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: | Thomas Schneider |
| Institution: | Technical University of Munich; The Cantonal Hospital of St.Gallen |
| Department: | Sport and Health Sciences; Clinic of Neurology |
| Country: | |
| Proposed Analysis: | We want to establish support-vector-machine based classifiers (SVM) to predict which patients suffering from mild cognitive impairment will convert to Alzheimer Dementia and to assess diease progression. Based on the ADNI data we want to train the SVM with the results of atlas-based brain volumetry, functional measures and CSF-biomarkers after the extraction of the most relevant features employing a maximum-relevance minimum redundance algorithm. We aim to validate this classifier on retrospective data from the memory clinic of the Cantonal Hospital of St. Gallen an obtain the sensitivity, specifity and AUC of the classifications between MIC patients who converted to dementia in follow up and the MCI patients who did not. In a seperate subanalyses we will assess which factors predict a fast disease progression of converting MCI patients. Atlas based Morphometry will be conducted with the Clinical Anatomy Toolbox and SPM 12 and will also include an assessment of white matter hyperintensities. The proposed analyses will be conducted to generate hypotheses for planning future prospective research protocolls. |
| Additional Investigators |
