000916950 001__ 916950
000916950 005__ 20230123101914.0
000916950 0247_ $$2doi$$a10.25493/TWNR-351
000916950 037__ $$aFZJ-2023-00216
000916950 1001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b0$$ufzj
000916950 245__ $$aGapMap Frontal to Temporal I (v11.4)
000916950 260__ $$bEBRAINS$$c2022
000916950 3367_ $$2BibTeX$$aMISC
000916950 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1673253658_16301
000916950 3367_ $$026$$2EndNote$$aChart or Table
000916950 3367_ $$2DataCite$$aDataset
000916950 3367_ $$2ORCID$$aDATA_SET
000916950 3367_ $$2DINI$$aResearchData
000916950 520__ $$aThis dataset contains the “GapMap Frontal to Temporal I' 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 I”. 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 I” 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 I” with progress in mapping.
000916950 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916950 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916950 588__ $$aDataset connected to DataCite
000916950 650_7 $$2Other$$aNeuroscience
000916950 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916950 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$ufzj
000916950 7001_ $$0P:(DE-Juel1)131666$$aPieperhoff, Peter$$b3$$ufzj
000916950 773__ $$a10.25493/TWNR-351
000916950 909CO $$ooai:juser.fz-juelich.de:916950$$pec_fundedresources$$pVDB$$popenaire
000916950 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b0$$kFZJ
000916950 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
000916950 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b2$$kFZJ
000916950 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131666$$aForschungszentrum Jülich$$b3$$kFZJ
000916950 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$$x0
000916950 9141_ $$y2022
000916950 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000916950 980__ $$adataset
000916950 980__ $$aVDB
000916950 980__ $$aI:(DE-Juel1)INM-1-20090406
000916950 980__ $$aUNRESTRICTED