page_title: Dynamic functional connectivity
section_title: Static connectivity
hierarchical_section_title: Dynamic functional connectivity / Overview and history / Static connectivity
caption_attribution_description: English: Magnetic resonance imaging of areas of the brain in the default mode network.
context_page_description: Dynamic functional connectivity refers to the observed phenomenon that functional connectivity changes over a short time. Dynamic functional connectivity is a recent expansion on traditional functional connectivity analysis which typically assumes that functional networks are static in time. DFC is related to a variety of different neurological disorders, and has been suggested to be a more accurate representation of functional brain networks. The primary tool for analyzing DFC is fMRI, but DFC has also been observed with several other mediums. DFC is a recent development within the field of functional neuroimaging whose discovery was motivated by the observation of temporal variability in the rising field of steady state connectivity research.
context_section_description: Functional connectivity refers to the functionally integrated relationship between spatially separated brain regions.  Unlike structural connectivity which looks for physical connections in the brain, functional connectivity is related to similar patterns of activation in different brain regions regardless of the apparent physical connectedness of the regions.  This type of connectivity was discovered in the mid-1990s and has been seen primarily using fMRI and Positron emission tomography.   Functional connectivity is usually measured during resting state fMRI and is typically analyzed in terms of correlation, coherence, and spatial grouping based on temporal similarities.  These methods have been used to show that functional connectivity is related to behavior in a variety of different tasks, and that it has a neural basis.  These methods assume the functional connections in the brain remain constant in a short time over a task or period of data collection.
caption: The default mode network above is one example of a brain network seen using steady state connectivity.  This network is fairly stable in time, but it has been shown to have a variable relationship with other networks, and to vary slightly in its own characteristics in time.
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