High-resolution data-driven model of the mouse connectome.

Network Neuroscience
Joseph E. KnoxStefan Mihalas

Abstract

Knowledge of mesoscopic brain connectivity is important for understanding inter- and intraregion information processing. Models of structural connectivity are typically constructed and analyzed with the assumption that regions are homogeneous. We instead use the Allen Mouse Brain Connectivity Atlas to construct a model of whole-brain connectivity at the scale of 100 μm voxels. The data consist of 428 anterograde tracing experiments in wild type C57BL/6J mice, mapping fluorescently labeled neuronal projections brain-wide. Inferring spatial connectivity with this dataset is underdetermined, since the approximately 2 × 105 source voxels outnumber the number of experiments. To address this issue, we assume that connection patterns and strengths vary smoothly across major brain divisions. We model the connectivity at each voxel as a radial basis kernel-weighted average of the projection patterns of nearby injections. The voxel model outperforms a previous regional model in predicting held-out experiments and compared with a human-curated dataset. This voxel-scale model of the mouse connectome permits researchers to extend their previous analyses of structural connectivity to much higher levels of resolution, and it allows for compar...Continue Reading

References

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Citations

Apr 24, 2019·PLoS Computational Biology·Hannah Choi, Stefan Mihalas
Nov 2, 2019·Nature·Julie A HarrisHongkui Zeng
Oct 13, 2018·The Journal of Comparative Neurology·Jennifer D WhitesellJulie A Harris
Dec 5, 2020·Current Opinion in Neurobiology·Xiao-Jing WangHenry Kennedy
Nov 17, 2020·Network Neuroscience·Kamal ShadiConstantine Dovrolis
Aug 9, 2021·The European Journal of Neuroscience·Mattia Bonzanni, David L Kaplan

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Software Mentioned

homog
PTP
Allen Mouse Brain Common Coordinate Framework ( CCF
SSp
ll
ACAv

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