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Retrosplenial Cortex Contributes to Network Changes during Seizures in the GAERS Absence Epilepsy Rat Model

Resting state-fMRI was performed to explore brain networks in Genetic Absence Epilepsy Rats from Strasbourg and in nonepileptic controls (NEC) during monitoring of the brain state by simultaneous optical Ca(2+)-recordings. Graph theoretical analysis allowed for the identification of acute and chroni...

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Autores principales: Wachsmuth, Lydia, Datunashvili, Maia, Kemper, Katharina, Albers, Franziska, Lambers, Henriette, Lüttjohann, Annika, Kreitz, Silke, Budde, Thomas, Faber, Cornelius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263073/
https://www.ncbi.nlm.nih.gov/pubmed/34296168
http://dx.doi.org/10.1093/texcom/tgab023
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author Wachsmuth, Lydia
Datunashvili, Maia
Kemper, Katharina
Albers, Franziska
Lambers, Henriette
Lüttjohann, Annika
Kreitz, Silke
Budde, Thomas
Faber, Cornelius
author_facet Wachsmuth, Lydia
Datunashvili, Maia
Kemper, Katharina
Albers, Franziska
Lambers, Henriette
Lüttjohann, Annika
Kreitz, Silke
Budde, Thomas
Faber, Cornelius
author_sort Wachsmuth, Lydia
collection PubMed
description Resting state-fMRI was performed to explore brain networks in Genetic Absence Epilepsy Rats from Strasbourg and in nonepileptic controls (NEC) during monitoring of the brain state by simultaneous optical Ca(2+)-recordings. Graph theoretical analysis allowed for the identification of acute and chronic network changes and revealed preserved small world topology before and after seizure onset. The most prominent acute change in network organization during seizures was the segregation of cortical regions from the remaining brain. Stronger connections between thalamic with limbic regions compared with preseizure state indicated network regularization during seizures. When comparing between strains, intrathalamic connections were prominent in NEC, on local level represented by higher thalamic strengths and hub scores. Subtle differences were observed for retrosplenial cortex (RS), forming more connections beyond cortex in epileptic rats, and showing a tendency to lateralization during seizures. A potential role of RS as hub between subcortical and cortical regions in epilepsy was supported by increased numbers of parvalbumin-positive (PV+) interneurons together with enhanced inhibitory synaptic activity and neuronal excitability in pyramidal neurons. By combining multimodal fMRI data, graph theoretical methods, and electrophysiological recordings, we identified the RS as promising target for modulation of seizure activity and/or comorbidities.
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spelling pubmed-82630732021-07-21 Retrosplenial Cortex Contributes to Network Changes during Seizures in the GAERS Absence Epilepsy Rat Model Wachsmuth, Lydia Datunashvili, Maia Kemper, Katharina Albers, Franziska Lambers, Henriette Lüttjohann, Annika Kreitz, Silke Budde, Thomas Faber, Cornelius Cereb Cortex Commun Original Article Resting state-fMRI was performed to explore brain networks in Genetic Absence Epilepsy Rats from Strasbourg and in nonepileptic controls (NEC) during monitoring of the brain state by simultaneous optical Ca(2+)-recordings. Graph theoretical analysis allowed for the identification of acute and chronic network changes and revealed preserved small world topology before and after seizure onset. The most prominent acute change in network organization during seizures was the segregation of cortical regions from the remaining brain. Stronger connections between thalamic with limbic regions compared with preseizure state indicated network regularization during seizures. When comparing between strains, intrathalamic connections were prominent in NEC, on local level represented by higher thalamic strengths and hub scores. Subtle differences were observed for retrosplenial cortex (RS), forming more connections beyond cortex in epileptic rats, and showing a tendency to lateralization during seizures. A potential role of RS as hub between subcortical and cortical regions in epilepsy was supported by increased numbers of parvalbumin-positive (PV+) interneurons together with enhanced inhibitory synaptic activity and neuronal excitability in pyramidal neurons. By combining multimodal fMRI data, graph theoretical methods, and electrophysiological recordings, we identified the RS as promising target for modulation of seizure activity and/or comorbidities. Oxford University Press 2021-03-23 /pmc/articles/PMC8263073/ /pubmed/34296168 http://dx.doi.org/10.1093/texcom/tgab023 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Wachsmuth, Lydia
Datunashvili, Maia
Kemper, Katharina
Albers, Franziska
Lambers, Henriette
Lüttjohann, Annika
Kreitz, Silke
Budde, Thomas
Faber, Cornelius
Retrosplenial Cortex Contributes to Network Changes during Seizures in the GAERS Absence Epilepsy Rat Model
title Retrosplenial Cortex Contributes to Network Changes during Seizures in the GAERS Absence Epilepsy Rat Model
title_full Retrosplenial Cortex Contributes to Network Changes during Seizures in the GAERS Absence Epilepsy Rat Model
title_fullStr Retrosplenial Cortex Contributes to Network Changes during Seizures in the GAERS Absence Epilepsy Rat Model
title_full_unstemmed Retrosplenial Cortex Contributes to Network Changes during Seizures in the GAERS Absence Epilepsy Rat Model
title_short Retrosplenial Cortex Contributes to Network Changes during Seizures in the GAERS Absence Epilepsy Rat Model
title_sort retrosplenial cortex contributes to network changes during seizures in the gaers absence epilepsy rat model
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263073/
https://www.ncbi.nlm.nih.gov/pubmed/34296168
http://dx.doi.org/10.1093/texcom/tgab023
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