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| Hauptseite > Publikationsdatenbank > Probabilistic cytoarchitectonic map of Area OTS1 (OTS) (v7.0) > print |
| Hauptseite > Publikationsdatenbank > Probabilistic cytoarchitectonic map of Area OTS1 (OTS) (v7.0) > print |
| 001 | 1048771 | ||
| 005 | 20251202203138.0 | ||
| 024 | 7 | _ | |a 10.25493/4ZAW-SFU |2 doi |
| 037 | _ | _ | |a FZJ-2025-04886 |
| 100 | 1 | _ | |a Dietermann, Manuel |0 P:(DE-Juel1)204262 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Probabilistic cytoarchitectonic map of Area OTS1 (OTS) (v7.0) |
| 260 | _ | _ | |c 2025 |b EBRAINS |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Dataset |b dataset |m dataset |0 PUB:(DE-HGF)32 |s 1764671176_26457 |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 OTS1 (OTS) of the anterior occipitotemporal sulcus 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 OTS1 (OTS). The PM of Area OTS1 (OTS) 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://www.science.org/doi/10.1126/science.abb4588). Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. |
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| 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 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 2 |
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| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |a Neuroscience |2 Other |
| 700 | 1 | _ | |a Mohlberg, Hartmut |0 P:(DE-Juel1)131660 |b 1 |u fzj |
| 700 | 1 | _ | |a Bludau, Sebastian |0 P:(DE-Juel1)131636 |b 2 |e Corresponding author |u fzj |
| 700 | 1 | _ | |a Amunts, Katrin |0 P:(DE-Juel1)131631 |b 3 |u fzj |
| 773 | _ | _ | |a 10.25493/4ZAW-SFU |
| 909 | C | O | |o oai:juser.fz-juelich.de:1048771 |p openaire |p VDB |p ec_fundedresources |
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| 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 2025 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
| 980 | _ | _ | |a dataset |
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