Publications

Carteaux, G., Maquart, M., Bedet, A., Contou, D., Brugières, P., Fourati, S., Cleret de Langavant, L., De Broucker, T., Brun-Buisson, C., Leparc-Goffart, I. & Mekontso Dessap, A. (2016). Zika Virus Associated with Meningoencephalitis. The New England journal of medicine, 374(16), 1595-6. doi:10.1056/NEJMc1602964

Jacquemot, C. & Scott, S. (2006). What is the relationship between phonological short-term memory and speech processing? Trends in cognitive sciences, 10(11), 480-6. doi:10.1016/j.tics.2006.09.002

Bachoud-Levi, A. (2022). What did we learn from neural grafts in Huntington disease? , 178(5), 441-449. doi:10.1016/j.neurol.2022.03.004

Fenelon, G., Parant, J. & Cleret de Langavant, L. (2021). Victor Parant (1848–1924) and the first report of psychosis in the course of Parkinson's disease with dementia. Revue Neurologique. doi:10.1016/j.neurol.2021.03.004

García-Lorenzo, D., Lavisse, S., Leroy, C., Wimberley, C., Bodini, B., Remy, P., Veronese, M., Stankoff, B. & Bottaender , M. (2018). Validation of an automatic reference region extraction for the quantification of [18F]DPA-714 in dynamic brain PET studies. J Cerebr Blood Flow Metab , 38(2), 333-346. doi:10.1177/0271678X17692599

Cleret de Langavant, L., Bayen , E., Bachoud-Levi, A. & Yaffe , K. (2019). Unsupervised machine-learning for tracking high likelihood of dementia in 9 population-based surveys: a novel method to determine global dementia prevalence. Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 15(7), 901. doi:10.2196/10493

Cleret de Langavant, L., Bayen , E. & Yaffe , K. (2018). Unsupervised machine learning to identify high likelihood of dementia in population-based surveys. J Med Internet Res, 20(7), e10493. doi:10.2196/10493

Leissing-Desprez, C., Thomas, E., Segaux, L., Broussier, A., Oubaya, N., Marie-Nelly, N., Laurent, M., Cleret de Langavant, L., Fromentin, I., David, J. & Bastuji-Garin, S. (2020). Understated Cognitive Impairment Assessed with the Clock-Drawing Test in Community-Dwelling Individuals Aged ≥50 Years. Journal of the American Medical Directors Association, 21(11), 1658-1664. doi:10.1016/j.jamda.2020.03.016

Lemoine, L., Lunven, M., Fraisse, N., Youssov, K., Bapst, B. , Morgado, G., Reilmann, R., Busse, M., Craufurd, D., Rosser, A., de Gardelle, V. & Bachoud-Levi, A. (2023). The striatum in time production: The model of Huntington's disease in longitudinal study. Neuropsychologia, 179, 108459. doi:10.1016/j.neuropsychologia.2022.108459

Lemoine, L., Lunven, M., Bapst, B. , Cleret de Langavant, L., de Gardelle, V. & Bachoud-Levi, A. (2021). The specific role of the striatum in interval timing: The Huntington’s disease model. NeuroImage: Clinical, 32, 102865. doi:10.1016/j.nicl.2021.102865

Cleret de Langavant, L., Jacquemot, C., Bachoud-Levi, A. & Dupoux, E. (2013). The second person in "I"-"you"-"it" triadic interactions. The Behavioral and brain sciences, 36(4), 416-7. doi:10.1017/S0140525X12001860

Giavazzi, M., Daland, R., Palminteri, S., Peperkamp, S., Brugières, P., Jacquemot, C., Schramm, C., Cleret de Langavant, L. & Bachoud-Levi, A. (2018 ). The role of the striatum in linguistic selection: Evidence from Huntington’s disease and computational modeling. Cortex, 109, 189-204. doi:10.1016/j.cortex.2018.08.031

Soulas, T., Cleret de Langavant, L., Monod, V. & Fenelon, G. (2016). The prevalence and characteristics of hallucinations, delusions and minor phenomena in a non-demented population sample aged 60 years and over. . International journal of geriatric psychiatry, 31(12), 1322-1328. doi:10.1002/gps.4437

Fenelon, G. & Walusinski, O. (2021). The landmark contributions of Paul Blocq, Georges Marinesco, and Édouard Brissaud in Parkinson's disease. Revue Neurologique, 177(10), 1214-1220. doi:10.1016/j.neurol.2021.02.386

Reinhard, C., Bachoud-Levi, A., Bäumer, T., Bertini, E., Brunelle, A., Buizer, A., Federico, A., Gasser, T., Groeschel, S., Hermanns, S., Klockgether, T., Krägeloh-Mann, I., Landwehrmeyer, G., Leber, I., Macaya, A., Mariotti, C., Meissner, W., Molnar, M. , Nonnekes, J., Ortigoza Escobar, J. , Pérez Dueñas, B., Renna Linton, L., Schöls, L., Schuele, R., Tijssen, M., Vandenberghe, R., Volkmer, A., Wolf, N. & Graessner, H. (2021). The European Reference Network for Rare Neurological Diseases. Frontiers in Neurology, 11. doi:10.3389/fneur.2020.616569

Bayen , E., Yaffe , K., Cleret de Langavant, L., Chen, Y. & Possin, K. (2021). The direct health care cost to Medicare of Down syndrome dementia as compared with Alzheimer's disease among 2015 Californian beneficiaries. Annals of Physical and Rehabilitation Medicine, 64(1), 101430. doi:10.1016/j.rehab.2020.07.011

Youssov, K., Audureau, E., Vandendriessche, H., Morgado, G., Layese, R., Goizet, C., Verny, C., Bourhis, M. & Bachoud-Levi, A. (2022). The burden of Huntington's disease: A prospective longitudinal study of patient/caregiver pairs. Parkinsonism & related disorders, 103, 77-84. doi:10.1016/j.parkreldis.2022.08.023

Denève, S., Alemi, A. & Bourdoukan, R. (2017). The Brain as an Efficient and Robust Adaptive Learner. Neuron, 94(5), 969-977. doi:10.1016/j.neuron.2017.05.016

Maex, R. & Gutkin, B. (2017). Temporal integration and 1/f power scaling in a circuit model of cerebellar interneurons. Journal of neurophysiology, 118(1), 471-485. doi:10.1152/jn.00789.2016

Bouchacourt, F., Palminteri, S., Koechlin, E. & Ostojic, S. (2020). Temporal Chunking as a Mechanism for Unsupervised Learning of Task-Sets. eLife, 9, e50469. doi:10.7554/eLife.50469

Nou-Fontanet, L., Martín-Gómez, C., Isabel-Gómez, R., Bachoud-Levi, A., Zorzi, G., Capuano, A., Disorders Guideline Working Group, N., Antonio Blasco-Amaro, J. & Darío Ortigoza-Escobar, J. (2023). Systematic review of drug therapy for chorea in NXK2-1-related disorders: Efficacy and safety evidence from case studies and series. European journal of neurology, . doi:10.1111/ene.16038

Zakharov, D., Lapish, C., Gutkin, B. & Kuznetsov, A. (2016). Synergy of AMPA and NMDA Receptor Currents in Dopaminergic Neurons: A Modeling Study. Frontiers in computational neuroscience, 10, 48. doi:10.3389/fncom.2016.00048

Fenelon, G., Blanc, F., Mouton , A. & David, A. (2019). Symptômes visuels et maladies neurodégénératives. À quoi faut-il penser ? French Journal of Psychiatry , 1 , S48. doi:10.1016/j.fjpsy.2019.10.137

Faugeras, F., Rohaut, B., Valente, M., Sitt, J., Demeret , S., Bolgert , F., Weiss , N., Grinea , A., Marois , C., Quirins , M., Demertzi , A., Raimondo , F., Galanaud , D., Habert , M., Engemann , D., Puybasset , L. & Naccache, L. (2017). Survival and consciousness recovery are better in the minimally conscious state than in the vegetative state. Brain Inj, 32(1), 72-77. doi:10.1080/02699052.2017

Giavazzi, M., Sambin, S., De Diego-Balaguer, R., Le Stanc, L., Bachoud-Levi, A. & Jacquemot, C. (2018). Structural priming in sentence comprehension: A single prime is enough. PloS one, 13(4), e0194959. doi:10.1371/journal.pone.0194959

Giavazzi, M., Sambin, S., De Diego-Balaguer, R., Le Stanc, L., Bachoud-Levi, A. & Jacquemot, C. (2018). Structural priming in sentence comprehension: A single prime is enough. PLoS ONE, 13(4), e0194959. doi:10.1371/ journal.pone.0194959

Jacquemot, C. & Bachoud-Levi, A. (2021). Striatum and language processing: Where do we stand? Cognition, 213, 104785. doi:10.1016/j.cognition.2021.104785

Pini, L., Sambatoro, F., Youssov, K., Bachoud-Levi, A., Vallesi, A. & Jacquemot, C. (2020). Striatal connectivity in premanifest Huntington disease is differentially affected by disease burden. European Journal of Neurology, 27(11), 2147-2157. doi:10.1111/ene.14423

Lazarevich, I. , Prokin, I., Gutkin, B. & Kazantsev, V. (2023). Spikebench: An open benchmark for spike train time-series classification. PLoS computational biology, 19(1), e1010792. doi:10.1371/journal.pcbi.1010792

Muller, L., Brette, R. & Gutkin, B. (2011). Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Frontiers in Computational Neuroscience, 15(5), 45. doi:10.3389/fncom.2011.00045