Globally altered microstructural properties and network topology in Rasmussen’s encephalitis

Author:

Held Nina R1,Bauer Tobias1ORCID,Reiter Johannes T1,Hoppe Christian1,Keil Vera C W2345,Radbruch Alexander2,Helmstaedter Christoph1,Surges Rainer1,Rüber Theodor1ORCID

Affiliation:

1. Department of Epileptology, University Hospital Bonn , 53127 Bonn , Germany

2. Department of Neuroradiology, University Hospital Bonn , 53127 Bonn , Germany

3. Department of Radiology and Nuclear Medicine, Amsterdam UMC Location Vrije Universiteit Amsterdam , 1081 HV Amsterdam , Netherlands

4. Amsterdam Neuroscience, Brain Imaging , Amsterdam UMC, 1081 HV Amsterdam , Netherlands

5. Cancer Center Amsterdam, Brain Tumor Center Amsterdam , Amsterdam UMC, 1081 HV Amsterdam , Netherlands

Abstract

Abstract Rasmussen’s encephalitis is an immune-mediated brain disorder characterised by progressive unilateral cerebral atrophy, neuroinflammation, drug-resistant seizures and cognitive decline. However, volumetric changes and epileptiform EEG activity were also observed in the contralateral hemisphere, raising questions about the aetiology of contralateral involvement. In this study, we aim to investigate alterations of white matter integrity, structural network topology and network efficiency in Rasmussen’s encephalitis using diffusion-tensor imaging. Fourteen individuals with Rasmussen’s encephalitis (11 female, median onset 6 years, range 4–22, median disease duration at MRI 5 years, range 0–42) and 20 healthy control subjects were included. All subjects underwent T1-weighted structural and diffusion-tensor imaging. Diffusion-tensor images were analysed using the fixel-based analysis framework included in the MRtrix3 toolbox. Fibre density and cross-section served as a quantitative measure for microstructural white matter integrity. T1-weighted structural images were processed using FreeSurfer, subcortical segmentations and cortical parcellations using the Desikan-Killiany atlas served as nodes in a structural network model, edge weights were determined based on streamline count between pairs of nodes and compared using network-based statistics. Global efficiency was used to quantify network integration on an intrahemispheric level. All metrics were compared cross-sectionally between individuals with Rasmussen’s encephalitis and healthy control subjects using sex and age as regressors and within the Rasmussen’s encephalitis group using linear regression including age at onset and disease duration as independent variables. Relative to healthy control subjects, individuals with Rasmussen’s encephalitis showed significantly (family-wise-error-corrected P < 0.05) lower fibre density and cross-section as well as edge weights in intrahemispheric connections within the ipsilesional hemisphere and in interhemispheric connections. Lower edge weights were noted in the contralesional hemisphere and in interhemispheric connections, with the latter being mainly affected within the first 2 years after disease onset. With longer disease duration, fibre density and cross-section significantly (uncorrected P < 0.01) decreased in both hemispheres. In the contralesional corticospinal tract, fibre density and cross-section significantly (uncorrected P < 0.01) increased with disease duration. Intrahemispheric edge weights (uncorrected P < 0.01) and global efficiency significantly increased with disease duration in both hemispheres (ipsilesional r = 0.74, P = 0.001; contralesional r = 0.67, P = 0.012). Early disease onset was significantly (uncorrected P < 0.01) negatively correlated with lower fibre density and cross-section bilaterally. Our results show that the disease process of Rasmussen’s encephalitis is not limited to the cortex of the lesioned hemisphere but should be regarded as a network disease affecting white matter across the entire brain and causing degenerative as well as compensatory changes on a network level.

Funder

BONFOR

Medical Faculty of the University of Bonn

Publisher

Oxford University Press (OUP)

Subject

Neurology,Cellular and Molecular Neuroscience,Biological Psychiatry,Psychiatry and Mental health

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