期刊
NETWORK NEUROSCIENCE
卷 3, 期 1, 页码 217-236出版社
MIT PRESS
DOI: 10.1162/netn_a_00066
关键词
Connectome; Whole-brain; Mouse
资金
- National Institute on Aging [R01AG047589]
- Directorate for Mathematical and Physical Sciences [1122106, 1514743]
- Big Data for Genomics & Neuroscience Training Grant [1T32CA206089-01A1]
- NATIONAL INSTITUTE ON AGING [R01AG047589] Funding Source: NIH RePORTER
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 mu m 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 x 10(5) 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 comparison with functional imaging and other datasets.
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