Frequency-resolved dynamic functional connectivity and scale-invariant connectivity-state behavior

Name: Frequency-resolved dynamic functional connectivity and scale-invariant connectivity-state behavior
Published: 2015
Keywords: Dynamic functional connectivity, Multivariate, Empirical mode decomposition, Filter-bank, Multiscale, fMRI, Resting-state, Scale-invariance, 150 Psychology, 530 Physics, 570 Life sciences

URN to cite this document:: urn:nbn:de:bvb:355-epub-326420
DOI to cite this document:: 10.5283/epub.32642

Goldhacker, Markus

	License: Creative Commons Attribution 4.0 Plain Text - Additional Metadata README.txt, in which the folder structure is explained (3kB)
	License: Creative Commons Attribution 4.0 ZIP Archive - Data rs-fMRI data (11GB)
	License: Creative Commons Attribution 4.0 ZIP Archive - Data simulated data (13GB)

Date of publication of this fulltext: 22 Oct 2015 11:10

Details

Item type:	Dataset
Date:	21 October 2015
Institutions:	Human Sciences > Institut für Psychologie > Lehrstuhl für Psychologie I (Allgemeine Psychologie I und Methodenlehre) - Prof. Dr. Mark W. Greenlee Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Keywords:	Dynamic functional connectivity, Multivariate, Empirical mode decomposition, Filter-bank, Multiscale, fMRI, Resting-state, Scale-invariance
Dewey Decimal Classification:	100 Philosophy & psychology > 150 Psychology 500 Science > 530 Physics 500 Science > 570 Life sciences
Status:	Unpublished
Refereed:	Unknown
Created at the University of Regensburg:	Yes
Item ID:	32642

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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 ...

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