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: | Guanqun Cao |
Institution: | Auburn University |
Department: | Math & Stats |
Country: | |
Proposed Analysis: | Motivated by the analysis of imaging data, we propose a novel functional data analysis model to carry out the regression analysis of functional response data. We apply the proposed mathod to investigate the development of white matter diffusivities along the corpus callosum skeleton obtained from Alzheimer’s Disease Neuroimaging Initiative (ADNI) study |
Additional Investigators | |
Investigator's Name: | Zuofeng Shang |
Proposed Analysis: | In this work, we propose a deep neural networks based method to perform nonparametric regression for functional data. The proposed estimators are based on sparsely connected deep neural networks with ReLU activation function. We provide the convergence rate of the proposed deep neural networks estimator in terms of the empirical norm. Through Monte Carlo simulation studies we examine the finite-sample performance of the proposed method. Finally, the proposed method is applied to analyze positron emission tomography images of patients with Alzheimer disease obtained from the Alzheimer Disease Neuroimaging Initiative database. |