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Updated: Jan 30, 2026
06:37
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
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Correlation between blood biomarkers and post-stroke cognitive impairment
Xianjun Liu1,2,3, Zhaoyang Lv1,2, Zhihong Shi1,2
1Department of Neurology, Huanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Frontiers in Aging Neuroscience
|January 29, 2026
Summary
Elevated plasma glial fibrillary acidic protein (GFAP) and neurofilament light chain (NFL) levels are linked to increased risk of post-stroke cognitive impairment (PSCI). These biomarkers show promise for predicting PSCI, with their combination offering superior efficacy.
Area of Science:
- Neuroscience
- Biomarker Discovery
- Stroke Research
Background:
- Post-stroke cognitive impairment (PSCI) is a frequent complication of ischemic stroke.
- Limited understanding exists regarding reliable biomarkers for predicting PSCI.
- Identifying blood-based biomarkers is crucial for early detection and management of PSCI.
Purpose of the Study:
- To investigate the correlation between specific blood biomarkers and cognitive function after ischemic stroke.
- To identify potential blood biomarkers for predicting post-stroke cognitive impairment (PSCI).
- To evaluate the predictive efficacy of these biomarkers for PSCI.
Main Methods:
- A prospective study of 128 first-time ischemic stroke patients.
- Plasma levels of GFAP, NFL, and other markers measured within 24 hours of admission.
- Cognitive function assessed at 3-month follow-up using the Montreal Cognitive Assessment (MoCA) scale.
Main Results:
- Plasma GFAP and NFL were identified as independent risk factors for PSCI.
- Both GFAP (AUC=0.779) and NFL (AUC=0.809) demonstrated good predictive performance for PSCI.
- The combination of GFAP and NFL showed superior predictive efficacy (AUC=0.855) for PSCI.
Conclusions:
- Elevated plasma GFAP and NFL levels are associated with an increased risk of PSCI.
- Plasma GFAP and NFL show potential as reliable biomarkers for predicting PSCI.
- The combined use of GFAP and NFL offers enhanced predictive power for PSCI.
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