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Updated: Feb 8, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
Quantitative EEG and functional outcome following acute ischemic stroke
Carla Bentes1, Ana Rita Peralta1, Pedro Viana1
1EEG/Sleep Laboratory and Stroke Unit, Department of Neurosciences and Mental Health (Neurology), Hospital de Santa Maria - CHLN, Avenida Professor Egas Moniz, Lisboa 1649-035, Portugal; Faculty of Medicine, Universidade de Lisboa, Avenida Professor Egas Moniz, Lisboa 1649-035, Portugal.
Objective:
To identify the most accurate quantitative electroencephalographic (qEEG) predictor(s) of unfavorable post-ischemic stroke outcome, and its discriminative capacity compared to already known demographic, clinical and imaging prognostic markers.
Methods:
Prospective cohort of 151 consecutive anterior circulation ischemic stroke patients followed for 12 months. EEG was recorded within 72 h and at discharge or 7 days post-stroke. QEEG (global band power, symmetry, affected/unaffected hemisphere and time changes) indices were calculated from mean Fast Fourier Transform and analyzed as predictors of unfavorable outcome (mRS ≥ 3), at discharge and 12 months poststroke, before and after adjustment for age, admission NIHSS and ASPECTS.
Results:
Higher delta, lower alpha and beta relative powers (RP) predicted outcome. Indices with higher discriminative capacity were delta-theta to alpha-beta ratio (DTABR) and alpha RP. Outcome models including either of these and other clinical/imaging stroke outcome predictors were superior to models without qEEG data. In models with qEEG indices, infarct size was not a significant outcome predictor.
Conclusions:
DTAABR and alpha RP are the best qEEG indices and superior to ASPECTS in post-stroke outcome prediction. They improve the discriminative capacity of already known clinical and imaging stroke outcome predictors, both at discharge and 12 months after stroke.
Significance:
qEEG indices are independent predictors of stroke outcome.
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