Computerized cognitive rehabilitation for treatment of cognitive impairment in multiple sclerosis: an explorative study

Vilou, Irini; Bakirtzis, Christos; Artemiadis, Artemios; Ioannidis, Panagiotis; Papadimitriou, Malamati; Konstantinopoulou, Eleni; Aretouli, Eleni; Messinis, Lambros; Nasios, Grigorios; Dardiotis, Efthimios; Kosmidis, Mary H.; Grigoriadis, Nikolaos

doi:10.31083/j.jin.2020.02.35

Cited by 13 publications

(16 citation statements)

References 46 publications

(59 reference statements)

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“…Significant improvements were observed after training [41]. Villou et al 2020 is an explorative study reported statistical improvement of various cognitive functions such as visuospatial memory, visual attention, task-switching, reading speed and response inhibition, and verbal learning [42].…”

Section: Rehabilitationmentioning

confidence: 99%

“…BrainHQ [27,32,39,41,42] Lumosity [26] RehaCom [24,30,33] BrainStim [28] COGNI-TRAcK [31] MAPPS-MS* [35] APT [25] MS-HAT [43] Walk-With-Me [50] AKL-T03 [51] MSdialog [55] Floodlight [57] Fatigue RehaCom [24,33] ELEVEDIA [37] MAPPS-MS [35] SitLess & MoveMore [46] Walk-With-Me [50] AKL-T03 [51] MSdialog [55] MS TeleCoach [56] FatigueApp.com [58] Quality of Life ELEVEDIA [37] MBSR [38] MS-HAT [43] webbasedphysio.com [47] RehaCom [48] RELAXaHEAD [49] Walk-With-Me [50] MCCO-enhanced [54] ElevateMS [59] Activity Level MS-HAT system [34] SitLess & MoveMore [46] Walk-With-Me [50] Floodlight [57] ElevateMS [59] Motor Function MS-HAT system [34,43] webbasedphysio.com [47] / * The cognitive training module of MAPPS-MS is done with Luminosity.…”

Section: Cognitionmentioning

confidence: 99%

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Are mHealth a Useful Tool for Self-Assessment and Rehabilitation of People With Multiple Sclerosis? A Review

Bonnechère¹,

Rintala²,

Spooren³

et al. 2021

Preprint

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The development of mobile technology and internet mobile offers new possibilities in both rehabilitation and for patients’ assessment in a longitudinal and MS management perspective. However, because the mobile health applications (mHealth) have only been developed recently, the level of evidence supporting the use of mHealth in patients with multiple sclerosis (pwMS) is currently unclear. Therefore, this study aims to list and describe the different mHealth available for rehabilitation and self-assessment of pwMS and to define the level of evidence supporting these interventions for functioning problems categorized within the International Classification of Functioning, Disability and Health (ICF). 36 studies, performed with 22 different mHealth, were included in this review, 30 about rehabilitation and 6 for self-assessment, representing 3,091 patients. For rehabilitation, most of the studies were focusing on cognitive function and fatigue. Concerning the efficacy we found a small but significant effect of the use of mHealth for cognitive training (SMD = 0.28 [0.12 ; 0.45]) and moderate effect for fatigue (SMD = 0.61 [0.47 ; 0.76]). mHealth is a promising tool in pwMS but more studies are needed to validate these solutions in the others ICF categories. More replications studies are also needed as most of the mHealth have only been assessed in one single study.

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Section: Rehabilitationmentioning

confidence: 99%

Section: Cognitionmentioning

confidence: 99%

Are mHealth a Useful Tool for Self-Assessment and Rehabilitation of People With Multiple Sclerosis? A Review

Bonnechère¹,

Rintala²,

Spooren³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…BrainHQ [32,41,42] is a platform providing a set of more than 30 mini brain training exercises designed to challenge different cognitive functions (processing speed, attention, working memory, and executive function through visual and auditory domains). The initial level of challenge is low and the difficulty is adapted on an individual basis as learning and abilities improve over time.…”

Section: Description Of the Available Mhealth Solutionsmentioning

confidence: 99%

“…Significant improvements were observed after training [41]. Villou et al, 2020 is an explorative study that reported statistical improvement of various cognitive functions after training such as visuospatial memory, visual attention, task-switching, reading speed and response inhibition, and verbal learning [42].…”

Section: Rehabilitationmentioning

confidence: 99%

“…Cognition BrainHQ [27,32,39,41,42] Lumosity [26] RehaCom [24,30,33] BrainStim [28] COGNI-TRAcK [31] MAPPS-MS * [35] APT [25] MS-HAT [43] Walk-With-Me [50] AKL-T03 [51] MSdialog [55] Floodlight [57] Fatigue RehaCom [24,33] ELEVEDIA [37] MAPPS-MS [35] SitLess and MoveMore [46] Walk-With-Me [50] AKL-T03 [51] MSdialog [55] MS TeleCoach [56] FatigueApp.com [58] Quality of Life ELEVEDIA [37] MBSR [38] MS-HAT [43] webbasedphysio.com [47] RehaCom [48] RELAXaHEAD [49] Walk-With-Me [50] MCCO-enhanced [54] ElevateMS [59] Activity Level MS-HAT system [34] SitLess and MoveMore [46] Walk-With-Me [50] Floodlight [57] ElevateMS [59] Motor Function MS-HAT system [34,43] webbasedphysio.com [47] / * The cognitive training module of MAPPS-MS is done with Luminosity.…”

Section: Rehabilitation Self-assessmentmentioning

confidence: 99%

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Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review

et al. 2021

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The development of mobile technology and mobile Internet offers new possibilities in rehabilitation and clinical assessment in a longitudinal perspective for multiple sclerosis management. However, because the mobile health applications (mHealth) have only been developed recently, the level of evidence supporting the use of mHealth in people with multiple sclerosis (pwMS) is currently unclear. Therefore, this review aims to list and describe the different mHealth available for rehabilitation and self-assessment of pwMS and to define the level of evidence supporting these interventions for functioning problems categorized within the International Classification of Functioning, Disability and Health (ICF). In total, 36 studies, performed with 22 different mHealth, were included in this review, 30 about rehabilitation and six for self-assessment, representing 3091 patients. For rehabilitation, most of the studies were focusing on cognitive function and fatigue. Concerning the efficacy, we found a small but significant effect of the use of mHealth for cognitive training (Standardized Mean Difference (SMD) = 0.28 [0.12; 0.45]) and moderate effect for fatigue (SMD = 0.61 [0.47; 0.76]). mHealth is a promising tool in pwMS but more studies are needed to validate these solutions in the other ICF categories. More replications studies are also needed as most of the mHealth have only been assessed in one single study.

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Memory rehabilitation for people with multiple sclerosis

Taylor

Mhizha-Murira

Smith

et al. 2021

Cochrane Database of Systematic Reviews

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Computerized cognitive rehabilitation for treatment of cognitive impairment in multiple sclerosis: an explorative study

Cited by 13 publications

References 46 publications

Are mHealth a Useful Tool for Self-Assessment and Rehabilitation of People With Multiple Sclerosis? A Review

Are mHealth a Useful Tool for Self-Assessment and Rehabilitation of People With Multiple Sclerosis? A Review

Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review

Memory rehabilitation for people with multiple sclerosis

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