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Updated: Aug 14, 2026

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
Assessing the correlation between sensorimotor evoked potential and cognitive impairment in post-stroke patients
Zhipeng Yan1,2, Hao Luo3, Bilian Guo1,2
1Department of Rehabilitation Medicine, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Post-stroke cognitive impairment (PSCI) severity correlates with motor evoked potentials (MEP) presence, not somatosensory evoked potentials (SEP). MEP absence indicates higher cognitive decline, suggesting MEP as a potential biomarker for PSCI.
Area of Science:
- Neuroscience
- Neurology
- Biomarkers
Background:
- Stroke survivors frequently experience cognitive impairment, impacting quality of life.
- Current diagnostic methods for post-stroke cognitive impairment (PSCI) are limited.
- Objective biomarkers are needed for effective PSCI screening and management.
Purpose of the Study:
- Investigate the link between PSCI severity and sensorimotor evoked potentials.
- Compare interhemispheric sensorimotor cortex excitability in stroke patients.
- Assess the potential of evoked potentials as PSCI screening tools.
Main Methods:
- Evaluated 22 stroke patients 3-6 months post-stroke using neuropsychological and clinical assessments.
- Measured motor evoked potentials (MEP) via transcranial magnetic stimulation to assess motor cortex excitability.
- Recorded somatosensory evoked potentials (SEP) to evaluate somatosensory cortex excitability.
Main Results:
- MEP absence correlated with cognitive severity; 80% of MEP-absent patients had dementia.
- Affected hemispheres showed elevated resting motor threshold and prolonged SEP N20 latency.
- Unaffected hemispheres exhibited altered excitability patterns with worsening cognition.
Conclusions:
- PSCI severity is associated with MEP presence/absence, not SEP measures.
- Motor evoked potentials show promise as a biomarker for assessing cognitive impairment after stroke.
- Longitudinal studies are required to validate the predictive utility of MEPs for PSCI.
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