There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Raul Mendoza Quiñones |
| Institution: | Cuban Center for Neurosciences |
| Department: | Neuroinformatics |
| Country: | |
| Proposed Analysis: | The search for biomarkers associated with neurodegenerative disorders such as Alzheimer Disease (AD) may improve our understanding of the neural pathways and mechanisms underlying such disorder. The aim of our project is to develop methods based on statistical and machine learning for the identification of biomarkers for AD that will reduce the heterogeneity of clinical symptoms. Moreover, we will explore the association of such biomarkers with measures from other modalities such as EEG/ERP, with a long term goal of developing sensitive and specific multimodal biomarkers for early diagnosis, follow-up, and prediction of disease outcome and therapy efficacy |
| Additional Investigators | |
| Investigator's Name: | Mitchell Valdés Sosa |
| Proposed Analysis: | The search for biomarkers associated with neurodegenerative disorders such as Alzheimer Disease (AD) may improve our understanding of the neural pathways and mechanisms underlying such disorder. The aim of our project is to develop methods based on machine learning-based solutions or other multivariate stratification algorithms in order to improve strategies of clasifications of AD |
| Investigator's Name: | Eduardo Martinez Montés |
| Proposed Analysis: | The search for biomarkers associated with neurodegenerative disorders such as Alzheimer Disease (AD) may improve our understanding of the neural pathways and mechanisms underlying such disorder. The aim of our project is to develop methods based on statistical and machine learning for the identification of biomarkers for AD that will reduce the heterogeneity of clinical symptoms. Moreover, we will explore the association of such biomarkers with measures from other modalities such as EEG/ERP, with a long term goal of developing sensitive and specific multimodal biomarkers for early diagnosis, follow-up, and prediction of disease outcome and therapy efficacy |
| Investigator's Name: | Marlis Ontivero Ortega |
| Proposed Analysis: | The search for biomarkers associated with neurodegenerative disorders such as Alzheimer Disease (AD) may improve our understanding of the neural pathways and mechanisms underlying such disorder. The aim of our project is to develop methods based on machine learning-based solutions or other multivariate stratification algorithms in order to improve strategies of clasifications of AD |
