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: | Arvind KUMAR |
Institution: | KTH ROYAL INST OF TECHNOLOGY |
Department: | Computational Science and Technology |
Country: | |
Proposed Analysis: | I would like to study how structure of large scale connectivity changes in AD. Briefly, there are three specific questions I would like to address using this data: 1. I would like identify the network foot print (Vlachos et al. 2012) of vulnerable brain regions. 2. We will study how the control nodes and overall controllability of the brain changes as connections are degenerated (Mengiste et al. 2015) 3. We will estimate how bidirectional connectivity may get impaired in brain with AD. Our recent work suggests that bidirectional connectivity among a few nodes is essential for maintaining communication over the brain (Rezaei et al. 2019). I will be happy to provide more details, if needed. Previous work from my research group (cited above) relevant for this project: Mengiste SA, Aertsen A, Kumar A. Effect of edge pruning on structural controllability and observability of complex networks. Scientific reports. 2015 Dec 17;5:18145. Vlachos I, Aertsen A, Kumar A. Beyond statistical significance: implications of network structure on neuronal activity. PLoS computational biology. 2012 Jan 26;8(1):e1002311. Rezaei H, Aertsen A, Kumar A, Valizadeh A. Facilitating the propagation of spiking activity in feedforward networks by including feedback. BioRxiv. 2019 Jan 1:712547. |
Additional Investigators | |
Investigator's Name: | Prabhanjan Mutalik |
Proposed Analysis: | Same as previously stated. |