Literature DB >> 31328637

Computerized Cognitive Training in Multiple Sclerosis: A Systematic Review and Meta-analysis.

Amit Lampit1,2,3,4, Josephine Heine2, Carsten Finke2,3, Michael H Barnett4, Michael Valenzuela4, Anna Wolf1, Isabella H K Leung4, Nicole T M Hill1.   

Abstract

Background. Cognitive impairments are common in people with multiple sclerosis (MS). Systematic reviews reported promising evidence for various cognitive interventions in this population. Computerized cognitive training (CCT) has strong evidence for safety and efficacy in several populations, but its effects in MS have yet to be specified. Objective. We aimed to synthesize the evidence from randomized controlled trials (RCTs) investigating the effects of CCT on cognitive, psychosocial, and functional outcomes in adults with MS. Method. We searched MEDLINE, EMBASE, PsycINFO, CINAHL, and CENTRAL from inception to March 2019. We calculated standardized mean difference (Hedges' g) of change from baseline in untrained measures of cognition, individual domains, psychosocial functioning, and daily function between CCT and control groups using a random-effects model. Results. A total of 20 RCTs encompassing 982 participants (78% with relapsing-remitting MS) were included. The overall cognitive effect size was moderate (g = 0.30; 95% CI = 0.18-0.43), with no evidence of small-study effect or between-study heterogeneity (prediction interval = 0.17-0.44). Small to moderate effect sizes were found for attention/processing speed, executive functions, and verbal and visuospatial memory. Evidence for working memory, fatigue, and psychosocial and daily functioning were inconclusive. Cognitive effects waned without further training. Conclusions. CCT is efficacious for overall and key cognitive domains in adults with MS, but efficacy on other outcomes and in progressive subtypes remains unclear. Long-term and well-powered trials with diverse cohorts are needed to optimize and maintain the efficacy of CCT, investigate transfer to daily living, and determine who can benefit and whether CCT is a cost-effective strategy to attenuate cognitive decline in MS.

Entities:  

Keywords:  cognitive remediation; meta-analysis; multiple sclerosis; transfer of training

Mesh:

Year:  2019        PMID: 31328637     DOI: 10.1177/1545968319860490

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  13 in total

1.  Neurological update: cognitive rehabilitation in multiple sclerosis.

Authors:  Michelle H Chen; Nancy D Chiaravalloti; John DeLuca
Journal:  J Neurol       Date:  2021-05-24       Impact factor: 4.849

2.  The efficacy of speed of processing training for improving processing speed in individuals with multiple sclerosis: a randomized clinical trial.

Authors:  Nancy D Chiaravalloti; Silvana L Costa; Nancy B Moore; Kristen Costanza; John DeLuca
Journal:  J Neurol       Date:  2022-02-12       Impact factor: 4.849

Review 3.  The Impact of COVID-19 Infection on Cognitive Function and the Implication for Rehabilitation: A Systematic Review and Meta-Analysis.

Authors:  Sarah Houben; Bruno Bonnechère
Journal:  Int J Environ Res Public Health       Date:  2022-06-24       Impact factor: 4.614

Review 4.  Training Willpower: Reducing Costs and Valuing Effort.

Authors:  Michel Audiffren; Nathalie André; Roy F Baumeister
Journal:  Front Neurosci       Date:  2022-04-28       Impact factor: 5.152

5.  Computerised cognitive training in Parkinson's disease: a protocol for a systematic review and updated meta-analysis.

Authors:  Hanna Malmberg Gavelin; Magdalena Domellöf; Isabella Leung; Anna Stigsdotter Neely; Carsten Finke; Amit Lampit
Journal:  BMJ Open       Date:  2020-11-24       Impact factor: 2.692

6.  Feasibility of cognitive rehabilitation in patients with advanced multiple sclerosis: A pilot study.

Authors:  Stefanos E Prouskas; Nancy D Chiaravalloti; Neeltje Kant; Karlene K Ball; Vincent de Groot; Bernard Mj Uitdehaag; Jeroen Jg Geurts; Elizabeth A Kooij; Hanneke E Hulst
Journal:  Mult Scler J Exp Transl Clin       Date:  2021-12-10

7.  Dendrimer-2PMPA selectively blocks upregulated microglial GCPII activity and improves cognition in a mouse model of multiple sclerosis.

Authors:  Kristen R Hollinger; Anjali Sharma; Carolyn Tallon; Lyndah Lovell; Ajit G Thomas; Xiaolei Zhu; Robyn Wiseman; Ying Wu; Siva P Kambhampati; Kevin Liaw; Rishi Sharma; Camilo Rojas; Rana Rais; Sujatha Kannan; Rangaramanujam M Kannan; Barbara S Slusher
Journal:  Nanotheranostics       Date:  2022-01-01

8.  Computerized cognitive training in people with depression: a protocol for a systematic review and meta-analysis.

Authors:  Amit Lampit; Nathalie H Launder; Ruth Minkov; Alice Rollini; Christopher G Davey; Carsten Finke; Nicola T Lautenschlager; Hanna Malmberg Gavelin
Journal:  Syst Rev       Date:  2022-01-06

9.  Targeted cognitive game training enhances cognitive performance in multiple sclerosis patients treated with interferon beta 1-a.

Authors:  Shay Menascu; Roy Aloni; Mark Dolev; David Magalashvili; Keren Gutman; Sapir Dreyer-Alster; Franck Tarpin-Bernard; Ran Achiron; Gil Harari; Anat Achiron
Journal:  J Neuroeng Rehabil       Date:  2021-12-19       Impact factor: 4.262

Review 10.  Treatment and management of cognitive dysfunction in patients with multiple sclerosis.

Authors:  John DeLuca; Nancy D Chiaravalloti; Brian M Sandroff
Journal:  Nat Rev Neurol       Date:  2020-05-05       Impact factor: 42.937

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