001034464 001__ 1034464
001034464 005__ 20241218210704.0
001034464 0247_ $$2doi$$a10.25493/T1N3-KCX
001034464 037__ $$aFZJ-2024-07230
001034464 1001_ $$0P:(DE-Juel1)184804$$aOberstraß, Alexander$$b0$$eCorresponding author$$ufzj
001034464 245__ $$aDeep texture features for surface-based characterization of fiber architecture in the human hippocampus (v1)
001034464 260__ $$bEBRAINS$$c2024
001034464 3367_ $$2BibTeX$$aMISC
001034464 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1734523238_24844
001034464 3367_ $$026$$2EndNote$$aChart or Table
001034464 3367_ $$2DataCite$$aDataset
001034464 3367_ $$2ORCID$$aDATA_SET
001034464 3367_ $$2DINI$$aResearchData
001034464 520__ $$aThis dataset contains deep texture features characterizing architectonic patterns of the pyramidal layer in the hippocampal cornu Ammonis region and the subicular complex, as captured by three-dimensional polarized light imaging (3D-PLI). The 3D-PLI measurements were obtained from 547 individual brain sections of the right hippocampus of an 87-year-old male. Texture features were extracted from 3D-PLI images using a width-reduced ResNet-50 encoder trained on a 3D-Context Contrastive Learning (CL-3D) objective. The features were aggregated along the full depth of the pyramidal layer and transformed into an unfolded coordinate space using HippUnfold. In addition, we provide projections of the feature vectors onto 52 principal components with largest explained variance. These components reflect the general regional organization and reveal an expected functional rostro-caudal heterogeneity of the pyramidal layer. By transferring features to an unfolded coordinate system using HippUnfold, the data are placed in a canonical reference space, enabling comparisons with other unfolded datasets. Moreover, we provide unfolded surfaces for both the MNI ICBM 152 Nonlinear Asymmetric 2009c and the BigBrain histological space, allowing access to the features within these volumetric reference spaces as well.
001034464 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001034464 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x1
001034464 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x2
001034464 536__ $$0G:(EU-Grant)101147319$$aEBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319)$$c101147319$$fHORIZON-INFRA-2022-SERV-B-01$$x3
001034464 588__ $$aDataset connected to DataCite
001034464 650_7 $$2Other$$aNeuroscience
001034464 7001_ $$aDeKraker, Jordan$$b1
001034464 7001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b2$$ufzj
001034464 7001_ $$aMuenzing, Sascha E. A.$$b3
001034464 7001_ $$aEvans, Alan C.$$b4
001034464 7001_ $$0P:(DE-Juel1)131632$$aAxer, Markus$$b5$$ufzj
001034464 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b6$$ufzj
001034464 7001_ $$0P:(DE-Juel1)165746$$aDickscheid, Timo$$b7$$eCorresponding author$$ufzj
001034464 773__ $$a10.25493/T1N3-KCX
001034464 909CO $$ooai:juser.fz-juelich.de:1034464$$popenaire$$pVDB$$pec_fundedresources
001034464 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)184804$$aForschungszentrum Jülich$$b0$$kFZJ
001034464 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131701$$aForschungszentrum Jülich$$b2$$kFZJ
001034464 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131632$$aForschungszentrum Jülich$$b5$$kFZJ
001034464 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b6$$kFZJ
001034464 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165746$$aForschungszentrum Jülich$$b7$$kFZJ
001034464 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$$x0
001034464 9141_ $$y2024
001034464 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001034464 980__ $$adataset
001034464 980__ $$aVDB
001034464 980__ $$aI:(DE-Juel1)INM-1-20090406
001034464 980__ $$aUNRESTRICTED