B.4 Quantitative electroencephalography to predict post-stroke disability: a systematic review and meta-analysis

Background: We aim to assess the role of quantitative electroencephalography (QEEG) derived indices predict post-stroke disability. Methods: included observational studies (sample-size≥10) patients with stroke who underwent EEG and a follow-up outcome assessment was available either in form modified Rankin scale (mRS) or National Institute (NIHSS) Fugl-Meyer (FMA). QEEG analyzed were delta-alpha ratio (DAR), delta-theta-alpha-beta (DTABR), brain symmetry (BSI) pairwise (pdBSI). Results: Twelve (11 had only ischemic stroke, one both hemorrhagic stroke), including 513 participants for meta-analysis. Higher DAR associated worse mRS (n=300, Pearson’s r 0.26, 95% CI 0.21-0.31). DTABR (n=337, 0.32, 0.26-0.39). higher NIHSS (n=161, 0.42, CI0.24-0.6). (n=172, 0.49, 0.31-0.67). pdBSI inversely FMA (n=20, -0.50 -0.86-(-0.14)) BSI not (n=21, -0.3 -0.81-0.22). Conclusions: QEEG-derived have potential Adding clinical imaging biomarkers may help better prediction recovery. PROSPERO 2022 CRD42022292281