Noninvasive brain stimulation for patients with a disorder of consciousness: a systematic review and meta-analysis.
Yali FengJack Jiaqi ZhangYi ZhouZhongfei BaiYing YinPublished in: Reviews in the neurosciences (2020)
Noninvasive brain stimulation (NIBS) techniques have been used to facilitate the recovery from prolonged unconsciousness as a result of brain injury. The aim of this study is to systematically assess the effects of NIBS in patients with a disorder of consciousness (DOC). We searched four databases for any randomized controlled trials on the effect of NIBS in patients with a DOC, which used the JFK Coma Recovery Scale-Revised (CRS-R) as the primary outcome measure. A random-effects meta-analysis was conducted to pool effect sizes. Fourteen studies with 273 participants were included in this review, of which 12 studies with sufficient data were included in the meta-analysis. Our meta-analysis showed a significant effect on increasing CRS-R scores in favor of real stimulation as compared to sham (Hedges' g = 0.522; 95% confidence interval [CI], 0.318-0.726; P < 0.0001, I2 = 0.00%). Subgroup analysis demonstrated that only anodal transcranial direct current stimulation (tDCS) of the left dorsolateral prefrontal cortex (DLPFC) significantly enhances the CRS-R scores in patients with a DOC, as compared to sham (Hedges' g = 0.703; 95% CI, 0.419-0.986; P < 0.001), and this effect was predominant in patients in a minimally conscious state (MCS) (Hedges' g = 0.815; 95% CI, 0.429-1.200; P < 0.001). Anodal tDCS of the left DLPFC appears to be an effective approach for patients with MCS.
Keyphrases
- transcranial direct current stimulation
- systematic review
- prefrontal cortex
- brain injury
- case control
- working memory
- meta analyses
- randomized controlled trial
- end stage renal disease
- subarachnoid hemorrhage
- newly diagnosed
- cerebral ischemia
- ejection fraction
- peritoneal dialysis
- transcranial magnetic stimulation
- big data
- clinical trial
- machine learning
- electronic health record
- blood brain barrier
- data analysis
- high frequency
- artificial intelligence
- patient reported outcomes
- deep learning