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Psychomotor slowing is associated with anomalies in baseline and prospective large scale neural networks in youth with epilepsy

PURPOSE: Psychomotor slowing is a common but understudied cognitive impairment in epilepsy. Here we test the hypothesis that psychomotor slowing is associated with alterations in brain status reflected through analysis of large scale structural networks. We test the hypothesis that children with epi...

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Autores principales: Garcia-Ramos, Camille, Dabbs, Kevin, Meyerand, Elizabeth, Prabhakaran, Vivek, Hsu, David, Jones, Jana, Seidenberg, Michael, Hermann, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051771/
https://www.ncbi.nlm.nih.gov/pubmed/30035016
http://dx.doi.org/10.1016/j.nicl.2018.04.020
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author Garcia-Ramos, Camille
Dabbs, Kevin
Meyerand, Elizabeth
Prabhakaran, Vivek
Hsu, David
Jones, Jana
Seidenberg, Michael
Hermann, Bruce
author_facet Garcia-Ramos, Camille
Dabbs, Kevin
Meyerand, Elizabeth
Prabhakaran, Vivek
Hsu, David
Jones, Jana
Seidenberg, Michael
Hermann, Bruce
author_sort Garcia-Ramos, Camille
collection PubMed
description PURPOSE: Psychomotor slowing is a common but understudied cognitive impairment in epilepsy. Here we test the hypothesis that psychomotor slowing is associated with alterations in brain status reflected through analysis of large scale structural networks. We test the hypothesis that children with epilepsy with cognitive slowing at diagnosis will exhibit a cross-sectional and prospective pattern of altered brain development. METHODS: A total of 78 children (age 8–18) with new/recent onset idiopathic epilepsies underwent 1.5 T MRI with network analysis of cortical, subcortical and cerebellar volumes. Children with epilepsy were divided into slow and fast psychomotor speed groups (adjusted for age, intelligence and epilepsy syndrome). RESULTS: At baseline, slow-speed performers (SSP) presented lower modularity, lower global efficiency, higher transitivity, and lower number of hubs than fast-speed performers (FSP). Community structure in SSP exhibited poor association between cortical regions and both subcortical structures and the cerebellum while FSP presented well-defined communities. Prospectively, SSP displayed lower modularity but higher global efficiency and transitivity compared to FSP. Modules in FSP showed higher integration between and within themselves compared to SSP. SSP showed hubs mainly from frontal and temporal regions while in FSP were spread among frontal, temporal, parietal, subcortical areas and the left cerebellum. IMPLICATIONS: Results suggest the presence of widespread alterations in large scale networks between fast- and slow-speed children with recent onset epilepsies both at baseline and 2 years later. Slower processing speed appears to be a marker of abnormal brain development antecedent to epilepsy onset as well as brain development over the 2 years following diagnosis.
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spelling pubmed-60517712018-07-20 Psychomotor slowing is associated with anomalies in baseline and prospective large scale neural networks in youth with epilepsy Garcia-Ramos, Camille Dabbs, Kevin Meyerand, Elizabeth Prabhakaran, Vivek Hsu, David Jones, Jana Seidenberg, Michael Hermann, Bruce Neuroimage Clin Regular Article PURPOSE: Psychomotor slowing is a common but understudied cognitive impairment in epilepsy. Here we test the hypothesis that psychomotor slowing is associated with alterations in brain status reflected through analysis of large scale structural networks. We test the hypothesis that children with epilepsy with cognitive slowing at diagnosis will exhibit a cross-sectional and prospective pattern of altered brain development. METHODS: A total of 78 children (age 8–18) with new/recent onset idiopathic epilepsies underwent 1.5 T MRI with network analysis of cortical, subcortical and cerebellar volumes. Children with epilepsy were divided into slow and fast psychomotor speed groups (adjusted for age, intelligence and epilepsy syndrome). RESULTS: At baseline, slow-speed performers (SSP) presented lower modularity, lower global efficiency, higher transitivity, and lower number of hubs than fast-speed performers (FSP). Community structure in SSP exhibited poor association between cortical regions and both subcortical structures and the cerebellum while FSP presented well-defined communities. Prospectively, SSP displayed lower modularity but higher global efficiency and transitivity compared to FSP. Modules in FSP showed higher integration between and within themselves compared to SSP. SSP showed hubs mainly from frontal and temporal regions while in FSP were spread among frontal, temporal, parietal, subcortical areas and the left cerebellum. IMPLICATIONS: Results suggest the presence of widespread alterations in large scale networks between fast- and slow-speed children with recent onset epilepsies both at baseline and 2 years later. Slower processing speed appears to be a marker of abnormal brain development antecedent to epilepsy onset as well as brain development over the 2 years following diagnosis. Elsevier 2018-04-20 /pmc/articles/PMC6051771/ /pubmed/30035016 http://dx.doi.org/10.1016/j.nicl.2018.04.020 Text en © 2018 The Authors 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
Garcia-Ramos, Camille
Dabbs, Kevin
Meyerand, Elizabeth
Prabhakaran, Vivek
Hsu, David
Jones, Jana
Seidenberg, Michael
Hermann, Bruce
Psychomotor slowing is associated with anomalies in baseline and prospective large scale neural networks in youth with epilepsy
title Psychomotor slowing is associated with anomalies in baseline and prospective large scale neural networks in youth with epilepsy
title_full Psychomotor slowing is associated with anomalies in baseline and prospective large scale neural networks in youth with epilepsy
title_fullStr Psychomotor slowing is associated with anomalies in baseline and prospective large scale neural networks in youth with epilepsy
title_full_unstemmed Psychomotor slowing is associated with anomalies in baseline and prospective large scale neural networks in youth with epilepsy
title_short Psychomotor slowing is associated with anomalies in baseline and prospective large scale neural networks in youth with epilepsy
title_sort psychomotor slowing is associated with anomalies in baseline and prospective large scale neural networks in youth with epilepsy
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051771/
https://www.ncbi.nlm.nih.gov/pubmed/30035016
http://dx.doi.org/10.1016/j.nicl.2018.04.020
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