) Physical and cognitive stimulation using an exergame in subjects with normal aging, mild and moderate cognitive impairment. J Alzheimers Dis 53(4):1299–1314
pubmed: 27372645
Cannell J, Jovic E, Rathjen A et al (2018) The efficacy of interactive, motion capture-based rehabilitation on functional outcomes in an inpatient stroke population: a randomized controlled trial. Clin Rehabil 32:191–200
pubmed: 28719977
Yazgan YZ, Tarakci E, Tarakci D et al (2019) Comparison of the effects of two different exergaming systems on balance, functionality, fatigue, and quality of life in people with multiple sclerosis: a randomized controlled trial. Mult Scler Relat Disord 39:101902
pubmed: 31924591
Liao YY, Yang YR, Cheng SJ, Wu YR, Fuh JL, Wang RY (2015) Virtual reality–based training to improve obstacle-crossing performance and dynamic balance in patients with Parkinson’s disease. Neurorehabil Neural Repair 29:658–667
pubmed: 25539782
Ribas CG, da Silva LA, Corrêa MR, Teive HG, Valderramas S (2017) Effectiveness of exergaming in improving functional balance, fatigue and quality of life in Parkinson’s disease: a pilot randomized controlled trial. Parkinsonism Relat Disord 38:13–18
pubmed: 28190675
Rahe J, Petrelli A, Kaesberg S et al (2015) Effects of cognitive training with additional physical activity compared to pure cognitive training in healthy older adults. Clin Interv Aging 10:297
pubmed: 25632227
pmcid: 4304534
Ozdogar AT, Ertekin O, Kahraman T et al (2020) Effect of video-based exergaming on arm and cognitive function in persons with multiple sclerosis: a randomized controlled trial. Mult Scler Relat Disord. 40:101966
pubmed: 32045868
McEwen D, Taillon-Hobson A, Bilodeau M et al (2014) Virtual reality exercise improves mobility after stroke: an inpatient randomized controlled trial. Stroke 45:1853–1855
pubmed: 24763929
Carabeo CGG, Dalida CMM, Padilla EMZ, Rodrigo MMT (2014) Stroke patient rehabilitation: a pilot study of an android-based game. Simul Gaming 45(2):151–166
Schneider S, Schönle PW, Altenmüller E et al (2007) Using musical instruments to improve motor skill recovery following a stroke. J Neurol 254:1339–1346
pubmed: 17260171
Frevel D, Mäurer M (2015) Internet-based home training is capable to improve balance in multiple sclerosis: a randomized controlled trial. Eur J Phys Rehabil Med 51(1):23–30
pubmed: 24755773
Marziniak M, Brichetto G, Feys P et al. The Use of Digital and Remote Communication Technologies as a Tool for Multiple Sclerosis Management: Narrative Review. JMIR Rehabil Assist Technol 2018;24;5(1):e5.
Bonavita S, Sacco R, Della Corte M et al (2015) Computer-aided cognitive rehabilitation improves cognitive performances and induces brain functional connectivity changes in relapsing remitting multiple sclerosis patients: an exploratory study. J Neurol 262(1):91–100
pubmed: 25308631
Westerberg H, Jacobaeus H, Hirvikoski T et al (2007) Computerized working memory training after stroke: a pilot study. Brain Inj 21:21–29
pubmed: 17364516
Lundqvist A, Grundström K, Samuelsson K et al (2010) Computerized training of working memory in a group of patients suffering from acquired brain injury. Brain Inj 24:1173–1183
pubmed: 20715888
Des Roches CA, Balachandran I, Ascenso EM et al (2015) Effectiveness of an impairment-based individualized rehabilitation program using an iPad-based software platform. Front Hum Neurosci 8:1015
pubmed: 25601831
pmcid: 4283612
De Luca R, Russo M, Naro A et al (2018) Effects of virtual reality-based training with BTs-Nirvana on functional recovery in stroke patients: preliminary considerations. Int J Neurosci 128:791–796
pubmed: 29148855
Palmer R, Enderby P, Cooper C et al (2012) Computer therapy compared with usual care for people with long-standing aphasia poststroke: a pilot randomized controlled trial. Stroke 43:1904–1911
pubmed: 22733794
Doesborgh S, Van De Sandt-Koenderman M, Dippel D et al (2004) Cues on request: the efficacy of multicue, a computer program for wordfinding therapy. Aphasiology 18:231–222
Steele RD, Baird A, McCall D, Haynes L (2015) Combining teletherapy and on-line language exercises in the treatment of chronic aphasia: an outcome study. Int J Telerehabil 6(2):3–20
pubmed: 25945225
pmcid: 4353001
Stark BC, Warburton EA (2018) Improved language in chronic aphasia after self-delivered iPad speech therapy. Neuropsychol Rehabil 28:818–831
pubmed: 26926872
Kurland J, Wilkins AR, Stokes P (2014) iPractice: piloting the effectiveness of a tablet-based home practice program in aphasia treatment. Semin Speech Lang 35(1):51–63
pubmed: 24449465
pmcid: 3931518
Thompson CK, Choy JJ, Holland A, Cole R (2010) Sentactics®: computer-automated treatment of underlying forms. Aphasiology 24(10):1242–1266
pubmed: 21170283
pmcid: 3002176
Marshall J, Caute A, Chadd K, Cruice M, Monnelly K, Wilson S, Woolf C (2019) Technology-enhanced writing therapy for people with aphasia: results of a quasi-randomized waitlist controlled study. Int J Lang Commun Disord 54(2):203–220
pubmed: 29749112
Tacchino A, Pedullà L, Bonzano L et al (2015) A new app for at-home cognitive training: description and pilot testing on patients with multiple sclerosis. JMIR Mhealth Uhealth. 3(3):e85
pubmed: 26323749
pmcid: 4704979
Pedullà L, Brichetto G, Tacchino A et al (2016) Adaptive vs non-adaptive cognitive training by means of a personalized app: a randomized trial in people with multiple sclerosis. J Neuroeng Rehabil. 13(1):88
pubmed: 27716336
pmcid: 5050994
Bove R, Rowles W, Zhao C et al (2020) A novel in-home digital treatment to improve processing speed in people with multiple sclerosis: a pilot study. Mult Scler 25:778
Taylor MJ, Griffin M (2015) The use of gaming technology for rehabilitation in people with multiple sclerosis. Mult Scler 21(4):355–371
pubmed: 25533296
Maillot P, Perrot A, Hartley A (2012) Effects of interactive physical activity video-game training on physical and cognitive function in older adults. Psychol Aging 27:589–600
pubmed: 22122605
Robert PH, König A, Amieva H et al (2014) Recommendations for the use of Serious Games in people with Alzheimer’s disease, related disorders and frailty. Front Aging Neurosci 6:54
pubmed: 24715864
pmcid: 3970032
Boulay M, Benveniste S, Boespflug S, Jouvelot P, Rigaud AS (2011) A pilot usability study of MINWii, a music therapy game for demented patients. Technol Health Care 19(4):233–246
pubmed: 21849735
Manera V, Petit PD, Derreumaux A et al (2015) “Kitchen and cooking”, a serious game for mild cognitive impairment and Alzheimer’s disease: a pilot study. Front Aging Neurosci 7:24
pubmed: 25852542
pmcid: 4362400
Robert P, Manera V, Derreumaux A et al (2020) Efficacy of a web app for cognitive training (MeMo) regarding cognitive and behavioral performance in people with neurocognitive disorders: randomized controlled trial. J Med Internet Res. 22(3):e17167
pubmed: 32159519
pmcid: 7097721
Leuner B, Gould E (2010) Structural plasticity and hippocampal function. Annu Rev Psychol 61(111–40):C1-3
Knaepen K, Goekint M, Heyman EM, Meeusen R (2010) Neuroplasticity - exercise-induced response of peripheral brain-derived neurotrophic factor: a systematic review of experimental studies in human subjects. Sports Med 40(9):765–781
pubmed: 20726622
Voss MW, Prakash RS, Erickson KI et al (2010) Plasticity of brain networks in a randomized intervention trial of exercise training in older adults. Frontiers in Aging Neuroscience 2:32
pubmed: 20890449
pmcid: 2947936
Voss MW, Chaddock L, Kim JS et al (2011) Aerobic fitness is associated with greater efficiency of the network underlying cognitive control in preadolescent children. Neuroscience 199:166–176
pubmed: 22027235
Ruiz-Fernández A, Junco-Guerrero M, Cantón-Cortés D (2021) Exploring the mediating effect of psychological engagement on the relationship between child-to-parent violence and violent video games. Int J Environ Res Public Health 18(6):2845. https://doi.org/10.3390/ijerph18062845.PMID:33799538;PMCID:PMC8001326
doi: 10.3390/ijerph18062845.PMID:33799538;PMCID:PMC8001326
pubmed: 33799538
pmcid: 8001326
Drummond A, Sauer JD, Ferguson CJ (2020) Do longitudinal studies support long-term relationships between aggressive gameplay and youth aggressive behaviour? A meta-analytic examination. R Soc Open Sci. 7(7):200373
pubmed: 32874632
pmcid: 7428266
Sahraie A, Smania N, Zihl J (2016) Use of NeuroEyeCoach to improve eye movement efficacy in patients with homonymous visual field loss. Biomed Res Int 2016:5186461
pubmed: 27703974
pmcid: 5040783
Sato G, Villani G, Piccolo E et al (2014) Modified visiocoach training in hemianopia. Invest Ophthalmol Vis Sci 55:4132
Cavanaugh MR, Huxlin KR (2017) Visual discrimination training improves Humphrey perimetry in chronic cortically induced blindness. Neurology 88(19):1856–1864
pubmed: 28404802
pmcid: 5419988
Kim H, Cho NB, Kim J et al (2020) Implementation of a home-based mHealth App Intervention Program with human mediation for swallowing tongue pressure strengthening exercises in older adults: Longitudinal Observational Study. JMIR Mhealth Uhealth. 8(10):e22080
pubmed: 33012704
pmcid: 7600016
Miles A, Jardine M, Johnston F et al (2017) Effect of Lee Silverman voice treatment (LSVT LOUD
pubmed: 29246611
Giunti G, Rivera-Romero O, Kool J et al (2020) Evaluation of more stamina, a mobile app for fatigue management in persons with multiple sclerosis: protocol for a feasibility, acceptability, and usability study. JMIR Res Protoc. 9(8):e18196
pubmed: 32749995
pmcid: 7435635
Meyer B, Berger T, Caspar F, Beevers CG, Andersson G, Weiss M (2009) Effectiveness of a novel integrative online treatment for depression (Deprexis): randomized controlled trial. J Med Internet Res. 11(2):e15
pubmed: 19632969
pmcid: 2762808
Cuevas PEG, Davidson PM, Mejilla JL, Rodney TW (2020) Reminiscence therapy for older adults with Alzheimer’s disease: a literature review. Int J Ment Health Nurs 29(3):364–371
pubmed: 31984570
Filoteo JV, Cox EM, Split M et al (2018) Evaluation of ReminX as a behavioral intervention for mild to moderate dementia. Annu Int Conf IEEE Eng Med Biol Soc 2018:3314–3317
pubmed: 30441098
Austin PD, Craig A, Middleton JW et al (2020) The short-term effects of head-mounted virtual-reality on neuropathic pain intensity in people with spinal cord injury pain: a randomised cross-over pilot study. Spinal Cord. https://doi.org/10.1038/s41393-020-00569-2
doi: 10.1038/s41393-020-00569-2
pubmed: 33077900
Ichinose A, Sano Y, Osumi M, Sumitani M, Kumagaya S, Kuniyoshi Y (2017) Somatosensory feedback to the cheek during virtual visual feedback therapy enhances pain alleviation for phantom Arms. Neurorehabil Neural Repair 31(8):717–725
pubmed: 28691602
Rezaei I, Razeghi M, Ebrahimi S, Kayedi S, Rezaeian ZA (2019) A novel virtual reality technique (Cervigame®) compared to conventional proprioceptive training to treat neck pain: a randomized controlled trial. J Biomed Phys Eng 9(3):355–366
Palmer MJ, Barnard S, Perel P et al. Mobile phone-based interventions for improving adherence to medication prescribed for the primary prevention of cardiovascular disease in adults. Cochrane Database Syst Rev 2018;6:CD012675.
Kamoen O, Maqueda V, Yperzeele L et al (2020) Stroke coach: a pilot study of a personal digital coaching program for patients after ischemic stroke. Acta Neurol Belg 120(1):91–97
pubmed: 31701472
Requena M, Montiel E, Baladas M et al (2019) Farmalarm. Stroke 50(7):1819–1824
pubmed: 31167621
Salimzadeh Z, Damanabi S, Kalankesh LR et al (2019) Mobile applications for multiple sclerosis: a focus on self-management. Acta Inform Med 27(1):12–18
pubmed: 31213737
pmcid: 6511265
Greiner P, Sawka A, Imison E (2015) Patient and physician perspectives on MSdialog, an electronic PRO diary in multiple sclerosis. Patient 8(6):541–550
pubmed: 26350792
pmcid: 4662959
Limmroth V, Bartzokis I, Bonmann E et al (2018) The BETACONNECT system: MS therapy goes digital. Neurodegener Dis Manag 8(6):399–410
pubmed: 30278827
Golan D, Sagiv S, Glass-Marmor L et al (2020) Mobile phone-based e-diary for assessment and enhancement of medications adherence among patients with multiple sclerosis. Mult Scler J Exp Transl Clin. https://doi.org/10.1177/2055217320939309
doi: 10.1177/2055217320939309
pubmed: 32864155
pmcid: 7430083
DiIorio C, Bamps Y, Walker ER et al (2011) Results of a research study evaluating WebEase, an online epilepsy self-management program. Epilepsy Behav 22(3):469–474
pubmed: 21889413
Si Y, Xiao X, Xia C et al (2020) Optimising epilepsy management with a smartphone application: a randomised controlled trial. Med J Aust 212(6):258–262
pubmed: 32092160
Afra P, Bruggers CS, Sweney M et al (2018) Mobile software as a medical device (SaMD) for the treatment of epilepsy: development of digital therapeutics comprising behavioral and music-based interventions for neurological disorders. Front Hum Neurosci 1(12):171
Lakshminarayana R, Wang D, Burn D et al (2017) Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson’s disease. NPJ Parkinsons Dis. 3:2
pubmed: 28649602
pmcid: 5460235
Leijten FSS (2018) Dutch teleEpilepsy consortium multimodal seizure detection: a review. Epilepsia 59(Suppl 1):42–47
pubmed: 29873832
Bans C (2018) Wearable tech meets tattoo art in a bid to revolutionize both. PNAS 115(14):3504–3506
Casson AJ (2019) Wearable EEG and beyond. Biomed Eng Lett 9:53–71
pubmed: 30956880
pmcid: 6431319
Taccola S, Poliziani A, Santonocito D, Mondini A, Denk C, Ide AN, Oberparleiter M, Greco F, Mattoli V (2021) Toward the use of temporary tattoo electrodes for impedancemetric respiration monitoring and other electrophysiological recordings on skin. Sensors 21(4):1197
pubmed: 33567724
pmcid: 7915056
Hommel KA, Carmody J, Hershey AD, Holbein C, Kabbouche-Samaha M, Peugh J, Powers S (2020) Digital therapeutic self-management intervention in adolescents with migraine: feasibility and preliminary efficacy of “Migraine Manager.” Headache 60(6):1103–1110
pubmed: 32320052
pmcid: 7263949
Wang Y, Li B, Liu L (2020) Telemedicine experience in China: our response to the pandemic and current challenges. Front Public Health. 8:549669
pubmed: 33425827
pmcid: 7793949