000916253 001__ 916253
000916253 005__ 20221221131716.0
000916253 0247_ $$2doi$$a10.25493/Z292-MB3
000916253 037__ $$aFZJ-2022-06054
000916253 1001_ $$0P:(DE-Juel1)131650$$aKedo, O.$$b0$$ufzj
000916253 245__ $$aProbabilistic map of the basolateral nucleus of the laterobasal group (LB.Bl) (v8.2)
000916253 260__ $$bEBRAINS$$c2022
000916253 3367_ $$2BibTeX$$aMISC
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000916253 3367_ $$2DataCite$$aDataset
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000916253 3367_ $$2DINI$$aResearchData
000916253 520__ $$aThis dataset LB.Bl contains the distinct cytoarchitectonic subdivision, basolateral nucleus (Bl) of the laterobasal amygdaloid group (LB), in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the basolateral nucleus was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to LB.Bl. The probability map of LB.Bl is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures [Amunts et. al 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of LB.Bl is part of the laterobasal amygdaloid group (LB) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including area LB.Bl.
000916253 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916253 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916253 588__ $$aDataset connected to DataCite
000916253 650_7 $$2Other$$aNeuroscience
000916253 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916253 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$ufzj
000916253 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3$$ufzj
000916253 773__ $$a10.25493/Z292-MB3
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000916253 9131_ $$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
000916253 9141_ $$y2022
000916253 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
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000916253 980__ $$aI:(DE-Juel1)INM-1-20090406
000916253 980__ $$aUNRESTRICTED