ArticleFrontiers in neuroscience2022
An objective model for diagnosing comorbid cognitive impairment in patients with epilepsy based on the clinical-EEG functional connectivity features.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Individual-specific resting-state networks predict language dominance in drug-resistant epilepsy.Epilepsia · 2026Article
- Quantitative Electroencephalography as a Complement to Symptom-Based Psychiatric Diagnosis: A Narrative Review.Journal of personalized medicine · 2026Review
- Anterior prefrontal EEG theta activities indicate memory and executive functions in patients with epilepsy.Epilepsia · 2025Article
- The impact of high-frequency rTMS treatment on brain activity in PSCI patients: a TMS-EEG study.Frontiers in neurology · 2025Article
- Pharmacovigilance signal detection of psychiatric adverse events induced by third-generation antiepileptic drugs in children.Frontiers in pharmacology · 2025Article
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Authors and funding
13 authors at 6 institutions in 1 country.
Funding
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Abstract
Objective: Cognitive impairment (CI) is a common disorder in patients with epilepsy (PWEs). Objective assessment method for diagnosing CI in PWEs would be beneficial in reality. This study proposed to construct a diagnostic model for CI in PWEs using the clinical and the phase locking value (PLV) functional connectivity features of the electroencephalogram (EEG). Methods: PWEs who met the inclusion and exclusion criteria were divided into a cognitively normal (CON) group ( Results: GBDT-built model with combined clinical and PLV Conclusion: The model constructed from the combined clinical and PLV
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