Abstract:
Resting state fMRI has become a widely used approach in assessing functional connectivity of the brain. To date, while most studies have assumed the resting state brain activity to be stationary, there is general consensus that it is non-stationary and dynamic. In the past few years, we have developed several approaches to characterize the dynamics in resting-state fMRI data and have found that 1) the resting-state hops between a number of quasistationary states and 2) the characteristics of these states and transitions between them can provide valuable measures of the brain. In addition, the different states can be considered as stationary for brain parcellation, providing more reproducible and more detailed segmentations. In this talk, I will describe the methods used to identify and characterize these states, the spatiotemporal features of these states and the application of state-specific parcellation to the segmentation of thalamus.

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