Structural network alterations in focal and generalized epilepsy follow axes of epilepsy risk gene expression: An ENIGMA study

Lariviere, S.; Royer, J.; Rodriguez-Cruces, R.; Caligiuri, M. E.; Gambardella, A.; Concha, L.; Keller, S. S.; Cendes, F.; Yasuda, C. L.; Bonilha, L.; Gleichgerrcht, E.; Focke, N. K.; Domin, M.; von Podewills, F.; Langner, S.; Rummel, C.; Wiest, R.; Martin, P.; Kotikalapudi, R.; OBrien, T. J.; Sinclair, B.; Vivash, L.; Desmond, P. M.; Lui, E.; Vaudano, A. E.; Meletti, S.; Tondelli, M.; Alhusaini, S.; Doherty, C. P.; Cavalleri, G. L.; Delanty, N.; Kalviainen, R.; Jackson, G. D.; Kowalczyk, M.; Mascalchi, M.; Semmelroch, M.; Thomas, R. H.; Soltanian-Zadeh, H.; Davoodi-Bojd, E.; Zhang, J.; Kreilka

doi:10.1101/2021.10.18.464713

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bioRxiv · 10.1101/2021.10.18.464713

Structural network alterations in focal and generalized epilepsy follow axes of epilepsy risk gene expression: An ENIGMA study

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Abstract

Epilepsy is associated with genetic risk factors and cortico-subcortical network alterations, but associations between neurobiological mechanisms and macroscale connectomics remain unclear. This multisite ENIGMA-Epilepsy study examined whole-brain structural covariance networks in patients with epilepsy and related findings to postmortem co-expression patterns of epilepsy risk genes. Brain network analysis included 578 adults with temporal lobe epilepsy (TLE), 288 adults with idiopathic generalized epilepsy (IGE), and 1,328 healthy controls from 18 centres worldwide. Graph theoretical analysis of structural covariance networks revealed increased clustering and path length in orbitofrontal and temporal regions in TLE, suggesting a shift towards network regularization. Conversely, people with IGE showed decreased clustering and path length in fronto-temporo-parietal cortices, indicating a random network configuration. Syndrome-specific topological alterations reflected expression patterns of risk genes for hippocampal sclerosis in TLE and for generalized epilepsy in IGE. These imaging-genetic signatures could guide diagnosis, and ultimately, tailor therapeutic approaches to specific epilepsy syndromes.

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Lariviere, S., Royer, J., Rodriguez-Cruces, R., Caligiuri, M. E., Gambardella, A., Concha, L., Keller, S. S., Cendes, F., Yasuda, C. L., Bonilha, L., Gleichgerrcht, E., Focke, N. K., Domin, M., von Podewills, F., Langner, S., Rummel, C., Wiest, R., Martin, P., Kotikalapudi, R., OBrien, T. J., Sinclair, B., Vivash, L., Desmond, P. M., Lui, E., Vaudano, A. E., Meletti, S., Tondelli, M., Alhusaini, S., Doherty, C. P., Cavalleri, G. L., Delanty, N., Kalviainen, R., Jackson, G. D., Kowalczyk, M., Mascalchi, M., Semmelroch, M., Thomas, R. H., Soltanian-Zadeh, H., Davoodi-Bojd, E., Zhang, J., Kreilka. 2021-10-19. Structural network alterations in focal and generalized epilepsy follow axes of epilepsy risk gene expression: An ENIGMA study. https://doi.org/10.1101/2021.10.18.464713

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