This title appears in the Scientific Report :
2022
Please use the identifier:
http://hdl.handle.net/2128/33836 in citations.
Please use the identifier: http://dx.doi.org/10.1016/j.biopsych.2022.09.014 in citations.
Mapping cyto- and receptor architectonics to understand brain function and connectivity
Mapping cyto- and receptor architectonics to understand brain function and connectivity
This review focuses on cytoarchitectonics and receptor architectonics as biological correlates of function and connectivity. It introduces the 3-dimensional cytoarchitectonic probabilistic maps of cortical areas and nuclei of the Julich-Brain Atlas, available at EBRAINS, to study structure-function...
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Personal Name(s): | Zachlod, Daniel (Corresponding author) |
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Palomero-Gallagher, Nicola / Dickscheid, Timo / Amunts, Katrin | |
Contributing Institute: |
Strukturelle und funktionelle Organisation des Gehirns; INM-1 |
Published in: | Biological psychiatry, 93 (2023) 5, S. 471-479 |
Imprint: |
Amsterdam [u.a.]
Elsevier Science
2023
|
DOI: |
10.1016/j.biopsych.2022.09.014 |
Document Type: |
Journal Article |
Research Program: |
Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027) Human Brain Project Specific Grant Agreement 3 Multilevel Brain Organization and Variability |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1016/j.biopsych.2022.09.014 in citations.
This review focuses on cytoarchitectonics and receptor architectonics as biological correlates of function and connectivity. It introduces the 3-dimensional cytoarchitectonic probabilistic maps of cortical areas and nuclei of the Julich-Brain Atlas, available at EBRAINS, to study structure-function relationships. The maps are linked to the BigBrain as microanatomical reference model and template space. The siibra software tool suite enables programmatic access to the maps and to receptor architectonic data that are anchored to brain areas. Such cellular and molecular data are tools for studying magnetic resonance connectivity including modeling and simulation. At the end, we highlight perspectives of the Julich-Brain as well as methodological considerations. Thus, microstructural maps as part of a multimodal atlas help elucidate the biological correlates of large-scale networks and brain function with a high level of anatomical detail, which provides a basis to study brains of patients with psychiatric disorders. |