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 | |
| Principal Investigator's Name: | Amy Kuceyeski |
| Institution: | Weill Cornell Medical College |
| Department: | Radiology |
| Country: | |
| Proposed Analysis: | Our lab at Cornell is looking at whole brain networks extracted from both cortical thinning data using T1 images and tractography using DTI data. We propose to implement this procedure on the available ADNI data in order to investigate the network properties of AD. In particular, we will look at the spread and propagation of AD on the putative brain network, and deduce the speed and major modes of this propagation. The ultimate clinical question we wish to address is: given the current state of the disease in a patient, can we predict the future states, by incorporating the learned modes of disease propagation on the brain connectivity network? Based on our previous success in this direction (ref 1), we are confident of producing interesting results. Ref 1: Raj A, Mueller SG, Young K, Laxer KD, Weiner M. Network-level analysis of cortical thickness of the epileptic brain. Neuroimage. 2010 Oct 1;52(4):1302-1313. Epub 2010 May 27. |
| Additional Investigators | |
| Investigator's Name: | Ashish Raj |
| Proposed Analysis: | Our lab at Cornell is looking at whole brain networks extracted from both cortical thinning data using T1 images and tractography using DTI data. We propose to implement this procedure on the available ADNI data in order to investiagte the network properties of AD. In particular, we will look at the spread and propagation of AD on the putative brain network, and deduce the speed and major modes of this propagation. The ultimate clinical question we wish to address is: given the current state of the disease in a patient, can we predict the future states, by incorporating the learned modes of disease propagation on the brain connectivity network? Based on our previous success in this direction (ref 1), we are confident of producing interesting results. Ref 1: Raj A, Mueller SG, Young K, Laxer KD, Weiner M. Network-level analysis of cortical thickness of the epileptic brain. Neuroimage. 2010 Oct 1;52(4):1302-1313. Epub 2010 May 27. |