![]() | License: Creative Commons Attribution 4.0 PDF - Published Version (3MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-376742
- DOI to cite this document:
- 10.5283/epub.37674
Abstract
Investigating temporal variability of functional connectivity is an emerging field in connectomics. Entering dynamic functional connectivity by applying sliding window techniques on resting-state fMRI (rs-fMRI) time courses emerged from this topic. We introduce frequency-resolved dynamic functional connectivity (frdFC) by means of multivariate empirical mode decomposition (MEMD) followed up by ...

Owner only: item control page