Multimodal data features
siibra
provides access to data features of different modalities using siibra.features.get()
, which accepts an anatomical concept like a brain region, parcellation, or reference space, and a feature type from the siibra.features
module.
You can see the available feature types using print(siibra.features.TYPES).
Currently available data features include neurotransmitter densities, regional connectivity profiles, connectivity matrices, high-resolution volumes of interest, gene expressions, and cell distributions.
Additional features, including functional activation maps and electrophysiological recordings, will become available soon.

Understanding links between data features and anatomical locations

Colorizing a map with neurotransmitter receptor densities

Comparative analysis of brain organisation in two brain regions