Functional connectivity dynamics: Modeling the switching behavior of the resting state
Max Planck Institute for Dynamics and Self-Organization · Max Planck Society · +1 more institution
Abstract
Functional connectivity (FC) sheds light on the interactions between different brain regions. Besides basic research, it is clinically relevant for applications in Alzheimer's disease, schizophrenia, presurgical planning, epilepsy, and traumatic brain injury. Simulations of whole-brain mean-field computational models with realistic connectivity determined by tractography studies enable us to reproduce with accuracy aspects of average FC in the resting state. Most computational studies, however, did not address the prominent non-stationarity in resting state FC, which may result in large intra- and inter-subject variability and thus preclude an accurate individual predictability. Here we show that this…
Citation impact
- FWCI
- 20.52
- Percentile
- 100%
- References
- 51
Authors
5Topics & keywords
- Resting state fMRI
- Default mode network
- Predictability
- Neuroscience
- Dynamic functional connectivity
- Functional connectivity
- Computer science
- Statistical physics
- Good health and well-being