Dynamic reorganization of intrinsic functional networks in the mouse brain
Joanes Grandjean1, Maria G. Preti 2,3, Thomas AW Bolton2, Dimitri Van De Ville2, and Markus Rudin4
1ETH and University Zurich, Zurich, Switzerland, 2EPFL, Lausanne, Switzerland, 3University of Geneva, Geneva, Switzerland, 4University and ETH Zurich, Zurich, Switzerland
Dynamic functional connectivity was
assessed in the mouse brain. High quality resting-state fMRI data were acquired
and analysed with sliding window correlations. Re-occurring dynamic functional
networks were estimated using dictionary learning from the sliding window
correlation matrix. The dynamic
functional connectivity analysis reveals rich patterns of interactions, which
were absent in the standard static functional connectivity analysis, and may be
used to describe specific alterations in mouse models of brain disorders. In
particular, the dynamic functional networks present salient features such as
between and within module interactions, which complement the static functional
connectivity analysis.
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