TY  - GEN
AU  - Dickscheid, Timo
AU  - Bludau, Sebastian
TI  - Making the multiscale organization of the human brain accessible to reproducible workflows using siibra-python
M1  - FZJ-2024-05675
PY  - 2024
AB  - Understanding the human brain requires access to experimental data that capture relevant aspects of brain organization across a broad range of scales and modalities, and typically originate from a plethora of resources. To make multimodal and multidimensional measures of brain organization accessible, they need to be integrated into a common reference framework and exposed via suitable software interfaces. This tutorial will introduce participants to siibra toolsuite, which provides access to a multilevel atlas of the human brain built from “big data”. The atlas integrates brain reference templates at different spatial scales, complementary parcellation maps, and a wide range of multimodal data features. It links macroanatomical concepts and their inter-subject variability with measurements of the microstructural composition and intrinsic variance of brain regions, using cytoarchitectonic maps as a reference, and integrating the BigBrain model as microscopic reference template. The tool suite includes a web-based 3D viewer (siibra-explorer) and a Python library (siibra-python) to support a broad range of neuroscientific use cases. It makes use of EBRAINS as a data sharing platform and cloud infrastructure and implements interfaces to other neuroscience resources. The focus of this tutorial will be on building reproducible workflows with BigBrain data using the siibra-python library.
T2  - 8th BigBrain Workshop
CY  - 9 Sep 2024 - 11 Sep 2024, Padua (Italy)
Y2  - 9 Sep 2024 - 11 Sep 2024
M2  - Padua, Italy
LB  - PUB:(DE-HGF)17
UR  - https://juser.fz-juelich.de/record/1031456
ER  -