000916260 001__ 916260
000916260 005__ 20221222131700.0
000916260 0247_ $$2doi$$a10.25493/GHKB-K1K
000916260 037__ $$aFZJ-2022-06061
000916260 1001_ $$0P:(DE-Juel1)131650$$aKedo, O.$$b0$$ufzj
000916260 245__ $$aProbabilistic map of the Lamella medialis of the internal medial fiber masses of the amygdala (MF.lm) (v8.2)
000916260 260__ $$bEBRAINS$$c2022
000916260 3367_ $$2BibTeX$$aMISC
000916260 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1671698742_15336
000916260 3367_ $$026$$2EndNote$$aChart or Table
000916260 3367_ $$2DataCite$$aDataset
000916260 3367_ $$2ORCID$$aDATA_SET
000916260 3367_ $$2DINI$$aResearchData
000916260 520__ $$aThis dataset MF.lm contains the distinct the Lamella medialis (lm) of the internal medial fiber masses of the amygdala (MF) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the Lamella medialis was identified on the basis of the topographic location of these fibers in relation to the cytoarchitectonic subdivisions of the amygdala in cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to MF.lm. The probability map of MF.lm is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures [Amunts et. al. 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of MF.lm is a part of the internal medial fiber masses of the amygdala (MF) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including fibers MF.lm.
000916260 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916260 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916260 588__ $$aDataset connected to DataCite
000916260 650_7 $$2Other$$aNeuroscience
000916260 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916260 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$ufzj
000916260 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3$$ufzj
000916260 773__ $$a10.25493/GHKB-K1K
000916260 909CO $$ooai:juser.fz-juelich.de:916260$$popenaire$$pVDB$$pec_fundedresources
000916260 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131650$$aForschungszentrum Jülich$$b0$$kFZJ
000916260 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
000916260 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b2$$kFZJ
000916260 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b3$$kFZJ
000916260 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5251$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000916260 9141_ $$y2022
000916260 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000916260 980__ $$adataset
000916260 980__ $$aVDB
000916260 980__ $$aI:(DE-Juel1)INM-1-20090406
000916260 980__ $$aUNRESTRICTED