ArticleEpilepsia open2021
Behavioral phenotypes of temporal lobe epilepsy.
Article in Epilepsia open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic literature review of the humanistic and economic burden of focal epilepsy and primary generalized tonic-clonic seizures in adults.Epilepsia open · 2024Pooled it
- Kainic acid pig model of hippocampal epilepsy.Scientific reports · 2026Article
- Long-term characterization of behavior phenotypes in children with seizures: Analytic approach matters.Epilepsia · 2025Article
- Advances in understanding the pathogenesis of epilepsy: Unraveling the molecular mechanisms: A cross-sectional study.Health science reports · 2024Article
- Unified topological inference for brain networks in temporal lobe epilepsy using the Wasserstein distance.NeuroImage · 2023Article
- Association of Neighborhood Deprivation With Cognitive and Mood Outcomes in Adults With Pharmacoresistant Temporal Lobe Epilepsy.Neurology · 2023Article
- The presence, nature and network characteristics of behavioural phenotypes in temporal lobe epilepsy.Brain communications · 2023Article
- Characterizing Sleep Phenotypes in Children With Newly Diagnosed Epilepsy.Pediatric neurology · 2022Article
- Neurobehavioural comorbidities of epilepsy: towards a network-based precision taxonomy.Nature reviews. Neurology · 2021Review
- Behavioral phenotypes of temporal lobe epilepsy.Epilepsia open · 2021Article
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5 authors.
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Abstract
objectiveTo identity phenotypes of self-reported symptoms of psychopathology and their correlates in patients with temporal lobe epilepsy (TLE).
method96 patients with TLE and 82 controls were administered the Symptom Checklist 90-Revised (SCL-90-R) to characterize emotional-behavioral status. The nine symptom scales of the SCL-90-R were analyzed by unsupervised machine learning techniques to identify latent TLE groups. Identified clusters were contrasted to controls to characterize their association with sociodemographic, clinical epilepsy, neuropsychological, psychiatric, and neuroimaging factors.
resultsTLE patients as a group exhibited significantly higher (abnormal) scores across all SCL-90-R scales compared to controls. However, cluster analysis identified three latent groups: (1) unimpaired with no scale elevations compared to controls (Cluster 1, 42% of TLE patients), (2) mild-to-moderate symptomatology characterized by significant elevations across several SCL-90-R scales compared to controls (Cluster 2, 35% of TLE patients), and (3) marked symptomatology with significant elevations across all scales compared to controls and the other TLE phenotype groups (Cluster 3, 23% of TLE patients). There were significant associations between cluster membership and demographic (education), clinical epilepsy (perceived seizure severity, bitemporal lobe seizure onset), and neuropsychological status (intelligence, memory, executive function), but with minimal structural neuroimaging correlates. Concurrent validity of the behavioral phenotype grouping was demonstrated through association with psychiatric (current and lifetime-to-date DSM IV Axis 1 disorders and current treatment) and quality-of-life variables. SIGNIFICANCE: Symptoms of psychopathology in patients with TLE are characterized by a series of discrete phenotypes with accompanying sociodemographic, cognitive, and clinical correlates. Similar to cognition in TLE, machine learning approaches suggest a developing taxonomy of the comorbidities of epilepsy.
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