The table below provides a searchable list of region-to-region (macroscale) collated published connection reports (macroconnections) for the hypothalamus of the rat. Currently, these data include reports of macroconnections within the hypothalamus, and between the hypothalamus and cerebral cortex, cerebral nuclei, and thalamus.
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Region nomenclature follows an open access atlas for the rat brain (Brain Maps 4.0. Swanson, L. W. 2018). For additional information, including details of region organization within the central nervous system, see the atlas, or on this website the Brain Maps page and the interactive spreadsheet Brain Maps 4.0 CNS Divisions. The main Connections page on this website includes a table for finding a region name if only the abbreviation is known, or vice versa.
Search tips: To show only connection reports that were chosen as the best available for use in network analysis (Connection Data Sources at bottom of page) select [yes] from the [Selected Report] category. Multiple filter selections can be applied to refine search results. To clear all filters select [Clear filters] from the [More actions] menu.
Connection data sources for hypothalamus macroconnections
Macroconnection reports provided on this website were collated from the primary literature. The publications below describes network analyses based on selected reports for the hypothalamus.
1. Hahn, J.D., Sporns, O., Watts, A.G., Swanson, L.W. (2019). Macroscale intrinsic network architecture of the hypothalamus. Proc Natl Acad Sci USA. 116(16): 8018-8027. doi: 10.1073/pnas.1819448116
2. Swanson, L.W., Sporns, O., Hahn, J.D. (2019) The network architecture of rat intrinsic interbrain (diencephalon) macroconnections and a comparison with endbrain (telencephalon) architecture. Proc Natl Acad Sci USA. 116(52): 26991-27000. doi: 10.1073/pnas.1915446116
3. Swanson, L.W., Hahn, J.D., Sporns, O. (2020) Structure–function subsystem models of female and male forebrain networks integrating cognition, affect, behavior, and bodily functions. Proc Natl Acad Sci USA. 117(49): 31470-31481: doi: 10.1073/pnas.2017733117