Abstract #3487
MR-based anatomical covariance predicts brain structural connectivity in mice
Yohan Yee 1,2 , Jacob Ellegood 2 , and Jason P Lerch 1,2
1
Medical Biophysics, University of Toronto,
Toronto, Ontario, Canada,
2
Mouse
Imaging Centre, Hospital for Sick Children, Toronto,
Ontario, Canada
Anatomical covariance networks (ACNs) are networks of
covariances in brain region volume. Mouse ACNs were
computed between eight seed regions and the rest of the
brain voxelwise through high-resolution MR images of
>100 mice brains and compared to structural connections
determined via Allen Brain Institute tracer experiments.
We show that ACNs significantly correlate with fiber
projections, thus providing another way to assess brain
connectivity. ACNs were generally bilateral. Correlating
the ACNs for each seed to tracer injection images gave a
distribution of correlation coefficients with mean
0.176, which is highly significant under the null
distribution obtained through a permutation test.
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