000916952 001__ 916952
000916952 005__ 20230123101914.0
000916952 0247_ $$2doi$$a10.25493/37FB-5CA
000916952 037__ $$aFZJ-2023-00218
000916952 1001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b0$$ufzj
000916952 245__ $$aGapMap Temporal to Parietal (v11.4)
000916952 260__ $$bEBRAINS$$c2022
000916952 3367_ $$2BibTeX$$aMISC
000916952 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1673255347_6371
000916952 3367_ $$026$$2EndNote$$aChart or Table
000916952 3367_ $$2DataCite$$aDataset
000916952 3367_ $$2ORCID$$aDATA_SET
000916952 3367_ $$2DINI$$aResearchData
000916952 520__ $$aThis dataset contains the “GapMap Temporal to Parietal' in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. In order to provide whole-brain coverage for the cortex within the Julich-Brain Atlas, yet uncharted parts of the frontal cortex have been combined to the brain region “GapMap Temporal to Parietal”. The distributions were modeled so that probabilistic gap maps were computed in analogy to other maps of the Julich-Brain Atlas. The probabilistic map of “GapMap Temporal to Parietal” is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. New maps are continuously replacing parts of “GapMap Temporal to Parietal” with progress in mapping.
000916952 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916952 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916952 588__ $$aDataset connected to DataCite
000916952 650_7 $$2Other$$aNeuroscience
000916952 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916952 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$ufzj
000916952 7001_ $$0P:(DE-Juel1)131666$$aPieperhoff, Peter$$b3$$ufzj
000916952 773__ $$a10.25493/37FB-5CA
000916952 909CO $$ooai:juser.fz-juelich.de:916952$$pec_fundedresources$$pVDB$$popenaire
000916952 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b0$$kFZJ
000916952 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
000916952 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b2$$kFZJ
000916952 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131666$$aForschungszentrum Jülich$$b3$$kFZJ
000916952 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$$x0
000916952 9141_ $$y2022
000916952 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000916952 980__ $$adataset
000916952 980__ $$aVDB
000916952 980__ $$aI:(DE-Juel1)INM-1-20090406
000916952 980__ $$aUNRESTRICTED