Putting the “dynamic” back into dynamic functional connectivity

Putting Time (back) into Dynamic Function Allocation

This position paper discusses extensions to concepts of Dynamic Function Allocation (DFA) that could improve our understanding of the trade-offs involved in designing and operating humanautomation systems. We suggest that current DFA paradigms, focusing predominantly on allocation along the human-automation resource dimension, may provide an insufficient basis for design decisions as they fail ...

Dynamic functional connectivity.

Recent studies show that anatomical and functional brain networks exhibit similar small-world properties. However, the networks that are compared often differ in what the nodes represent (e.g. sensors or brain areas), what kind of connectivity is measured, and what temporal and spatial scales are probed. Here, I review studies of large-scale connectivity and recent results from a variety of rea...

Dynamic Functional Connectivity tutorial: solutions

Putting proteins back into water

We introduce a simplified protein model where the solvent (water) degrees of freedom appear explicitly (although in an extremely simplified fashion). Using this model we are able to recover the thermodynamic phenomenology of proteins over a wide range of temperatures. In particular we describe both the warm and the cold protein denaturation within a single framework, while addressing important ...

Evaluation of Model-Based Methods in Estimating Dynamic Functional Connectivity of Brain Regions

Today, neuroscientists are interested in discovering human brain functions through brain networks. In this regard, the evaluation of dynamic changes in functional connectivity of the brain regions by using functional magnetic resonance imaging data has attracted their attention. In this paper, we focus on two model-based approaches, called the exponential weighted moving average model and the d...