Are early measured resting-state EEG parameters predictive for upper limb motor impairment six months poststroke?

Mique Saes, Carel G.M. Meskers, Andreas Daffertshofer, Erwin E.H. van Wegen, Gert Kwakkel

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19 Citations (Scopus)


Objectives: Investigate whether resting-state EEG parameters recorded early poststroke can predict upper extremity motor impairment reflected by the Fugl-Meyer motor score (FM-UE) after six months, and whether they have prognostic value in addition to FM-UE at baseline. Methods: Quantitative EEG parameters delta/alpha ratio (DAR), brain symmetry index (BSI) and directional BSI (BSIdir) were derived from 62-channel resting-state EEG recordings in 39 adults within three weeks after a first-ever ischemic hemispheric stroke. FM-UE scores were acquired within three weeks (FM-UEbaseline) and at 26 weeks poststroke (FM-UEw26). Linear regression analyses were performed using a forward selection procedure to predict FM-UEw26. Results: BSI calculated over the theta band (BSItheta) (β = −0.40; p = 0.013) was the strongest EEG-based predictor regarding FM-UEw26. BSItheta (β = −0.27; p = 0.006) remained a significant predictor when added to a regression model including FM-UEbaseline, increasing explained variance from 61.5% to 68.1%. Conclusion: Higher BSItheta values, reflecting more power asymmetry over the hemispheres, predict more upper limb motor impairment six months after stroke. Moreover, BSItheta shows additive prognostic value regarding FM-UEw26 next to FM-UEbaseline scores, and thereby contains unique information regarding upper extremity motor recovery. Significance: To our knowledge, we are the first to show that resting-state EEG parameters can serve as prognostic biomarkers of stroke recovery, in addition to FM-UEbaseline scores.

Original languageEnglish
Pages (from-to)56-62
Number of pages7
JournalClinical neurophysiology
Issue number1
Publication statusPublished - 1 Jan 2021


  • Biomarker
  • EEG
  • Prediction
  • Recovery of function
  • Stroke
  • Upper extremity

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