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Multi-spectral diffusion MRI mega-analysis in genetic generalized epilepsy: Relation to outcomes
BACKGROUND AND OBJECTIVES: Genetic generalized epilepsy (GGE) is the most common form of generalized epilepsy. Although individual patients with GGE typically present without structural alterations, group differences have been demonstrated in GGE and some GGE subtypes like juvenile myoclonic epileps...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509527/ https://www.ncbi.nlm.nih.gov/pubmed/37441820 http://dx.doi.org/10.1016/j.nicl.2023.103474 |
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author | Kreilkamp, Barbara A.K. Stier, Christina Rauf, Erik H. Martin, Pascal Ethofer, Silke Lerche, Holger Kotikalapudi, Raviteja Marquetand, Justus Dechent, Peter Focke, Niels K. |
author_facet | Kreilkamp, Barbara A.K. Stier, Christina Rauf, Erik H. Martin, Pascal Ethofer, Silke Lerche, Holger Kotikalapudi, Raviteja Marquetand, Justus Dechent, Peter Focke, Niels K. |
author_sort | Kreilkamp, Barbara A.K. |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: Genetic generalized epilepsy (GGE) is the most common form of generalized epilepsy. Although individual patients with GGE typically present without structural alterations, group differences have been demonstrated in GGE and some GGE subtypes like juvenile myoclonic epilepsy (GGE-JME). Previous studies usually involved only small cohorts from single centers and therefore could not assess imaging markers of multiple GGE subtypes. METHODS: We performed a diffusion MRI mega-analysis in 192 participants consisting of 126 controls and 66 patients with GGE from four different cohorts and two different epilepsy centers. We applied whole-brain multi-site harmonization and analyzed fractional anisotropy (FA), as well as mean, radial and axial diffusivity (MD/RD/AD) to assess differences between controls, patients with GGE and the common GGE subtypes, i.e. GGE with generalized tonic-clonic seizures only (GGE-GTCS), GGE-JME and absence epilepsy (GGE-AE). We also analyzed relationships with patients' response to anti-seizure-medication (ASM). RESULTS: Relative to controls, we identified decreased anisotropy and increased RD in patients with GGE. We found no significant effects of disease duration, age of onset or seizure frequency on diffusion metrics. Patients with JME had increased MD and RD when compared to controls, while patients with GGE-GTCS showed decreased MD/AD when compared to controls. Compared to patients with GGE-AE, patients with GGE-GTCS had lower AD/MD. Compared to patients with GGE-GTCS, patients with GGE-JME had higher MD/RD and AD. Moreover, we found lower FA in patients with refractory when compared to patients with non-refractory GGE in the right cortico-spinal tract, but no significant differences in patients with active versus controlled epilepsy. DISCUSSION: We provide evidence that clinically defined GGE as a whole and GGE-subtypes harbor marked microstructural differences detectable with diffusion MRI. Moreover, we found an association between microstructural changes and treatment resistance. Our findings have important implications for future full-resolution multi-site studies when assessing GGE, its subtypes and ASM refractoriness. |
format | Online Article Text |
id | pubmed-10509527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105095272023-09-21 Multi-spectral diffusion MRI mega-analysis in genetic generalized epilepsy: Relation to outcomes Kreilkamp, Barbara A.K. Stier, Christina Rauf, Erik H. Martin, Pascal Ethofer, Silke Lerche, Holger Kotikalapudi, Raviteja Marquetand, Justus Dechent, Peter Focke, Niels K. Neuroimage Clin Regular Article BACKGROUND AND OBJECTIVES: Genetic generalized epilepsy (GGE) is the most common form of generalized epilepsy. Although individual patients with GGE typically present without structural alterations, group differences have been demonstrated in GGE and some GGE subtypes like juvenile myoclonic epilepsy (GGE-JME). Previous studies usually involved only small cohorts from single centers and therefore could not assess imaging markers of multiple GGE subtypes. METHODS: We performed a diffusion MRI mega-analysis in 192 participants consisting of 126 controls and 66 patients with GGE from four different cohorts and two different epilepsy centers. We applied whole-brain multi-site harmonization and analyzed fractional anisotropy (FA), as well as mean, radial and axial diffusivity (MD/RD/AD) to assess differences between controls, patients with GGE and the common GGE subtypes, i.e. GGE with generalized tonic-clonic seizures only (GGE-GTCS), GGE-JME and absence epilepsy (GGE-AE). We also analyzed relationships with patients' response to anti-seizure-medication (ASM). RESULTS: Relative to controls, we identified decreased anisotropy and increased RD in patients with GGE. We found no significant effects of disease duration, age of onset or seizure frequency on diffusion metrics. Patients with JME had increased MD and RD when compared to controls, while patients with GGE-GTCS showed decreased MD/AD when compared to controls. Compared to patients with GGE-AE, patients with GGE-GTCS had lower AD/MD. Compared to patients with GGE-GTCS, patients with GGE-JME had higher MD/RD and AD. Moreover, we found lower FA in patients with refractory when compared to patients with non-refractory GGE in the right cortico-spinal tract, but no significant differences in patients with active versus controlled epilepsy. DISCUSSION: We provide evidence that clinically defined GGE as a whole and GGE-subtypes harbor marked microstructural differences detectable with diffusion MRI. Moreover, we found an association between microstructural changes and treatment resistance. Our findings have important implications for future full-resolution multi-site studies when assessing GGE, its subtypes and ASM refractoriness. Elsevier 2023-07-08 /pmc/articles/PMC10509527/ /pubmed/37441820 http://dx.doi.org/10.1016/j.nicl.2023.103474 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Regular Article Kreilkamp, Barbara A.K. Stier, Christina Rauf, Erik H. Martin, Pascal Ethofer, Silke Lerche, Holger Kotikalapudi, Raviteja Marquetand, Justus Dechent, Peter Focke, Niels K. Multi-spectral diffusion MRI mega-analysis in genetic generalized epilepsy: Relation to outcomes |
title | Multi-spectral diffusion MRI mega-analysis in genetic generalized epilepsy: Relation to outcomes |
title_full | Multi-spectral diffusion MRI mega-analysis in genetic generalized epilepsy: Relation to outcomes |
title_fullStr | Multi-spectral diffusion MRI mega-analysis in genetic generalized epilepsy: Relation to outcomes |
title_full_unstemmed | Multi-spectral diffusion MRI mega-analysis in genetic generalized epilepsy: Relation to outcomes |
title_short | Multi-spectral diffusion MRI mega-analysis in genetic generalized epilepsy: Relation to outcomes |
title_sort | multi-spectral diffusion mri mega-analysis in genetic generalized epilepsy: relation to outcomes |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509527/ https://www.ncbi.nlm.nih.gov/pubmed/37441820 http://dx.doi.org/10.1016/j.nicl.2023.103474 |
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