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Abstract #7952

Dynamic fcMRI: Approaches

Xiao Liu1,2

1Biomedical Engineering, Pennsylvania State University, University Park, PA, United States, 2Institutes for CyberScience, Pennsylvania State University, University Park, PA, United States

Resting-state functional connectivity has been found to vary considerably over a time scale of seconds to minutes. A set of methods/approaches have been proposed to study such temporal variation and its relation to dynamic brain connectivity, which led to important insight into the mechanisms of resting-state fMRI connectivity. More importantly, these emerging methods can extract a new dimension of information from the resting-state fMRI that may be critical for assessing brain functions/dysfunctions. The study of dynamic functional connectivity opens up new horizons for the resting-state fMRI research.

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