Date created: | Last Updated:

Category: Project

Description: This R script creates connectograms from the results of BVAR-connect. The BVAR-connect Matlab software is available for download at: https://github.com/marinavannucci and https://github.com/rimehi See the following citations for more information about BVAR-connect: Chiang, S., Guindani, M., Yeh, H.J., Haneef, Z., Stern, J.M. and Vannucci, M. (2017). A Bayesian Vector Autoregressive Model for Multi-Subject Effective Connectivity Inference using Multi-Modal Neuroimaging Data. Human Brain Mapping, 38, 1311-1332. Kook, J.H., Vaughn, K.A., DeMaster, D.M., Ewing-Cobbs, L., and Vannucci, M. (2019). BVAR-connect: A Variational Bayes Approach to Multi-Subject Vector Autoregressive Models for Inference on Brain Connectivity Networks. NeuroImage. Submitted. The R code is based on the circlize package created by Zuguang Gu. More information about the package can be found here: https://jokergoo.github.io/circlize_book/book/ Please contact me with any questions about the specific use of the BVAR-connect connectograms R script: Kelly.A.Vaughn@uth.tmc.edu