Home > Publications database > Probabilistic cytoarchitectonic map of Area SFG4 (SFG) (v4.0) > print |
001 | 1034444 | ||
005 | 20241218210704.0 | ||
024 | 7 | _ | |a 10.25493/AEGJ-FDC |2 doi |
037 | _ | _ | |a FZJ-2024-07210 |
100 | 1 | _ | |a Bruno, Ariane |0 P:(DE-Juel1)173629 |b 0 |e Corresponding author |u fzj |
245 | _ | _ | |a Probabilistic cytoarchitectonic map of Area SFG4 (SFG) (v4.0) |
260 | _ | _ | |c 2024 |b EBRAINS |
336 | 7 | _ | |a MISC |2 BibTeX |
336 | 7 | _ | |a Dataset |b dataset |m dataset |0 PUB:(DE-HGF)32 |s 1734522475_24844 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a Chart or Table |0 26 |2 EndNote |
336 | 7 | _ | |a Dataset |2 DataCite |
336 | 7 | _ | |a DATA_SET |2 ORCID |
336 | 7 | _ | |a ResearchData |2 DINI |
520 | _ | _ | |a This dataset contains the probabilistic map (PM) of area SFG4 of the superior frontal gyrus (Area SFG4 (SFG)) of the frontal lobe of the human brain. As part of the Julich-Brain Atlas (JBA), the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to common brain reference spaces, where each voxel was assigned the probability to belong to Area SFG4 (SFG). The PM of Area SFG4 (SFG) is provided in NifTi-1 format for each brain reference space and hemisphere. The JBA relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures that was described by [Amunts et al. in 2020](https://doi.org/10.1126/science.abb4588). Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. |
536 | _ | _ | |a 5254 - Neuroscientific Data Analytics and AI (POF4-525) |0 G:(DE-HGF)POF4-5254 |c POF4-525 |f POF IV |x 0 |
536 | _ | _ | |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |0 G:(EU-Grant)945539 |c 945539 |f H2020-SGA-FETFLAG-HBP-2019 |x 1 |
536 | _ | _ | |a HIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015) |0 G:(DE-HGF)InterLabs-0015 |c InterLabs-0015 |x 2 |
536 | _ | _ | |a EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319) |0 G:(EU-Grant)101147319 |c 101147319 |f HORIZON-INFRA-2022-SERV-B-01 |x 3 |
536 | _ | _ | |a JL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027) |0 G:(DE-Juel1)JL SMHB-2021-2027 |c JL SMHB-2021-2027 |x 4 |
588 | _ | _ | |a Dataset connected to DataCite |
650 | _ | 7 | |a Neuroscience |2 Other |
700 | 1 | _ | |a Lothmann, Kimberley |0 P:(DE-Juel1)196766 |b 1 |e Corresponding author |u fzj |
700 | 1 | _ | |a Mohlberg, Hartmut |0 P:(DE-Juel1)131660 |b 2 |u fzj |
700 | 1 | _ | |a Bludau, Sebastian |0 P:(DE-Juel1)131636 |b 3 |e Corresponding author |u fzj |
700 | 1 | _ | |a Amunts, Katrin |0 P:(DE-Juel1)131631 |b 4 |u fzj |
773 | _ | _ | |a 10.25493/AEGJ-FDC |
909 | C | O | |o oai:juser.fz-juelich.de:1034444 |p openaire |p VDB |p ec_fundedresources |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)173629 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)196766 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)131660 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)131636 |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)131631 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5254 |x 0 |
914 | 1 | _ | |y 2024 |
920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
980 | _ | _ | |a dataset |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
980 | _ | _ | |a UNRESTRICTED |
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