TY  - CONF
ID  - moewes_analysis_2012
T1  - Analysis of Dynamic Brain Networks using VAR Models
A1  - Moewes, Christian
A1  - Kruse, Rudolf
A1  - Sabel, Bernhard A.
ED  - Kruse, Rudolf
ED  - Berthold, Michael R.
ED  - Moewes, Christian
ED  - Gil, María Ángeles
ED  - Grzegorzewski, Przemysław
ED  - Hryniewicz, Olgierd
T3  - Advances in Intelligent Systems and Computing (AISC)
Y1  - 2012
VL  - 190
SP  - 525
EP  - 532
PB  - Springer-Verlag
AD  - Heidelberg Berlin
SN  - 978-3-642-33041-4
UR  - http://link.springer.com/chapter/10.1007/978-3-642-33042-1_56
M2  - doi: 10.1007/978-3-642-33042-1_56
KW  - dynamic networks
KW  - elctroencephalography
KW  - neuroimaging
KW  - Regression
KW  - vector autoregressive model
N2  - In neuroscience it became popular to represent neuroimaging data from the human brain as networks. The edges of these (weighted) graphs represent a spatio-temporal similarity between paired data channels. The temporal series of graphs is commonly averaged to a weighted graph of which edge weights are eventually thresholded. Graph measures are then applied to this network to correlate them, e.g. with clinical variables. This approach has some major drawbacks we will discuss in this paper. We identify three limitations of static graphs: selecting a similarity measure, averaging over time, choosing an (arbitrary) threshold value. The latter two procedures should not be performed due to the loss of brain activity dynamics. We propose to work on series of weighted graphs to obtain time series of graph measures. We use vector autoregressive (VAR) models to facilitate a statistical analysis of the resulting time series. Machine learning techniques are used to find dependencies between VAR parameters and clinical variables. We conclude with a discussion and possible ideas for future work.
ER  -
TY  - CONF
ID  - kruse_synergies_2012
T1  - Synergies of Soft Computing and Statistics for Intelligent Data Analysis
ED  - Kruse, Rudolf
ED  - Berthold, Michael R.
ED  - Moewes, Christian
ED  - Gil, María Ángeles
ED  - Grzegorzewski, Przemysław
ED  - Hryniewicz, Olgierd
T3  - Advances in Intelligent Systems and Computing (AISC)
Y1  - 2013
VL  - 190
PB  - Springer-Verlag
AD  - Heidelberg Berlin
SN  - 978-3-642-33041-4
UR  - http://www.springer.com/978-3-642-33041-4
M2  - doi: 10.1007/978-3-642-33042-1
KW  - Computational Intelligence
KW  - Intelligent data analysis
KW  - SMPS2012
ER  -