학술논문
Volumetric gray matter findings in autonomic network regions of people with focal epilepsy.
Document Type
Academic Journal
Author
Neuhaus E; Department of Epileptology, University Hospital Bonn, Bonn, Germany.; Department of Neurology, Epilepsy Center Frankfurt Rhine-Main, Goethe University Frankfurt, Frankfurt am Main, Germany.; Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany.; Institute of Neuroradiology, Goethe University Frankfurt, Frankfurt am Main, Germany.; Bitzer F; Department of Epileptology, University Hospital Bonn, Bonn, Germany.; Held NR; Department of Epileptology, University Hospital Bonn, Bonn, Germany.; Bauer T; Department of Epileptology, University Hospital Bonn, Bonn, Germany.; Gaubatz J; Department of Epileptology, University Hospital Bonn, Bonn, Germany.; von Wrede R; Department of Epileptology, University Hospital Bonn, Bonn, Germany.; Baumgartner T; Department of Epileptology, University Hospital Bonn, Bonn, Germany.; Rácz A; Department of Epileptology, University Hospital Bonn, Bonn, Germany.; Becker V; Department of Epileptology, University Hospital Bonn, Bonn, Germany.; Surges R; Department of Epileptology, University Hospital Bonn, Bonn, Germany.; Rüber T; Department of Epileptology, University Hospital Bonn, Bonn, Germany.
Source
Publisher: Wiley Country of Publication: United States NLM ID: 9102705 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-6569 (Electronic) Linking ISSN: 10512284 NLM ISO Abbreviation: J Neuroimaging Subsets: MEDLINE
Subject
Language
English
Abstract
Background and Purpose: Voxel-based morphometry (VBM) studies of people with focal epilepsies revealed gray matter (GM) alterations in brain regions involved in cardiorespiratory regulation, which have been linked to the risk of sudden unexpected death in epilepsy (SUDEP). It remains unclear whether the type and localization of epileptogenic lesions influence the occurrence of such alterations.
Methods: To test the hypothesis that VBM alterations of autonomic network regions are independent of epileptogenic lesions and that they reveal structural underpinnings of SUDEP risk, VBM was performed in 100 people with focal epilepsies without an epileptogenic lesion identifiable on MRI (mean age ± standard deviation = 35 ± 11 years, 56 female). The group was further stratified in high (sample size n = 29) and low risk of SUDEP (n = 71). GM volumes were compared between these two subgroups and to 100 matched controls.
Results: People with epilepsy displayed higher GM volume in both amygdalae and parahippocampal gyri and lower GM volume in the cerebellum and occipital (p<.05, familywise error corrected). There were no significant volumetric differences between high and low SUDEP risk subgroups.
Conclusion: Our findings confirm that autonomic networks are structurally altered in people with focal epilepsy and they question VBM as a suitable method to show structural correlates of the SUDEP risk score.
(© 2023 The Authors. Journal of Neuroimaging published by Wiley Periodicals LLC on behalf of American Society of Neuroimaging.)
Methods: To test the hypothesis that VBM alterations of autonomic network regions are independent of epileptogenic lesions and that they reveal structural underpinnings of SUDEP risk, VBM was performed in 100 people with focal epilepsies without an epileptogenic lesion identifiable on MRI (mean age ± standard deviation = 35 ± 11 years, 56 female). The group was further stratified in high (sample size n = 29) and low risk of SUDEP (n = 71). GM volumes were compared between these two subgroups and to 100 matched controls.
Results: People with epilepsy displayed higher GM volume in both amygdalae and parahippocampal gyri and lower GM volume in the cerebellum and occipital (p<.05, familywise error corrected). There were no significant volumetric differences between high and low SUDEP risk subgroups.
Conclusion: Our findings confirm that autonomic networks are structurally altered in people with focal epilepsy and they question VBM as a suitable method to show structural correlates of the SUDEP risk score.
(© 2023 The Authors. Journal of Neuroimaging published by Wiley Periodicals LLC on behalf of American Society of Neuroimaging.)