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Updated: Aug 11, 2026
Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
Published on: February 22, 2020
Resting-state EEG associated with clinical measures to predict upper limb motor recovery of subacute stroke
Ling Ding1,2, Xiang Tian3, Huiming Ren1
1The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Background:
After stroke, upper limb dysfunction seriously affects patients' quality of life. The uncertain prognosis of patients poses a challenge for therapists in developing personalized rehabilitation programs. Electroencephalograph (EEG) power spectrum changes during rehabilitation training may have a predictive effect on the improvement of upper limb movement. Therefore, it is of great clinical significance to explore the EEG power spectrum related to the recovery of upper limb function after stroke.
Method:
This study included 113 subacute stroke survivors who were treated with routine rehabilitation for 2 weeks. At week 0 (T0) and week 2 (T2), behavioral scales including Fugl-Meyer Assessment of Upper Limb (FMA-UL), action research arm test (ARAT), modified Barthel index (MBI), and National Institutes of Health Stroke Scale (NIHSS) was assessed to compare correlations and observe the relationship between behavioral indicators and function under conventional rehabilitation. Twenty-six of the 113 patients were selected to undergo resting state EEG detection at week 0 (T0), week 1 (T1) and week 2 (T2), respectively. Power spectrum (PSD) and BSI values were calculated by EEG spectral analysis. The relationships between beta PSD and the clinical scales, between BSI and the clinical scales were examined by correlation and regression analysis.
Results:
Behavioral scales at T0 and T2 were positively correlated in both cohorts (N = 113, N = 26). Beta PSD correlated with FMA-UL (T1: r = 0.469, p = 0.016*; T2: r = 0.391, p = 0.048*) and ARAT (T0: r = 0.412, p = 0.037*; T1: r = 0.453, p = 0.021*; T2: r = 0.487, p = 0.012*). Beta BSI negatively correlated with Brunnstrom-UL (T2: r = -0.498, p = 0.01*), FMA-UL (T1: r = -0.441, p = 0.036*; T2: r = -0.507, p = 0.008*), and MBI (T2: r = -0.457, p = 0.019*). PSD-T0 predicted FMA-Hand (β = 0.997, p = 0.014*); PSD-T1 predicted ARAT (β = 1.945, p = 0.014*). BSI-T1 predicted Brunnstrom-Hand (β = -401.7, p = 0.049*) and FMA-UL (β = -194.4, p = 0.041*), demonstrating beta EEG's prognostic value.
Conclusion:
Resting state EEG indicators, including beta PSD and BSI, may serve as prognostic biomarkers for upper limb motor function recovery of stroke survivors, providing valuable reference for further clinical decision-making.
