Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
562-03-015 ISMRM Abstract

Automated Detection of Neuromelanin Neurodegeneration Using Deep Learning in a Latin American Population: MEX-PD MRI Study

Primary: Neuro - Parkinson's Disease
Secondary: Analysis Methods - Segmentation and Detection
562-03-015 · Machine Learning in Neuroimaging · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row C
Keywords: Parkinson's Disease Deep learning Substantia Nigra Neuromelanin-Sensitive Magnetic Resonance Imaging Latin American
Accepted
Shreya Shrivastava1,2,3, Juan Manuel Esquivias Farias4, Stephane Lehericy1,2,3,5, Yamil Matuk-Pérez6,7,8, Erick Humberto Pasaye4, César A Domínguez-Frausto4, Miguel E. Rentería9,10, Alejandra E Ruiz-Contreras11, Alejandra Medina-Rivera12,13, Sarael Alcauter4, Rahul Gaurav 1,2,3
1Mov'IT : Movement Investigation and Therapeutics, Paris Brain Institute - ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, UMR S 1127, Paris, France
2Center for Neuroimaging Research (CENIR), Paris Brain Institute, Paris, France
3Sorbonne University, AP-HP, Paris Brain Institute – ICM, Pitié Salpêtrière University Hospital, Paris, France
4Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, México, Mexico
5Department of Neuroradiology, Pitié Salpêtrière Hospital, APHP, Paris, France
6Parkinson Care Clinic, Hospital Ángeles Centro Sur, Querétaro, Mexico
7Hospital Ángeles Centro Sur, Querétaro, Mexico
8Parkinson Care Clinic, Hospital Ángeles Centro Sur, Querétaro, Mexico
9School of Biomedical Sciences, Faculty of Health, Medicine, and Behavioural Sciences, The University of Queensland, Brisbane, Australia
10Brain & Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia, Australia
11Laboratorio de Neurogenómica Cognitiva, Facultad de Psicología, Universidad Nacional Autonoma de Mexico, Queretaro, Mexico
12Instituto de Neurobiología, Universidad Nacional Autonoma de Mexico, Queretaro, Mexico
13International Laboratory for Human Genome Research, Universidad Nacional Autonoma de Mexico, Queretaro, Mexico
Presenting Author: Rahul Gaurav

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References

1. Poewe, W., Seppi, K., Tanner, C., Halliday, G., Brundin, P., Volkmann, J., Schrag, A. E., & Lang, A. E. (2017). Parkinson disease. Nature Reviews Disease Primers, 3(1), 17013. https://doi.org/10.1038/nrdp.2017.13 [doi]
2. Sasaki, M., Shibata, E., Tohyama, K., Kudo, K., Endoh, J., Otsuka, K., ... & Sakai, A. (2006). Neuromelanin magnetic resonance imaging of locus ceruleus and substantia nigra in Parkinson’s disease. NeuroReport, 17(11), 1215–1218. https://doi.org/10.1097/01.wnr.0000227984.84927.a7 [doi]
3. Lázaro-Figueroa, A., Reyes-Pérez, P., Morelos-Figaredo, E., Guerra-Galicia, C. M., Estrada-Bellmann, I., Salinas-Barboza, K., Matuk-Pérez, Y., Gandarilla-Martínez, N. A., Caballero-Sánchez, U., Flores-Ocampo, V., Montés-Alcántara, P., Espinosa-Méndez, I. M., Zayas-Del Moral, A., Gaspar-Martínez, E., Vazquez-Guevara, D., Rodríguez-Violante, M., Inca-Martinez, M., Mata, I. F., Alcauter, S., Rentería, M. E., Medina-Rivera, A., & Ruiz-Contreras, A. E. (2023). MEX-PD: A national network for the epidemiological & genetic research of Parkinson’s disease. medRxiv. https://doi.org/10.1101/2023.08.28.23294700 [doi]
4. Gaurav, R., Yahia-Cherif, L., Pyatigorskaya, N., Mangone, G., Biondetti, E., Valabrègue, R., Ewenczyk, C., Hutchison, R. M., Cedarbaum, J. M., Corvol, J.-C., Vidailhet, M., & Lehéricy, S. (2021). Longitudinal changes in neuromelanin MRI signal in Parkinson’s disease: A progression marker. Movement Disorders, 36(7), 1592–1602. https://doi.org/10.1002/mds.28531 [doi]
5. Ronneberger, O., Fischer, P., & Brox, T. (2015). U-Net: Convolutional networks for biomedical image segmentation. In Lecture Notes in Computer Science: Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics (Vol. 9351, pp. 234–241). Springer. https://doi.org/10.1007/978-3-319-24574-4_28 [doi]
6. Gaurav, R., Valabrègue, R., Yahia-Chérif, L., Mangone, G., Narayanan, S., Arnulf, I., Vidailhet, M., Corvol, J. C., & Lehéricy, S. (2022). NigraNet: An automatic framework to assess nigral neuromelanin content in early Parkinson's disease using convolutional neural network. NeuroImage. Clinical, 36, 103250. https://doi.org/10.1016/j.nicl.2022.103250 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/562-03-015