Preclinical Alzheimer's Disease

Type Start End
Internal Jan 2015 Dec 2023
Responsible URL
Verónica Vilaplana

Publications

Cumplido-Mayoral I, , Operto G, Falcon C, Shekari M, Cacciaglia R, Mila-Aloma M, Lorenzini L, Minguillon C, Molinuevo JLuis, et al. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration stratified by sex. medRxiv. Submitted .
Cumplido-Mayoral I, Garcia-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, Mila-Aloma M, Calvet MSuarez, Vilaplana V, Gispert JD. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration. In: Alzheimer's Association International Conference. Alzheimer's Association International Conference. ; 2022.
Pina O, Cumplido-Mayoral I, Cacciaglia R, González-de-Echávarri JMaría, Gispert JD, Vilaplana V. Structural Networks for Brain Age Prediction. In: Medical Imaging with Deep Learning (MIDL 2022). Medical Imaging with Deep Learning (MIDL 2022). ; 2022.
Cumplido-Mayoral I, Salvadó G, Shekari M, Falcon C, Alomà MMilà, Baizán ANiñerola, Molinuevo JLuis, Zetterberg H, Blennow K, Calvet MSuarez, et al. Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s Disease. In: Alzheimer's Association International Conference. Alzheimer's Association International Conference. ; 2021.
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, Wolz R, Palombit A, Schwarz AJ, Chetelat G, et al. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In: Alzheimer's Association International Conference. Alzheimer's Association International Conference. ; 2021.
Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, Baizán ANiñerola, Perissinotti A, Minguillon C, Fauria K, et al. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In: Alzheimer's Association International Conference. Alzheimer's Association International Conference. ; 2021.
Casamitjana A, Petrone P, Molinuevo JLuis, Gispert JD, Vilaplana V. Projection to Latent Spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer’s disease. Frontiers in Neurology, section Applied Neuroimaging. 2020 ;11.
Casamitjana A, Vilaplana V, Puch S, Aduriz A, Lopez C, Operto G, Cacciaglia R, Falcon C, Molinuevo JL, Gispert JD. NeAT: a nonlinear analysis toolbox for neuroimaging. Neuroinformatics. 2020 .
Petrone P, Casamitjana A, Falcon C, Cànaves MArtigues, Operto G, Cacciaglia R, Molinuevo JLuis, Vilaplana V, Gispert JD. Prediction of amyloid pathology in cognitively unimpaired individuals using voxelwise analysis of longitudinal structural brain MRI. Alzheimer's Research & Therapy. 2019 ;11(1).
Casamitjana A, Petrone P, Molinuevo JL, Gispert JD, Vilaplana V. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study. IEEE Journal of Biomedical and Health Informatics. 2019 .

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