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: | Utkarsh Lal |
| Institution: | Manipal Institute of Technology |
| Department: | Data Science |
| Country: | |
| Proposed Analysis: | We have developed ML models for detecting Parkinson's disease from EEG data with 99% accuracy. The paper has been submitted to a journal in Nov, 2022, and is under review. We have implemented and presented comparative analysis of various feature extraction measures like fractal dimension, entropy, spectral value decomposition, hjorth parameter, among others. We wish to tune this model to analyze Alzheimer's disease, for which we are seeking access to the ADNI dataset. We are planning to understand the significance of fractal dimension and singualar value decomposition as effective feature extraction methods. We want to release an ML pipeline that is able to generalize over different neurological conditions. |
| Additional Investigators | |
| Investigator's Name: | Arjun Vinayak Chikkankod |
| Proposed Analysis: | Same as the principal investigator |
