Magali Perquin

rue Thomas Edison, 1
1445 Luxembourg
Luxembourg

595

Citations

Research activity per year

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Dive into the research topics where Magali Perquin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

1 Finished
2 Active

PREDIPET-AD: Predictive PET imaging of Alzheimer’s Disease
Keunen, O. (PI), Perquin, M. (Partner), McIntyre, D. (Partner), Luo, G. (Partner) & Deng, Y. (Partner)
FNR - Fonds National de la Recherche
1/09/25 → 31/05/28
Project: Research
DIGICOG: MONITORING "LONG-COVID" IMPACT ON COGNITION VIA DIGITAL NEUROPSYCHOLOGICAL ASSESSMENT
Perquin, M. (PI), Monteiro, S. (Partner) & Lacomba Arnau, E. (Partner)
1/01/23 → 31/03/26
Project: Research
Memo Lingua: Exploration of the neuroprotective benefit provided by multilingualism acting as proxy for cognitive reserve in the prevention of cognitive impairment and decline
Perquin, M. (PI), Caldarelli, N. (PI) & Vaillant, M. (PI)
Luxembourg Institute of Health
1/01/15 → 31/12/17
Project: Research

33 Article
4 Preprint
3 Comment/debate
2 Commissioned report
More

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research
Ghamizi, S., Kanli, G., Deng, Y., Perquin, M. & Keunen, O., 17 Jun 2025, 28 p.
Research output: Other contribution › peer-review
Correction to: Creation of a pandemic memory by tracing COVID-19 infections and immunity in Luxembourg (CON-VINCE)
CON-VINCE consortium and the ORCHESTRA working group, 3 Jul 2025, In: BMC Infectious Diseases. 25, 1, 1 p.
Research output: Contribution to journal › Comment/debate

Open Access
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.
Research output: Contribution to journal › Article › Research › peer-review

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.
Research output: Contribution to journal › Article › Research › peer-review

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.
Research output: Contribution to journal › Article › Research › peer-review

Open Access
1 Citation (Scopus)

Magali Perquin

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Collaborations and top research areas from the last five years

Dive into details

PREDIPET-AD: Predictive PET imaging of Alzheimer’s Disease

DIGICOG: MONITORING "LONG-COVID" IMPACT ON COGNITION VIA DIGITAL NEUROPSYCHOLOGICAL ASSESSMENT

Memo Lingua: Exploration of the neuroprotective benefit provided by multilingualism acting as proxy for cognitive reserve in the prevention of cognitive impairment and decline

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research

Correction to: Creation of a pandemic memory by tracing COVID-19 infections and immunity in Luxembourg (CON-VINCE)

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

Magali Perquin

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output