ADNI data is made available to researchers around the world. As such, there are many active research projects accessing and applying the shared ADNI data. To further encourage Alzheimer’s disease research collaboration, and to help prevent duplicate efforts, the list below shows the specific research focus of the active ADNI investigations. This information is requested annually as a requirement for data access.
|Principal Investigator's Name:||Nathan Hutcheson|
|Institution:||University of Alabama at Birmingham|
|Department:||Graduate Biomedical Sciences/ Neuroscience track|
|Proposed Analysis:||I propose to use information retrieval (IR) techniques (Clark, 2011) in order to identify features of structural MRI neuroimaging data that are associated with psychosis characteristics. Specifically of interest are subtle spatial distributed structural variations in cortical thickness and subcortical volumetric that can predict later development of neuropsychiatric symptoms such as hallucinations and delusions. This proposal aims at performing a similar analysis to a previous paper published on the ADNI database (Clark, 2011) but the current proposal aims to use the structural MRI data as a biomarker and to investigate the relationship between these structural changes and psychosis symptoms in an Alzheimer’s disease population. The raw MRI data will be preprocessed using the Freesurfer pipeline (freely available at http://surfer.nmr.mgh.harvard.edu). Subsequent training and testing of the classifier will be conducted either in MATLAB (http://www.mathworks.com/products/matlab/) or the R statistical package (freely available at http://www.r-project.org). The resulting classifier from this analysis will be tested using cross-validation techniques. The ultimate goal of this paper would be to utilize multivariate techniques to identify subtle structural changes in the brain that are associated with the development of neuropsychiatric symptoms such as psychosis, which would have implications for other psychiatric diseases such as schizophrenia and bipolar disorder. Clark, D.G., 2011. Residual vectors for Alzheimer disease diagnosis and prognostication. Brain and Behavior 1, 142-152.|