Combined electrophysiological and morphological phenotypes in patients with genetic generalized epilepsy and their healthy siblings.

Stier, Christina; Loose, Markus; Kotikalapudi, Raviteja; Elshahabi, Adham; Li Hegner, Yiwen; Marquetand, Justus; Braun, Christoph; Lerche, Holger; Focke, Niels K (2022). Combined electrophysiological and morphological phenotypes in patients with genetic generalized epilepsy and their healthy siblings. (In Press). Epilepsia Wiley 10.1111/epi.17258

[img] Text
Epilepsia_-_2022_-_Stier_-_Combined_electrophysiological_and_morphological_phenotypes_in_patients_with_genetic_generalized.pdf - Accepted Version
Restricted to registered users only until 14 April 2023.
Available under License Publisher holds Copyright.

Download (53MB) | Request a copy

OBJECTIVE

Genetic generalized epilepsy is characterized by aberrant neuronal dynamics and subtle structural alterations. We evaluated whether a combination of magnetic and electrical neuronal signals and cortical thickness would provide complementary information about network pathology in GGE. We also investigated if these imaging phenotypes were present in healthy siblings of the patients to test for genetic influence.

METHODS

In this cross-sectional study, we analyzed five minutes of resting-state data acquired using electroencephalography (EEG) and magnetoencephalography (MEG) in patients, their siblings, and controls, matched for age and sex. We computed source-reconstructed power and connectivity in six frequency bands (1-40 Hz) and cortical thickness (derived from magnetic resonance imaging (MRI)). Group differences were assessed using permutation analysis of linear models for each modality separately and jointly for all modalities using a non-parametric combination.

RESULTS

Patients with GGE (n = 23) had higher power than controls (n = 35) in all frequencies, with a more posterior focus in MEG than EEG. Connectivity was also increased, particularly in frontotemporal and central regions in theta (strongest in EEG) and low beta frequencies (strongest in MEG), which was eminent in the joint EEG/MEG analysis. EEG showed weaker connectivity differences in higher frequencies, possibly related to drug effects. The inclusion of cortical thickness reinforced group differences in connectivity and power. Siblings (n = 18) had functional and structural patterns intermediate between those of patients and controls.

SIGNIFICANCE

EEG detected increased connectivity and power in GGE similar to MEG, but with different spectral sensitivity, highlighting the importance of theta and beta oscillations. Cortical thickness reductions in GGE corresponded to functional imaging patterns. Our multimodal approach extends the understanding of the resting-state in GGE and points to genetic underpinnings of the imaging markers studied, providing new insights into the causes and consequences of epilepsy.

Item Type:

Journal Article (Original Article)

Division/Institute:

07 Faculty of Human Sciences > Institute of Psychology > PSY-Weitere Forschungsgruppen

UniBE Contributor:

Kotikalapudi, Raviteja

ISSN:

1528-1167

Publisher:

Wiley

Language:

English

Submitter:

Pubmed Import

Date Deposited:

14 Apr 2022 09:25

Last Modified:

14 Apr 2022 09:33

Publisher DOI:

10.1111/epi.17258

PubMed ID:

35416282

Uncontrolled Keywords:

Resting-state cortical thickness endophenotypes interictal oscillations

BORIS DOI:

10.48350/169304

URI:

https://boris.unibe.ch/id/eprint/169304

Actions (login required)

Edit item Edit item
Provide Feedback