Goldhacker, Markus and Tome, Ana M. and Greenlee, Mark W. and Lang, Elmar W. (2018) Frequency-Resolved Dynamic Functional Connectivity Reveals Scale-Stable Features of Connectivity-States. FRONTIERS IN HUMAN NEUROSCIENCE, 12: 253. ISSN 1662-5161,
Full text not available from this repository. (Request a copy)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 filter-bank investigations. In general, we find that MEMD is capable of generating time courses to perform frdFC and we discover that the structure of connectivity-states is robust over frequency scales and even becomes more evident with decreasing frequency. This scale-stability varies with the number of extracted clusters when applying k-means. We find a scale-stability drop-off from k = 4 to k = 5 extracted connectivity-states, which is corroborated by null-models, simulations, theoretical considerations, filter-banks, and scale-adjusted windows. Our filter-bank studies show that filter design is more delicate in the rs-fMRI than in the simulated case. Besides offering a baseline for further frdFC research, we suggest and demonstrate the use of scale-stability as a possible quality criterion for connectivity-state and model selection. We present first evidence showing that connectivity-states are both a multivariate, and a multiscale phenomenon. A data repository of our frequency-resolved time-series is provided.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | EMPIRICAL MODE DECOMPOSITION; TIME-SERIES; FMRI DATA; CONNECTOME; NETWORKS; ALGORITHMS; dynamic functional connectivity; multivariate; empirical mode decomposition; filter-bank; multiscale; fMRI; resting-state; scale-invariance |
| Subjects: | 100 Philosophy & psychology > 150 Psychology |
| Divisions: | Psychology and Pedagogy > Institut für Psychologie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 17 Feb 2020 09:49 |
| Last Modified: | 17 Feb 2020 09:49 |
| URI: | https://pred.uni-regensburg.de/id/eprint/14379 |
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