Cargando…
Behavioral phenotypes of temporal lobe epilepsy
OBJECTIVE: To identity phenotypes of self‐reported symptoms of psychopathology and their correlates in patients with temporal lobe epilepsy (TLE). METHOD: 96 patients with TLE and 82 controls were administered the Symptom Checklist 90‐Revised (SCL‐90‐R) to characterize emotional‐behavioral status. T...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166791/ https://www.ncbi.nlm.nih.gov/pubmed/34033251 http://dx.doi.org/10.1002/epi4.12488 |
_version_ | 1783701571353182208 |
---|---|
author | Hermann, Bruce P. Struck, Aaron F. Dabbs, Kevin Seidenberg, Mike Jones, Jana E. |
author_facet | Hermann, Bruce P. Struck, Aaron F. Dabbs, Kevin Seidenberg, Mike Jones, Jana E. |
author_sort | Hermann, Bruce P. |
collection | PubMed |
description | OBJECTIVE: To identity phenotypes of self‐reported symptoms of psychopathology and their correlates in patients with temporal lobe epilepsy (TLE). METHOD: 96 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. RESULTS: TLE 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. |
format | Online Article Text |
id | pubmed-8166791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81667912021-06-05 Behavioral phenotypes of temporal lobe epilepsy Hermann, Bruce P. Struck, Aaron F. Dabbs, Kevin Seidenberg, Mike Jones, Jana E. Epilepsia Open Full‐length Original Research OBJECTIVE: To identity phenotypes of self‐reported symptoms of psychopathology and their correlates in patients with temporal lobe epilepsy (TLE). METHOD: 96 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. RESULTS: TLE 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. John Wiley and Sons Inc. 2021-05-05 /pmc/articles/PMC8166791/ /pubmed/34033251 http://dx.doi.org/10.1002/epi4.12488 Text en © 2021 The Authors. Epilepsia Open published by Wiley Periodicals LLC on behalf of International League Against Epilepsy https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full‐length Original Research Hermann, Bruce P. Struck, Aaron F. Dabbs, Kevin Seidenberg, Mike Jones, Jana E. Behavioral phenotypes of temporal lobe epilepsy |
title | Behavioral phenotypes of temporal lobe epilepsy |
title_full | Behavioral phenotypes of temporal lobe epilepsy |
title_fullStr | Behavioral phenotypes of temporal lobe epilepsy |
title_full_unstemmed | Behavioral phenotypes of temporal lobe epilepsy |
title_short | Behavioral phenotypes of temporal lobe epilepsy |
title_sort | behavioral phenotypes of temporal lobe epilepsy |
topic | Full‐length Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166791/ https://www.ncbi.nlm.nih.gov/pubmed/34033251 http://dx.doi.org/10.1002/epi4.12488 |
work_keys_str_mv | AT hermannbrucep behavioralphenotypesoftemporallobeepilepsy AT struckaaronf behavioralphenotypesoftemporallobeepilepsy AT dabbskevin behavioralphenotypesoftemporallobeepilepsy AT seidenbergmike behavioralphenotypesoftemporallobeepilepsy AT jonesjanae behavioralphenotypesoftemporallobeepilepsy |