The Prognostic Utility of Electroencephalography in Stroke Recovery: A Systematic Review and Meta-Analysis.
Amanda A Vatinno, Annie Simpson, Viswanathan Ramakrishnan and 3 others
PMID 35311412WHAT IT FOUND
Across 75 studies, EEG recorded after stroke predicted later independence and stroke severity, and in most studies added prognostic information beyond the initial clinical score.
Evidence for upper limb, speech, balance and cognition was mixed, and no single best EEG measure has been agreed.
Key findings
01Across the 75 studies reviewed, 70 reported that EEG predicted later outcomes at least in part, and positive results were seen both early and later after stroke.
02Pooled across 31 studies, baseline EEG correlated 0.72 with later disability (Modified Rankin Scale) and 0.70 with stroke severity (NIH Stroke Scale), both described as strong, and 0.53 with upper limb motor scores (Fugl-Meyer), described as moderate.
03Twenty-one of the 28 studies that tested whether EEG added anything beyond the initial clinical score found that it did.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for SLPs
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What it does not show
Publication bias may inflate how good EEG looks here, because studies that found nothing are less likely to be published; the authors acknowledge the prognostic value found in the review may be overstated. Most studies were exploratory rather than testing a pre-chosen EEG measure, and many reported results for several variables, outcomes and time points, so some positive findings are likely to be chance. Reporting was often incomplete. The average quality score was 11 out of 16, and 7 of the 75 studies were rated poor, mostly for missing variance estimates or no adjustment for confounders such as age and initial clinical score. No study directly compared ischemic with hemorrhagic stroke, so the review cannot say whether EEG predicts recovery differently for the two types. Only papers published in English were included. Samples were small: the median study had 34 participants. The review used stricter criteria than the original authors, counting some results as negative that the papers themselves called positive, so the studies may look weaker here than in their own reports.
Declared interests
The authors declare no conflicts of interest. No funder is named in the declaration.
The easy way to misread this
Do not read this as a tool for predicting an individual patient's recovery. The pooled numbers come mostly from exploratory studies of mixed quality, with a median of 34 participants each, and the authors say no consensus exists yet on which EEG measure to use.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →