Go to content
UR Home

Frequency-Resolved Dynamic Functional Connectivity Reveals Scale-Stable Features of Connectivity-States

Goldhacker, Markus, Tomé, Ana M., 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), pp. 1-16.

[img]License: Creative Commons Attribution 4.0
PDF - Published Version
Download (3MB)
Date of publication of this fulltext: 30 Aug 2018 10:20

at publisher (via DOI)

Other URL: http://doi.org/10.3389/fnhum.2018.00253, https://www.frontiersin.org/articles/10.3389/fnhum.2018.00253/full


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 ...


Export bibliographical data

Item type:Article
Date:26 June 2018
Institutions:Psychology and Pedagogy > Institut für Psychologie > Lehrstuhl für Psychologie I (Allgemeine Psychologie I und Methodenlehre) - Prof. Dr. Mark W. Greenlee
Projects:Open Access Publizieren (DFG)
Identification Number:
Keywords:dynamic functional connectivity, multivariate, empirical mode decomposition, filter-bank, multiscale, fMRI, resting-state, scale-invariance
Dewey Decimal Classification:100 Philosophy & psychology > 150 Psychology
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:37674
Owner only: item control page


Downloads per month over past year

  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons