PuSH - Publication Server of Helmholtz Zentrum München

Zachlod, D.* ; Palomero-Gallagher, N.* ; Dickscheid, T.* ; Amunts, K.*

Mapping Cytoarchitectonics and Receptor Architectonics to Understand Brain Function and Connectivity.

Biol. Psychiatry 93, 471-479 (2022)
Postprint DOI
Open Access Green
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Altmetric
12.810
2.957
1
Tags
Annotations
Special Publikation
Hide on homepage

Edit extra information
Edit own tags
Private
Edit own annotation
Private
Hide on publication lists
on hompage
Mark as special
publikation
Publication type Article: Journal article
Document type Review
Keywords Allen Brain Atlas ; Bigbrain ; Brain Atlas ; Brain Imaging ; Julich-brain ; Probabilistic Maps; Surface-based Analysis; Network; Cortex; Areas; Maps
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 0006-3223
e-ISSN 1873-2402
Quellenangaben Volume: 93, Issue: 5, Pages: 471-479 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place Ste 800, 230 Park Ave, New York, Ny 10169 Usa
Reviewing status Peer reviewed
Institute(s) Helmholtz AI - FZJ (HAI - FZJ)
Grants Joint Lab Supercomputing and Modeling for the Human Brain
European Union
Scopus ID 85144953220
Erfassungsdatum 2023-01-09