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学術論文

Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy

MPS-Authors
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Kong,  Xiangzhen
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Zhejiang University;

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Francks,  Clyde
Imaging Genomics, MPI for Psycholinguistics, Max Planck Society;
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

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Fisher,  Simon E.
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

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awab417_supplementary_data.pdf
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引用

Park, B.-y., Larivière, S., Rodríguez-Cruces, R., Royer, J., Tavakol, S., Wang, Y., Caciagli, L., Caligiuri, M. E., Gambardella, A., Concha, L., Keller, S. S., Cendes, F., Alvim, M. K. M., Yasuda, C., Bonilha, L., Gleichgerrcht, E., Focke, N. K., Kreilkamp, B. A. K., Domin, M., Von Podewils, F., Langner, S., Rummel, C., Rebsamen, M., Wiest, R., Martin, P., Kotikalapudi, R., Bender, B., O’Brien, T. J., Law, M., Sinclair, B., Vivash, L., Desmond, P. M., Malpas, C. B., Lui, E., Alhusaini, S., Doherty, C. P., Cavalleri, G. L., Delanty, N., Kälviäinen, R., Jackson, G. D., Kowalczyk, M., Mascalchi, M., Semmelroch, M., Thomas, R. H., Soltanian-Zadeh, H., Davoodi-Bojd, E., Zhang, J., Lenge, M., Guerrini, R., Bartolini, E., Hamandi, K., Foley, S., Weber, B., Depondt, C., Absil, J., Carr, S. J. A., Abela, E., Richardson, M. P., Devinsky, O., Severino, M., Striano, P., Parodi, C., Tortora, D., Hatton, S. N., Vos, S. B., Duncan, J. S., Galovic, M., Whelan, C. D., Bargalló, N., Pariente, J., Conde, E., Vaudano, A. E., Tondelli, M., Meletti, S., Kong, X., Francks, C., Fisher, S. E., Caldairou, B., Ryten, M., Labate, A., Sisodiya, S. M., Thompson, P. M., McDonald, C. R., Bernasconi, A., Bernasconi, N., & Bernhardt, B. C. (2022). Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy. Brain, 145(4), 1285-1298. doi:10.1093/brain/awab417.


引用: https://hdl.handle.net/21.11116/0000-0008-8891-A
要旨
Temporal lobe epilepsy (TLE), a common drug-resistant epilepsy in adults, is primarily a limbic network disorder associated with predominant unilateral hippocampal pathology. Structural MRI has provided an in vivo window into whole-brain grey matter structural alterations in TLE relative to controls, by either mapping (i) atypical inter-hemispheric asymmetry or (ii) regional atrophy. However, similarities and differences of both atypical asymmetry and regional atrophy measures have not been systematically investigated.

Here, we addressed this gap using the multi-site ENIGMA-Epilepsy dataset comprising MRI brain morphological measures in 732 TLE patients and 1,418 healthy controls. We compared spatial distributions of grey matter asymmetry and atrophy in TLE, contextualized their topographies relative to spatial gradients in cortical microstructure and functional connectivity calculated using 207 healthy controls obtained from Human Connectome Project and an independent dataset containing 23 TLE patients and 53 healthy controls, and examined clinical associations using machine learning.

We identified a marked divergence in the spatial distribution of atypical inter-hemispheric asymmetry and regional atrophy mapping. The former revealed a temporo-limbic disease signature while the latter showed diffuse and bilateral patterns. Our findings were robust across individual sites and patients. Cortical atrophy was significantly correlated with disease duration and age at seizure onset, while degrees of asymmetry did not show a significant relationship to these clinical variables.

Our findings highlight that the mapping of atypical inter-hemispheric asymmetry and regional atrophy tap into two complementary aspects of TLE-related pathology, with the former revealing primary substrates in ipsilateral limbic circuits and the latter capturing bilateral disease effects. These findings refine our notion of the neuropathology of TLE and may inform future discovery and validation of complementary MRI biomarkers in TLE.