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Frequency-resolved dynamic functional connectivity and scale stability of connectivity-states

Goldhacker, Markus (2017) Frequency-resolved dynamic functional connectivity and scale stability of connectivity-states. PhD, Universität Regensburg.

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Date of publication of this fulltext: 20 Jan 2017 10:09

Abstract (English)

In one part of my PhD thesis, I have investigated an extension of dFC to a frequency-resolved version of it by applying a sliding window approach on time courses from different frequency scales. The method of choice for the frequency decomposition has been MEMD applied on time-series resulting from a gICA of rs-fMRI data. Frequency scales have been defined by the resulting narrowband IMFs. Those ...

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Translation of the abstract (German)

In einem Teil meiner Doktorarbeit habe ich eine Erweiterung der dFC zu einer frequenzaufgelösten Version untersucht, indem ein sliding window Ansatz auf Zeitverläufe verschiedener Frequenzskalen angewandt wurde. Die Methode der Wahl der Frequenzdekomposition ist MEMD gewesen angewandt auf Zeitserien, die aus einer gICA angewandt auf rs-fMRT Daten resultierten. Die Frequenzskalen sind durch die ...

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Item type:Thesis of the University of Regensburg (PhD)
Date:20 January 2017
Referee:Prof. Dr. Elmar Lang
Date of exam:16 January 2017
Institutions:Psychology and Pedagogy > 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:functional magnetic resonance imaging; resting-state; group independent component analysis; multivariate empirical mode decomposition; frequency-resolution; filter banks; dynamic functional connectivity; connectivity-states; clustering; k-means; validation criterion; Ising model; backbone simulations; Ising model and connectivity
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
100 Philosophy & psychology > 150 Psychology
500 Science > 500 Natural sciences & mathematics
500 Science > 530 Physics
500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:35072
Owner only: item control page

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