Johanna Trouet

Interpretable Machine Learning for Cross-Cohort Prediction of Motor Fluctuations in Parkinson's Disease

Krüger, R., Acharya, G., Aguayo, G., Alexandre, M., Batutu, R., Beaumont, K., Béchet, S., Berchem, G., Boussaad, I., Contesotto, G., Ferrari, A., Fritz, J., Gamio, C., Gantenbein, M., Georges, L., Giraitis, M., Graas, J., Hanff, A. M., Henry, E. & Henry, M. & 40 others, Hundt, A., Jónsdóttir, S., Klucken, J., Kofanova, O., Lambert, P., Landoulsi, Z., Lopes, A. F., Lorentz, V., Marques, T. M., Marques, G., Mcintyre, D., Mediouni, C., Mendibide, A., Menster, M., Mittelbronn, M., Mtimet, S., Munsch, M., Nehrbass, U., Nickels, S., Noor, F., Pauly, C., Pauly, L., Pavelka, L., Perquin, M., Pexaras, A., Rauschenberger, A., Remark, L., Richard, I., Roland, O., Sapienza, S., Sharify, A., Sokolowska, K., Theresine, M., Thien, H., Trouet, J., Tsurkalenko, O., Vaillant, M., Vega, C., Zelimkhanov, G. & the NCER-PD Consortium, Aug 2025, In: Movement Disorders. 40, 8, p. 1604-1617 14 p.

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Open Access

1 Citation (Scopus)

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease

Pavelka, L., Zelimkhanov, G., Vega, C., Vaillant, M., Tsurkalenko, O., Trouet, J., Thien, H., Theresine, M., Sokolowska, K., Sharify, A., Sapienza, S., Roland, O., Richard, I., Remark, L., Rauschenberger, A., Pexaras, A., Perquin, M., Pauly, L., Pauly, C. & Noor, F. & 43 others, Nickels, S., Nehrbass, U., Munsch, M., Mtimet, S., Mittelbronn, M., Menster, M., Mendibide, A., Mediouni, C., Mcintyre, D., Marques, G., Marques, T. M., Lorentz, V., Landoulsi, Z., Lambert, P., Krüger, R., Kofanova, O., Klucken, J., Jónsdóttir, S., Hundt, A., Henry, M., Henry, E., Hanff, A. M., Graas, J., Giraitis, M., Georges, L., Gantenbein, M., Gamio, C., Fritz, J., Lopes, A. F., Ferrari, A., De Bremaeker, N., Contesotto, G., Bouvier, D., Boussaad, I., Berchem, G., Béchet, S., Beaumont, K., Batutu, R., Alexandre, M., Aguayo, G., Acharya, G., NCER-PD Consortium & the ICEBERG study group, 26 Jul 2025, In: npj Digital Medicine. 8, 1, 12 p., 482.

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Open Access

Penetrance of Parkinson’s disease in GBA1 carriers depends on variant severity and polygenic background

Landoulsi, Z., Zelimkhanov, G., Vega, C., Vaillant, M., Tsurkalenko, O., Trouet, J., Thien, H., Theresine, M., Sokolowska, K., Sharify, A., Sapienza, S., Roland, O., Richard, I., Remark, L., Rauschenberger, A., Pexaras, A., Perquin, M., Pavelka, L., Pauly, L. & Pauly, C. & 41 others, Noor, F., Nickels, S., Nehrbass, U., Munsch, M., Mtimet, S., Mittelbronn, M., Menster, M., Mendibide, A., Mediouni, C., Mcintyre, D., Marques, G., Marques, T. M., Lorentz, V., Lopes, A. F., Lambert, P., Kofanova, O., Klucken, J., Jónsdóttir, S., Hundt, A., Henry, M., Henry, E., Hanff, A. M., Graas, J., Giraitis, M., Georges, L., Gantenbein, M., Gamio, C., Fritz, J., Ferrari, A., De Bremaeker, N., Contesotto, G., Boussaad, I., Berchem, G., Béchet, S., Beaumont, K., Batutu, R., Alexandre, M., Aguayo, G., Acharya, G., Krüger, R. & NCER-PD Consortium, 12 Jun 2025, In: npj Parkinson's Disease. 11, 1, 8 p., 162.

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Open Access

1 Citation (Scopus)

Cardiovascular history and risk of idiopathic Parkinson’s disease: a cross-sectional observational study

Acharya, S., Lumley, A. I., Devaux, Y., Boussaad, I., Nickels, S., Ostaszewski, M., Rauschenberger, A., Sapienza, S., Vega, C., Klucken, J., Krüger, R., Pauly, C., Pavelka, L., Acharya, G., Aguayo, G., Alexandre, M., Beaumont, K., Bellora, C., Calmes, J. & Contesotto, G. & 32 others, Esteves, D., Fagherazzi, G., Ferrand, J. Y., Graas, J., Hanff, A. M., Henry, E., Hundt, A., Jónsdóttir, S., Lambert, P., Lorentz, V., Lupu, P. C., Marques, G., Mcintyre, D., Mediouni, C., Menster, M., Noor, F., Perquin, M., Lima, R. R., Sandt, E., Schmitt, M., Sharify, A., Sokolowska, K., Thien, H., Trouet, J., Tsurkalenko, O., Vaillant, M., Valenti, M., Berchem, G., Pauly, L., Mittelbronn, M., NCER-PD Consortium & Nehrbass, U., 8 Jul 2024, In: BMC Neuroscience. 25, 1, 33.

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Open Access

3 Citations (Scopus)

Comprehensive blood metabolomics profiling of Parkinson’s disease reveals coordinated alterations in xanthine metabolism

de Lope, E. G., Loo, R. T. J., Rauschenberger, A., Ali, M., Pavelka, L., Marques, T. M., Gomes, C. P. C., Krüger, R., Glaab, E., Acharya, G., Aguayo, G., Alexandre, M., Ali, M., Ammerlann, W., Arena, G., Balling, R., Bassis, M., Batutu, R., Beaumont, K. & Becker, R. & 118 others, Bellora, C., Berchem, G., Berg, D., Bisdorff, A., Boussaad, I., Bouvier, D., Brockmann, K., Calmes, J., Castillo, L., Contesotto, G., De Bremaeker, N., Diederich, N., Dondelinger, R., Ramia, N. E., Esteves, D., Fagherazzi, G., Ferrand, J. Y., Frauenknecht, K., Gantenbein, M., Gasser, T., Gawron, P., Ghosh, S., Giraitis, M., Glaab, E., Goergen, M., De Lope, E. G., Graas, J., Graziano, M., Groues, V., Grünewald, A., Gu, W., Hammot, G., Hanff, A. M., Hansen, L., Heneka, M., Henry, E., Herbrink, S., Herzinger, S., Heymann, M., Hu, M., Hundt, A., Jacoby, N., Lebioda, J. J., Jarosz, Y., Jónsdóttir, S., Klopfenstein, Q., Klucken, J., Krüger, R., Lambert, P., Landoulsi, Z., Lentz, R., Liepelt, I., Liszka, R., Longhino, L., Lorentz, V., Lupu, P. C., Marques, T. M., Mackay, C., Maetzler, W., Marcus, K., Marques, G., Conde, P. M., May, P., Mcintyre, D., Mediouni, C., Meisch, F., Menster, M., Minelli, M., Mittelbronn, M., Mollenhauer, B., Mühlschlegel, F., Nati, R., Nehrbass, U., Nickels, S., Nicolai, B., Nicolay, J. P., Noor, F., Ostaszewski, M., Gomes, C. P. C., Pachchek, S., Pauly, C., Pauly, L., Pavelka, L., Perquin, M., Lima, R. R., Rauschenberger, A., Rawal, R., Bobbili, D. R., Roomp, K., Rosales, E., Rosety, I., Sandt, E., Sapienza, S., Satagopam, V., Schmitt, M., Schmitz, S., Schneider, R., Schwamborn, J., Severino, R., Sharify, A., Soboleva, E., Sokolowska, K., Thien, H., Thiry, E., Loo, R. T. J., Trefois, C., Trouet, J., Tsurkalenko, O., Vaillant, M., Valenti, M., Van Cutsem, G., Vega, C., Boas, L. V., Vyas, M., Wade-Martins, R., Wilmes, P., Wollscheid-Lengeling, E. & Zelimkhanov, G., 19 Mar 2024, In: npj Parkinson's Disease. 10, 1, 68.

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Open Access

20 Citations (Scopus)

Johanna Trouet

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Interpretable Machine Learning for Cross-Cohort Prediction of Motor Fluctuations in Parkinson's Disease

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson’s disease

Penetrance of Parkinson’s disease in GBA1 carriers depends on variant severity and polygenic background

Cardiovascular history and risk of idiopathic Parkinson’s disease: a cross-sectional observational study

Comprehensive blood metabolomics profiling of Parkinson’s disease reveals coordinated alterations in xanthine metabolism