Content » Vol 47, Issue 8

Review article

Low-frequency repetitive transcranial magnetic stimulation for patients with aphasia after stoke: A meta-analysis

Yi Li , Yun Qu, Mengwei Yuan , Tianhui Du
Department of Rehabilitation Medicine, West China Hospital, Sichuan Provincial Key Laboratory of Rehabilitation Medicine, Sichuan University, Chengdu, Sichuan, People's Republic of China, China
DOI: 10.2340/16501977-1988

Abstract

Objective: To perform a meta-analysis of studies investigating the effects of low-frequency repetitive transcranial magnetic stimulation on post-stroke aphasia.
Data sources: Studies were identified by performing a search of electronic databases (MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Knowledge) for articles published until June 2014.
Study selection: Randomized controlled trials (RCTs) reporting treatments with low-frequency repetitive transcranial magnetic stimulation in patients with post-stroke aphasia were included. The outcomes included naming, repetition, comprehension, changes in brain excitability, and adverse events.
Data extraction: Two independent reviewers extracted the data. Study quality was evaluated with the PEDro scale.
Data analysis: Of the 879 articles identified, 4 RCTs were included in the final analysis. Data synthesis showed that low-frequency repetitive transcranial magnetic stimulation was beneficial for post-stroke patients in terms of naming (standard mean difference (SMD) 0.51; 95% confidence interval (95% CI) 0.16–0.86) and changes in brain excitability (7.6 ± 33.55; 95% CI –10.7–26.20). However, the changes in repetition (SMD 0.31; 95% CI –0.04–0.65) and comprehension (SMD 0.31; 95% CI –0.14–0.75) after stimulation were not significant. No adverse effects were reported. The included studies were of high methodological quality.
Conclusion: These findings indicate that low-frequency repetitive transcranial magnetic stimulation is an effective treatment for recovery of naming. In addition, this treatment favours reorganization of the left-hemispheric language networks.

Lay Abstract

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