ArticleEpilepsy & behavior : E&B2021
Validation of a predictive calculator to distinguish between patients presenting with dissociative versus epileptic seizures.
Article in Epilepsy & behavior : E&B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Exploring the Dynamic Relationship Between Migraine and Functional Neurological Disorders: A Narrative Review.Current pain and headache reports · 2026Review
- Quantifying the impact of a computer-aided diagnostic score on the clinical diagnosis of functional seizures.Epilepsia · 2026Article
- Pregnancy outcomes and changes to seizure frequency during pregnancy for patients with functional seizures.Epilepsy & behavior : E&B · 2025Article
- The prevalence of comorbidities in people with psychogenic non-epileptic seizures (2013-2023).Epilepsy & behavior : E&B · 2025Article
- Supervised machine learning compared to large language models for identifying functional seizures from medical records.Epilepsia · 2025Article
- Development of a diagnostic checklist to identify functional cognitive disorder versus other neurocognitive disorders.BMJ neurology open · 2025Article
- Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist.Current neurology and neuroscience reports · 2023Review
- Functional Seizure Clinics: A Proposed Financially Viable Solution to the Neurologist Supply and Demand Mismatch.Neurology. Clinical practice · 2023Article
- Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.Frontiers in neurology · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Dissociative seizures (also known as psychogenic nonepileptic seizures) are a common functional neurological disorder that can be difficult to distinguish from epileptic seizures. Patients with dissociative seizures provide diagnostic challenges, leading to delays in care, inappropriate care, and significant healthcare utilization and associated costs. The dissociative seizure likelihood score (DSLS) was developed by Kerr and colleagues at UCLA to distinguish between patients with epileptic seizures and dissociative seizures based on clinical and medication history as well as features of seizure semiology. We validated this calculator at the University of Colorado, which is a Level 4 National Association of Epilepsy Center. The DSLS accurately predicted the diagnosis in 81% of patients, despite local variability in the factors associated with epileptic versus dissociative seizures between the two populations. The DSLS can be a useful tool to assist with history taking and may have important utility for clinical decision making with these difficult to distinguish patient populations.
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