Abstract #1670

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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