Description: Probabilistic cytoarchitectonic map of the medial part of the nucleus accumbens (AcbM, ventral Striatum, Telencephalon) (v5.0)

This title appears in the Scientific Report : 2022

Probabilistic cytoarchitectonic map of the medial part of the nucleus accumbens (AcbM, ventral Striatum, Telencephalon) (v5.0)

This dataset contains cytoarchitectonic probability maps of the medial part of the nucleus accumbens (AcbM, ventral Striatum, Telencephalon) containing delineations for in the individual in the single subject template of the MNI Colin 27 and the MNI ICBM 152 reference space, as part of the Julich-Br...

Personal Name(s):	Brandstetter, Andrea
	Mohlberg, Hartmut / Bludau, Sebastian / Amunts, Katrin
Contributing Institute:	Strukturelle und funktionelle Organisation des Gehirns; INM-1
Imprint:	EBRAINS 2022
DOI:	10.25493/WZSZ-V7Y
Document Type:	Dataset
Research Program:	Human Brain Project Specific Grant Agreement 3 Multilevel Brain Organization and Variability
Subject (ZB):	Neuroscience
	Publikationsportal JuSER

Please use the identifier: http://dx.doi.org/10.25493/WZSZ-V7Y in citations.

This dataset contains cytoarchitectonic probability maps of the medial part of the nucleus accumbens (AcbM, ventral Striatum, Telencephalon) containing delineations for in the individual in the single subject template of the MNI Colin 27 and the MNI ICBM 152 reference space, as part of the Julich-Brain atlas. The nucleus was identified using cytoarchitectonic analysis on cell-body-stained histological sections of ten human postmortem brains obtained from the body donor program of the University of Düsseldorf. The maps show the probability of each voxel belonging to the medial part of the nucleus accumbens (AcbM, ventral Striatum, Telencephalon)in the reference spaces. The dataset is provided in the NifTi format. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.