Arun Niranjan1, Peter Zeidman2, Jack A Wells1, and Mark F Lythgoe1
1Centre for Advanced Biomedical Imaging, University College London, London, United Kingdom, 2Institute of Neurology, University College London, London, United Kingdom
Understanding effective (i.e. causal) connectivity in the
brain using fMRI with dynamic causal modelling (DCM) has attracted a large
amount of interest in recent years. Applications of fMRI to map brain function
in the mouse are on the rise, targeting transgenic mouse models of pathology.
However, DCM has not yet been applied to mouse brain fMRI, in part due to the difficulties
of acquiring high quality data. In this work we demonstrate the use of DCM fMRI
to understand effective connectivity in the healthy mouse visual system, showing
results consistent with the underlying biology.
