Abstract #1675

Exploring visual network connectivity in the mouse brain using DCM fMRI

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.

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