Computer aided self-regulation learning and cognitive training improve generalization ability of patients with poststroke cognitive impairment

Author:

Youze He,Ting Yang,Yaqi Bao,Tianshen Xiao,Tiecheng Wu,Jingsong Wu

Abstract

AbstractEmerging 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.

Funder

Central Government Guided Local Science and Technology Development Project

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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