000916248 001__ 916248
000916248 005__ 20221221131716.0
000916248 0247_ $$2doi$$a10.25493/C6C6-CVH
000916248 037__ $$aFZJ-2022-06049
000916248 1001_ $$0P:(DE-Juel1)131650$$aKedo, O.$$b0$$eCorresponding author$$ufzj
000916248 245__ $$aProbabilistic map of the anterior amygdaloid area of the centromedial amygdala (CM.AAA) (v8.2)
000916248 260__ $$bEBRAINS$$c2022
000916248 3367_ $$2BibTeX$$aMISC
000916248 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1671602286_30090
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000916248 3367_ $$2DataCite$$aDataset
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000916248 520__ $$aThis dataset CM.AAA contains the distinct cytoarchitectonic subdivision, anterior amygdaloid area (AAA), of the centromedial amygdaloid group (CM) 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 anterior amygdaloid area 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 CM.AAA. The probability map of CM.AAA 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 (e.g. AAA was previously assigned to the superficial amygdala group). Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of area CM.AAA is part of the centromedial amygdaloid group (CM), 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 CM.AAA.
000916248 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916248 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916248 588__ $$aDataset connected to DataCite
000916248 650_7 $$2Other$$aNeuroscience
000916248 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916248 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$ufzj
000916248 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3$$ufzj
000916248 773__ $$a10.25493/C6C6-CVH
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000916248 9141_ $$y2022
000916248 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
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