Cargando…

Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy

This study explored the taxonomy of cognitive impairment within temporal lobe epilepsy and characterized the sociodemographic, clinical and neurobiological correlates of identified cognitive phenotypes. 111 temporal lobe epilepsy patients and 83 controls (mean ages 33 and 39, 57% and 61% female, res...

Descripción completa

Detalles Bibliográficos
Autores principales: Hermann, Bruce, Conant, Lisa L., Cook, Cole J., Hwang, Gyujoon, Garcia-Ramos, Camille, Dabbs, Kevin, Nair, Veena A., Mathis, Jedidiah, Bonet, Charlene N. Rivera, Allen, Linda, Almane, Dace N., Arkush, Karina, Birn, Rasmus, DeYoe, Edgar A., Felton, Elizabeth, Maganti, Rama, Nencka, Andrew, Raghavan, Manoj, Shah, Umang, Sosa, Veronica N., Struck, Aaron F., Ustine, Candida, Reyes, Anny, Kaestner, Erik, McDonald, Carrie, Prabhakaran, Vivek, Binder, Jeffrey R., Meyerand, Mary E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7381697/
https://www.ncbi.nlm.nih.gov/pubmed/32707534
http://dx.doi.org/10.1016/j.nicl.2020.102341
_version_ 1783563098222755840
author Hermann, Bruce
Conant, Lisa L.
Cook, Cole J.
Hwang, Gyujoon
Garcia-Ramos, Camille
Dabbs, Kevin
Nair, Veena A.
Mathis, Jedidiah
Bonet, Charlene N. Rivera
Allen, Linda
Almane, Dace N.
Arkush, Karina
Birn, Rasmus
DeYoe, Edgar A.
Felton, Elizabeth
Maganti, Rama
Nencka, Andrew
Raghavan, Manoj
Shah, Umang
Sosa, Veronica N.
Struck, Aaron F.
Ustine, Candida
Reyes, Anny
Kaestner, Erik
McDonald, Carrie
Prabhakaran, Vivek
Binder, Jeffrey R.
Meyerand, Mary E.
author_facet Hermann, Bruce
Conant, Lisa L.
Cook, Cole J.
Hwang, Gyujoon
Garcia-Ramos, Camille
Dabbs, Kevin
Nair, Veena A.
Mathis, Jedidiah
Bonet, Charlene N. Rivera
Allen, Linda
Almane, Dace N.
Arkush, Karina
Birn, Rasmus
DeYoe, Edgar A.
Felton, Elizabeth
Maganti, Rama
Nencka, Andrew
Raghavan, Manoj
Shah, Umang
Sosa, Veronica N.
Struck, Aaron F.
Ustine, Candida
Reyes, Anny
Kaestner, Erik
McDonald, Carrie
Prabhakaran, Vivek
Binder, Jeffrey R.
Meyerand, Mary E.
author_sort Hermann, Bruce
collection PubMed
description This study explored the taxonomy of cognitive impairment within temporal lobe epilepsy and characterized the sociodemographic, clinical and neurobiological correlates of identified cognitive phenotypes. 111 temporal lobe epilepsy patients and 83 controls (mean ages 33 and 39, 57% and 61% female, respectively) from the Epilepsy Connectome Project underwent neuropsychological assessment, clinical interview, and high resolution 3T structural and resting-state functional MRI. A comprehensive neuropsychological test battery was reduced to core cognitive domains (language, memory, executive, visuospatial, motor speed) which were then subjected to cluster analysis. The resulting cognitive subgroups were compared in regard to sociodemographic and clinical epilepsy characteristics as well as variations in brain structure and functional connectivity. Three cognitive subgroups were identified (intact, language/memory/executive function impairment, generalized impairment) which differed significantly, in a systematic fashion, across multiple features. The generalized impairment group was characterized by an earlier age at medication initiation (P < 0.05), fewer patient (P < 0.001) and parental years of education (P < 0.05), greater racial diversity (P < 0.05), and greater number of lifetime generalized seizures (P < 0.001). The three groups also differed in an orderly manner across total intracranial (P < 0.001) and bilateral cerebellar cortex volumes (P < 0.01), and rate of bilateral hippocampal atrophy (P < 0.014), but minimally in regional measures of cortical volume or thickness. In contrast, large-scale patterns of cortical-subcortical covariance networks revealed significant differences across groups in global and local measures of community structure and distribution of hubs. Resting-state fMRI revealed stepwise anomalies as a function of cluster membership, with the most abnormal patterns of connectivity evident in the generalized impairment group and no significant differences from controls in the cognitively intact group. Overall, the distinct underlying cognitive phenotypes of temporal lobe epilepsy harbor systematic relationships with clinical, sociodemographic and neuroimaging correlates. Cognitive phenotype variations in patient and familial education and ethnicity, with linked variations in total intracranial volume, raise the question of an early and persisting socioeconomic-status related neurodevelopmental impact, with additional contributions of clinical epilepsy factors (e.g., lifetime generalized seizures). The neuroimaging features of cognitive phenotype membership are most notable for disrupted large scale cortical-subcortical networks and patterns of functional connectivity with bilateral hippocampal and cerebellar atrophy. The cognitive taxonomy of temporal lobe epilepsy appears influenced by features that reflect the combined influence of socioeconomic, neurodevelopmental and neurobiological risk factors.
format Online
Article
Text
id pubmed-7381697
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-73816972020-07-28 Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy Hermann, Bruce Conant, Lisa L. Cook, Cole J. Hwang, Gyujoon Garcia-Ramos, Camille Dabbs, Kevin Nair, Veena A. Mathis, Jedidiah Bonet, Charlene N. Rivera Allen, Linda Almane, Dace N. Arkush, Karina Birn, Rasmus DeYoe, Edgar A. Felton, Elizabeth Maganti, Rama Nencka, Andrew Raghavan, Manoj Shah, Umang Sosa, Veronica N. Struck, Aaron F. Ustine, Candida Reyes, Anny Kaestner, Erik McDonald, Carrie Prabhakaran, Vivek Binder, Jeffrey R. Meyerand, Mary E. Neuroimage Clin Regular Article This study explored the taxonomy of cognitive impairment within temporal lobe epilepsy and characterized the sociodemographic, clinical and neurobiological correlates of identified cognitive phenotypes. 111 temporal lobe epilepsy patients and 83 controls (mean ages 33 and 39, 57% and 61% female, respectively) from the Epilepsy Connectome Project underwent neuropsychological assessment, clinical interview, and high resolution 3T structural and resting-state functional MRI. A comprehensive neuropsychological test battery was reduced to core cognitive domains (language, memory, executive, visuospatial, motor speed) which were then subjected to cluster analysis. The resulting cognitive subgroups were compared in regard to sociodemographic and clinical epilepsy characteristics as well as variations in brain structure and functional connectivity. Three cognitive subgroups were identified (intact, language/memory/executive function impairment, generalized impairment) which differed significantly, in a systematic fashion, across multiple features. The generalized impairment group was characterized by an earlier age at medication initiation (P < 0.05), fewer patient (P < 0.001) and parental years of education (P < 0.05), greater racial diversity (P < 0.05), and greater number of lifetime generalized seizures (P < 0.001). The three groups also differed in an orderly manner across total intracranial (P < 0.001) and bilateral cerebellar cortex volumes (P < 0.01), and rate of bilateral hippocampal atrophy (P < 0.014), but minimally in regional measures of cortical volume or thickness. In contrast, large-scale patterns of cortical-subcortical covariance networks revealed significant differences across groups in global and local measures of community structure and distribution of hubs. Resting-state fMRI revealed stepwise anomalies as a function of cluster membership, with the most abnormal patterns of connectivity evident in the generalized impairment group and no significant differences from controls in the cognitively intact group. Overall, the distinct underlying cognitive phenotypes of temporal lobe epilepsy harbor systematic relationships with clinical, sociodemographic and neuroimaging correlates. Cognitive phenotype variations in patient and familial education and ethnicity, with linked variations in total intracranial volume, raise the question of an early and persisting socioeconomic-status related neurodevelopmental impact, with additional contributions of clinical epilepsy factors (e.g., lifetime generalized seizures). The neuroimaging features of cognitive phenotype membership are most notable for disrupted large scale cortical-subcortical networks and patterns of functional connectivity with bilateral hippocampal and cerebellar atrophy. The cognitive taxonomy of temporal lobe epilepsy appears influenced by features that reflect the combined influence of socioeconomic, neurodevelopmental and neurobiological risk factors. Elsevier 2020-07-10 /pmc/articles/PMC7381697/ /pubmed/32707534 http://dx.doi.org/10.1016/j.nicl.2020.102341 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Hermann, Bruce
Conant, Lisa L.
Cook, Cole J.
Hwang, Gyujoon
Garcia-Ramos, Camille
Dabbs, Kevin
Nair, Veena A.
Mathis, Jedidiah
Bonet, Charlene N. Rivera
Allen, Linda
Almane, Dace N.
Arkush, Karina
Birn, Rasmus
DeYoe, Edgar A.
Felton, Elizabeth
Maganti, Rama
Nencka, Andrew
Raghavan, Manoj
Shah, Umang
Sosa, Veronica N.
Struck, Aaron F.
Ustine, Candida
Reyes, Anny
Kaestner, Erik
McDonald, Carrie
Prabhakaran, Vivek
Binder, Jeffrey R.
Meyerand, Mary E.
Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy
title Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy
title_full Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy
title_fullStr Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy
title_full_unstemmed Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy
title_short Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy
title_sort network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7381697/
https://www.ncbi.nlm.nih.gov/pubmed/32707534
http://dx.doi.org/10.1016/j.nicl.2020.102341
work_keys_str_mv AT hermannbruce networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT conantlisal networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT cookcolej networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT hwanggyujoon networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT garciaramoscamille networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT dabbskevin networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT nairveenaa networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT mathisjedidiah networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT bonetcharlenenrivera networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT allenlinda networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT almanedacen networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT arkushkarina networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT birnrasmus networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT deyoeedgara networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT feltonelizabeth networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT magantirama networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT nenckaandrew networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT raghavanmanoj networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT shahumang networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT sosaveronican networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT struckaaronf networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT ustinecandida networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT reyesanny networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT kaestnererik networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT mcdonaldcarrie networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT prabhakaranvivek networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT binderjeffreyr networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy
AT meyerandmarye networkclinicalandsociodemographicfeaturesofcognitivephenotypesintemporallobeepilepsy