 | Louisiane Lemaire, PhD Postdoc phone: +49-(0)30-2093-98414 email: louisiane.lemaire  hu-berlin.de |
BIOGRAPHY
I am interested in modeling the feedback effect of spike-induced changes in ionic concentration (in particular extracellular potassium) on neuronal activity.
I did my PhD at the Inria Sophia Antipolis - Méditerranée Research Centre (France), with Mathieu Desroches and Martin Krupa. There, I investigated how mutations of the NaV1.1 sodium channel can lead to the initiation of either cortical spreading depression (CSD) or seizures, in a two-neuron conductance-based model with dynamic ion concentrations.
I am now working on incorporating potassium dynamics in a model based on the QIF neuron. We optimize this slow-fast model so that it captures the dynamics of a more detailed model while remaining much simpler, with a view to using it in a network.
PUBLICATIONS
Lemaire, L., Desroches, M., Krupa, M., Pizzamiglio, L., Scalmani, P., & Mantegazza, M. (2021). Modeling NaV1.1/SCN1A sodium channel mutations in a microcircuit with realistic ion concentration dynamics suggests differential GABAergic mechanisms leading to hyperexcitability in epilepsy and hemiplegic migraine. PLoS Computational Biology, 17(7), e1009239. https://doi.org/10.1371/journal.pcbi.1009239
Chever, O., Zerimech, S., Scalmani, P., Lemaire, L., Pizzamiglio, L., Loucif, A., … & Mantegazza, M. (2021). Initiation of migraine-related cortical spreading depolarization by hyperactivity of GABAergic neurons and NaV1.1 channels. The Journal of clinical investigation, 131(21). https://doi.org/10.1172/JCI142203
Carroll, E. L., Alderman, R., Bannister, J. L., Bérubé, M., Best, P. B., Boren, L., Baker, C. S., Constantine, R., Findlay K., Harcourt, R., Lemaire, L., … & Gaggiotti, O. E. (2019). Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species. Heredity, 122(1), 53-68. https://doi.org/10.1038/s41437-018-0077-y
Lemaire, L., Jay, F., Lee, I., Csilléry, K., & Blum, M. G. (2016). Goodness-of-fit statistics for approximate Bayesian computation. arXiv preprint arXiv:1601.04096. https://doi.org/10.48550/arXiv.1601.04096
