Title
Testing group differences in state transition structure of dynamic functional connectivity models
Abstract
Understanding the origins of intrinsic time-varying functional connectivity remains a challenge in the neuroimaging community. However, some associations between dynamic functional connectivity (dFC) and behavioral traits have been observed along with gender differences. We propose a permutation testing framework to investigate dynamic differences between groups of subjects. In particular, we investigate differences in fractional occupancy, state persistency and the full transition probability matrix. We demonstrate our framework on resting state functional magnetic resonance imaging data from 820 healthy young adults from the Human Connectome Project considering two prominent dFC models, namely sliding-window k-means and the Gaussian hidden Markov model. The variables showing consistent significant dynamic differences were limited to gender and the degree of motion in the scanner. We observe for the data considered that a large sample size (here 500 subjects) is needed to to draw reliable conclusions about the significance of those variables. Our results point to dynamic features providing limited information with regard to behavioral traits despite a relatively large sample size.
Year
DOI
Venue
2018
10.1109/PRNI.2018.8423966
2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI)
Keywords
Field
DocType
state transition structure,dynamic functional connectivity models,intrinsic time-varying functional connectivity,transition probability matrix,state functional magnetic resonance imaging data,Human Connectome Project,prominent dFC models,sliding-window k-means,Gaussian hidden Markov model
Human Connectome Project,Stochastic matrix,Functional magnetic resonance imaging,Resting state fMRI,Neuroimaging,Statistics,Dynamic functional connectivity,Hidden Markov model,Sample size determination
Conference
ISBN
Citations 
PageRank 
978-1-5386-6860-3
0
0.34
References 
Authors
9
5
Name
Order
Citations
PageRank
Soren Fons Vind Nielsen141.84
Diego Vidaurre220812.91
Kristoffer Hougaard Madsen314518.74
Mikkel N. Schmidt427726.13
Morten Mørup570451.29