The other scale.
A catalog of major public macro connectomics datasets: whole brains mapped between regions rather than between cells. Last reviewed August 2026. For synapse-resolution datasets, return to the main catalog.
Cell to cell
Electron microscopy. Nodes are individual neurons, edges are synapses you can point at. Cubic millimetres at best, and every one is a decade of work.
Region to region
Diffusion MRI or tracer injection. Nodes are anatomical areas, edges are estimated bundles. Whole living human brains, thousands of them, in an afternoon each.
These are not the same object at two zoom levels. A synapse-resolution connectome observes connections. Diffusion MRI infers them: tractography follows the direction water moves and reconstructs streamlines that are consistent with it, which is not the same as seeing an axon. Streamlines carry no direction, so a macro connectome is undirected unless a tracer supplied the polarity. Known failure modes include crossing fibres, gyral bias and a well-documented tendency to produce false positive bundles. The animal tracer atlases below sit in between: real projections with real polarity, at region scale.
Public macro datasets.
Human diffusion MRI cohorts first, then the animal tracer atlases that give them something to be checked against.
Scope note. Two of these move. UK Biobank imaging is an open recruitment and ABCD is longitudinal with waves still being released, so both are given as released rather than as a total that would be wrong within months. Check the source before quoting a number.
Suggest a missing dataset ↗What a macro connectome looks like.
Eighty-seven white matter bundles from the HCP group average, drawn inside the cortical surface they connect, with a signal running along one of them. This is the macro scale made visible: the highways, not the alleyways.
The white matter, and a signal running through it
87 bundles from the HCP group average inside the group-average cortex. Drag to turn, and watch a pulse travel one tract at real relative length.
Open the visualisation ↗