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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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