ORIGINAL RESEARCH article
Front. Neurol.
Sec. Neurorehabilitation
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1577393
This article is part of the Research TopicAdvances in connectomic neuromodulationView all articles
Resting-state EEG associated with clinical measures to predict upper limb motor recovery of subacute stroke
Provisionally accepted
- 1Shanghai Fifth People's Hospital, Fudan University, Shanghai, China
- 2Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, Shanghai Municipality, China
- 3First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province, China
- 4School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, Shanghai, China
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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 139 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 139 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
Keywords: 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*) resting EEG, stroke, motor recovery, upper limb, prediction
Received: 17 Feb 2025; Accepted: 05 Aug 2025.
Copyright: © 2025 Ling, Xiang, Huiming, Zihang, Shu, Chen and Jia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Shugeng Chen, Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, Shanghai Municipality, China
Jie Jia, Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, Shanghai Municipality, China
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