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Principal Investigator  
Principal Investigator's Name: Arvind KUMAR
Department: Computational Science and Technology
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.