Volumetric gray matter findings in autonomic network regions of people with focal epilepsy

Author:

Neuhaus Elisabeth1234,Bitzer Felix1,Held Nina R.1,Bauer Tobias1,Gaubatz Jennifer1,von Wrede Randi1,Baumgartner Tobias1,Rácz Atilla1,Becker Vitali1,Surges Rainer1,Rüber Theodor1ORCID

Affiliation:

1. Department of Epileptology University Hospital Bonn Bonn Germany

2. Department of Neurology Epilepsy Center Frankfurt Rhine‐Main Goethe University Frankfurt Frankfurt am Main Germany

3. Center for Personalized Translational Epilepsy Research (CePTER) Goethe‐University Frankfurt Frankfurt am Main Germany

4. Institute of Neuroradiology Goethe University Frankfurt Frankfurt am Main Germany

Abstract

AbstractBackground and PurposeVoxel‐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.MethodsTo 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.ResultsPeople 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.ConclusionOur 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.

Publisher

Wiley

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging

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