000916258 001__ 916258
000916258 005__ 20221221131717.0
000916258 0247_ $$2doi$$a10.25493/KEQ1-Z5S
000916258 037__ $$aFZJ-2022-06059
000916258 1001_ $$0P:(DE-Juel1)131650$$aKedo, O.$$b0$$ufzj
000916258 245__ $$aProbabilistic map of the intermediate caudomedial fiber masses of the internal medial fiber masses of the amygdala (MF.icm) (v8.2)
000916258 260__ $$bEBRAINS$$c2022
000916258 3367_ $$2BibTeX$$aMISC
000916258 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1671619003_31167
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000916258 3367_ $$2DataCite$$aDataset
000916258 3367_ $$2ORCID$$aDATA_SET
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000916258 520__ $$aThis dataset MF.icm contains the distinct the intermediate caudomedial fiber masses (icm) of the internal medial fiber masses of the amygdala (MF) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the intermediate caudomedial fiber masses were identified on the basis of the topographic location of these fibers in relation to the cytoarchitectonic subdivisions of the amygdala in cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to MF.icm. The probability map of MF.icm is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures [Amunts et. al. 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of MF.icm is a part of the internal medial fiber masses of the amygdala (MF) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including fibers MF.icm.
000916258 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916258 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916258 588__ $$aDataset connected to DataCite
000916258 650_7 $$2Other$$aNeuroscience
000916258 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916258 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$ufzj
000916258 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3$$ufzj
000916258 773__ $$a10.25493/KEQ1-Z5S
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000916258 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b3$$kFZJ
000916258 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$$x0
000916258 9141_ $$y2022
000916258 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
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000916258 980__ $$aI:(DE-Juel1)INM-1-20090406
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