| License: Creative Commons Attribution 4.0 PDF - Published Version (2MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-768376
- DOI to cite this document:
- 10.5283/epub.76837
Abstract
Resting-state fMRI captures spontaneous neural activity characterized by complex spatiotemporal dynamics. Various metrics, such as local and global brain connectivity and low-frequency amplitude fluctuations, quantify distinct aspects of these dynamics. However, these measures are typically analyzed independently, overlooking their interrelations and potentially limiting analytical sensitivity. ...

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