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Brain functional connectivity in sleep-related hypermotor epilepsy

OBJECTIVES: To evaluate functional connectivity (FC) in patients with sleep-related hypermotor epilepsy (SHE) compared to healthy controls. METHODS: Resting state fMRI was performed in 13 patients with a clinical diagnosis of SHE (age = 38.3 ± 11.8 years, 6 M) and 13 matched healthy controls (age = ...

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Autores principales: Evangelisti, Stefania, Testa, Claudia, Ferri, Lorenzo, Gramegna, Laura Ludovica, Manners, David Neil, Rizzo, Giovanni, Remondini, Daniel, Castellani, Gastone, Naldi, Ilaria, Bisulli, Francesca, Tonon, Caterina, Tinuper, Paolo, Lodi, Raffaele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5842749/
https://www.ncbi.nlm.nih.gov/pubmed/29527492
http://dx.doi.org/10.1016/j.nicl.2017.12.002
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author Evangelisti, Stefania
Testa, Claudia
Ferri, Lorenzo
Gramegna, Laura Ludovica
Manners, David Neil
Rizzo, Giovanni
Remondini, Daniel
Castellani, Gastone
Naldi, Ilaria
Bisulli, Francesca
Tonon, Caterina
Tinuper, Paolo
Lodi, Raffaele
author_facet Evangelisti, Stefania
Testa, Claudia
Ferri, Lorenzo
Gramegna, Laura Ludovica
Manners, David Neil
Rizzo, Giovanni
Remondini, Daniel
Castellani, Gastone
Naldi, Ilaria
Bisulli, Francesca
Tonon, Caterina
Tinuper, Paolo
Lodi, Raffaele
author_sort Evangelisti, Stefania
collection PubMed
description OBJECTIVES: To evaluate functional connectivity (FC) in patients with sleep-related hypermotor epilepsy (SHE) compared to healthy controls. METHODS: Resting state fMRI was performed in 13 patients with a clinical diagnosis of SHE (age = 38.3 ± 11.8 years, 6 M) and 13 matched healthy controls (age = 38.5 ± 10.8 years, 6 M). Data were first analysed using probabilistic independent component analysis (ICA), then a graph theoretical approach was applied to assess topological and organizational properties at the whole brain level. We evaluated node degree (ND), betweenness centrality (BC), clustering coefficient (CC), local efficiency (LE) and global efficiency (GE). The differences between the two groups were evaluated non-parametrically. RESULTS: At the group level, we distinguished 16 RSNs (Resting State Networks). Patients showed a significantly higher FC in sensorimotor and thalamic regions (p < 0.05 corrected). Compared to controls, SHE patients showed no significant differences in network global efficiency, while ND and BC were higher in regions of the limbic system and lower in the occipital cortex, while CC and LE were higher in regions of basal ganglia and lower in limbic areas (p < 0.05 uncorrected). DISCUSSION AND CONCLUSIONS: The higher FC of the sensorimotor cortex and thalamus might be in agreement with the hypothesis of a peculiar excitability of the motor cortex during thalamic K-complexes. This sensorimotor-thalamic hyperconnection might be regarded as a consequence of an alteration of the arousal regulatory system in SHE. An altered topology has been found in structures like basal ganglia and limbic system, hypothesized to be involved in the pathophysiology of the disease as suggested by the dystonic-dyskinetic features and primitive behaviours observed during the seizures.
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spelling pubmed-58427492018-03-09 Brain functional connectivity in sleep-related hypermotor epilepsy Evangelisti, Stefania Testa, Claudia Ferri, Lorenzo Gramegna, Laura Ludovica Manners, David Neil Rizzo, Giovanni Remondini, Daniel Castellani, Gastone Naldi, Ilaria Bisulli, Francesca Tonon, Caterina Tinuper, Paolo Lodi, Raffaele Neuroimage Clin Regular Article OBJECTIVES: To evaluate functional connectivity (FC) in patients with sleep-related hypermotor epilepsy (SHE) compared to healthy controls. METHODS: Resting state fMRI was performed in 13 patients with a clinical diagnosis of SHE (age = 38.3 ± 11.8 years, 6 M) and 13 matched healthy controls (age = 38.5 ± 10.8 years, 6 M). Data were first analysed using probabilistic independent component analysis (ICA), then a graph theoretical approach was applied to assess topological and organizational properties at the whole brain level. We evaluated node degree (ND), betweenness centrality (BC), clustering coefficient (CC), local efficiency (LE) and global efficiency (GE). The differences between the two groups were evaluated non-parametrically. RESULTS: At the group level, we distinguished 16 RSNs (Resting State Networks). Patients showed a significantly higher FC in sensorimotor and thalamic regions (p < 0.05 corrected). Compared to controls, SHE patients showed no significant differences in network global efficiency, while ND and BC were higher in regions of the limbic system and lower in the occipital cortex, while CC and LE were higher in regions of basal ganglia and lower in limbic areas (p < 0.05 uncorrected). DISCUSSION AND CONCLUSIONS: The higher FC of the sensorimotor cortex and thalamus might be in agreement with the hypothesis of a peculiar excitability of the motor cortex during thalamic K-complexes. This sensorimotor-thalamic hyperconnection might be regarded as a consequence of an alteration of the arousal regulatory system in SHE. An altered topology has been found in structures like basal ganglia and limbic system, hypothesized to be involved in the pathophysiology of the disease as suggested by the dystonic-dyskinetic features and primitive behaviours observed during the seizures. Elsevier 2017-12-06 /pmc/articles/PMC5842749/ /pubmed/29527492 http://dx.doi.org/10.1016/j.nicl.2017.12.002 Text en © 2017 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
Evangelisti, Stefania
Testa, Claudia
Ferri, Lorenzo
Gramegna, Laura Ludovica
Manners, David Neil
Rizzo, Giovanni
Remondini, Daniel
Castellani, Gastone
Naldi, Ilaria
Bisulli, Francesca
Tonon, Caterina
Tinuper, Paolo
Lodi, Raffaele
Brain functional connectivity in sleep-related hypermotor epilepsy
title Brain functional connectivity in sleep-related hypermotor epilepsy
title_full Brain functional connectivity in sleep-related hypermotor epilepsy
title_fullStr Brain functional connectivity in sleep-related hypermotor epilepsy
title_full_unstemmed Brain functional connectivity in sleep-related hypermotor epilepsy
title_short Brain functional connectivity in sleep-related hypermotor epilepsy
title_sort brain functional connectivity in sleep-related hypermotor epilepsy
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5842749/
https://www.ncbi.nlm.nih.gov/pubmed/29527492
http://dx.doi.org/10.1016/j.nicl.2017.12.002
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