000916949 001__ 916949
000916949 005__ 20230123101914.0
000916949 0247_ $$2doi$$a10.25493/F9Y0-1D0
000916949 037__ $$aFZJ-2023-00215
000916949 1001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b0$$ufzj
000916949 245__ $$aGapMap Frontal to Temporal II (v11.4)
000916949 260__ $$bEBRAINS$$c2022
000916949 3367_ $$2BibTeX$$aMISC
000916949 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1673253646_16301
000916949 3367_ $$026$$2EndNote$$aChart or Table
000916949 3367_ $$2DataCite$$aDataset
000916949 3367_ $$2ORCID$$aDATA_SET
000916949 3367_ $$2DINI$$aResearchData
000916949 520__ $$aThis dataset contains the “GapMap Frontal to Temporal II' 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 Frontal to Temporal II”. 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 Frontal to Temporal II” 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 Frontal to Temporal II” with progress in mapping.
000916949 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916949 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916949 588__ $$aDataset connected to DataCite
000916949 650_7 $$2Other$$aNeuroscience
000916949 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916949 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$ufzj
000916949 7001_ $$0P:(DE-Juel1)131666$$aPieperhoff, Peter$$b3$$ufzj
000916949 773__ $$a10.25493/F9Y0-1D0
000916949 909CO $$ooai:juser.fz-juelich.de:916949$$pec_fundedresources$$pVDB$$popenaire
000916949 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b0$$kFZJ
000916949 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
000916949 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b2$$kFZJ
000916949 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131666$$aForschungszentrum Jülich$$b3$$kFZJ
000916949 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$$x0
000916949 9141_ $$y2022
000916949 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000916949 980__ $$adataset
000916949 980__ $$aVDB
000916949 980__ $$aI:(DE-Juel1)INM-1-20090406
000916949 980__ $$aUNRESTRICTED