000916304 001__ 916304
000916304 005__ 20221222131700.0
000916304 0247_ $$2doi$$a10.25493/EH7J-NP0
000916304 037__ $$aFZJ-2022-06105
000916304 1001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b0$$ufzj
000916304 245__ $$aGapMap Frontal to Occipital (v11.4)
000916304 260__ $$bEBRAINS$$c2022
000916304 3367_ $$2BibTeX$$aMISC
000916304 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1671698814_15336
000916304 3367_ $$026$$2EndNote$$aChart or Table
000916304 3367_ $$2DataCite$$aDataset
000916304 3367_ $$2ORCID$$aDATA_SET
000916304 3367_ $$2DINI$$aResearchData
000916304 520__ $$aThis dataset contains the “GapMap Frontal to Occipital” 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 Occipital”. 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 Occipital” 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 Occipital” with progress in mapping.
000916304 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916304 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916304 588__ $$aDataset connected to DataCite
000916304 650_7 $$2Other$$aNeuroscience
000916304 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916304 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$ufzj
000916304 7001_ $$0P:(DE-Juel1)131666$$aPieperhoff, Peter$$b3$$ufzj
000916304 773__ $$a10.25493/EH7J-NP0
000916304 909CO $$ooai:juser.fz-juelich.de:916304$$popenaire$$pVDB$$pec_fundedresources
000916304 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b0$$kFZJ
000916304 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
000916304 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b2$$kFZJ
000916304 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131666$$aForschungszentrum Jülich$$b3$$kFZJ
000916304 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$$x0
000916304 9141_ $$y2022
000916304 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000916304 980__ $$adataset
000916304 980__ $$aVDB
000916304 980__ $$aI:(DE-Juel1)INM-1-20090406
000916304 980__ $$aUNRESTRICTED