Modelling resting state networks in the human brain
by Thordis L. Thorarinsdottir and Eva B. Vedel Jensen
Research Reports
Number 479 (June 2006)
In the present paper, we show how spatio-temporal point process models for functional magnetic resonance imaging (fMRI) data can be used in the study of resting state networks in the human brain. The model explicitly includes knowledge of the hemodynamic response to neuronal activation. Fully Bayesian analysis of the model is described and an example of analysis of a fMRI data set is given. Other methods of analysis of resting state networks are also discussed.
Published in Proceedings S4G, International Conference on Stereology, Spatial Statistics and Stochastic Geometry, Union Czech Mathematicians and Physicists, pages 137-147 (2006)
This primarily serves as Thiele Research Reports number 10-2006, but was also published in Research Reports
