Abstract

Emerging studies suggest the application of self-regulation learning (SRL) to improve generalization abilities in poststroke patients. SRL has been proposed to have an added effect on computer-aided cognitive training (CACT). This study aimed to examine the efficacy of an intervention combining computer-aided SRL (CA-SRL) training and CACT for generalization abilities and cognitive function in patients with poststroke cognitive impairment (PSCI). A total of 75 patients recruited from a rehabilitation centre were randomly assigned to a CA-SRL group, demonstration learning (DL) group and traditional learning (TL) group. Finally, 72 patients were included in the analysis. Over 3 weeks, the patients in these three groups underwent CA-SRL or DL training combined with cognitive training. After the intervention, all outcomes significantly improved (P < 0.05). The CA-SRL group showed better improvements in all trained tasks among the groups, especially in "wash the dishes" and “change the bed”. The results of the analysis for generalization abilities showed that CA-SRL group patients obtained the highest scores among the groups in untrained tasks. The mean changes in the Montreal Cognitive Assessment in both the CA-SRL and TL groups were significantly higher than those in the DL group (P < 0.001, P = 0.002) after adjusting for education level and Lawton Instrumental ADL Scale score. In general, the combination of CA-SRL and CACT is effective for PSCI patients and has a better effect on promoting skill generalization from cognitive gains than traditional training.

Details

Title
Computer aided self-regulation learning and cognitive training improve generalization ability of patients with poststroke cognitive impairment
Author
He, Youze 1 ; Yang, Ting 1 ; Bao, Yaqi 1 ; Xiao, Tianshen 1 ; Wu, Tiecheng 2 ; Wu, Jingsong 2 

 Fujian University of Traditional Chinese Medicine, College of Rehabilitation Medicine, Fuzhou, China (GRID:grid.411504.5) (ISNI:0000 0004 1790 1622) 
 Fujian University of Traditional Chinese Medicine, College of Rehabilitation Medicine, Fuzhou, China (GRID:grid.411504.5) (ISNI:0000 0004 1790 1622); Fujian Collaborative Innovation Center for Rehabilitation Technology, Fuzhou, China (GRID:grid.411504.5) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2611009524
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.