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| Hauptseite > Publikationsdatenbank > BigBrain2 3D whole brain model (v1) > print |
| 001 | 1048769 | ||
| 005 | 20251202203138.0 | ||
| 024 | 7 | _ | |a 10.25493/81J8-0G9 |2 doi |
| 037 | _ | _ | |a FZJ-2025-04884 |
| 100 | 1 | _ | |a Lepage, Claude |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a BigBrain2 3D whole brain model (v1) |
| 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 1764676870_26251 |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 BigBrain2 whole-brain model, a 3D reconstruction at 20µm resolution from digital scans of 7676 coronal histological sections of the brain of a deceased 30 years old, male organ donor. The brain sections were stained for cell bodies using the same procedure as for the original BigBrain whole-brain model ([Amunts et al. 2013](https://doi.org/10.1126/science.1235381)). BigBrain2 will contribute new insight into inter-subject cytoarchitectonic variability. Due to technical advances, BigBrain2 offers better quality staining, favourable to regional segmentation and registration, and contains fewer artifacts through sectioning and staining than the original BigBrain. Same as the original BigBrain, its native space can be used as a common coordinate space (full name: BigBrain2 whole-brain model; short name: BigBrain2; abbreviation: BB2; version: 1.0) to anatomical anchor data at high resolution. An additional image registration of BigBrain2 to the MNI ICBM152 Average Brain Stereotaxic Registration Model (short name: MNI152; version: 2009c, nonlinear, asymmetric) preserves comparability to functional imaging studies. |
| 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 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 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 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |a Neuroscience |2 Other |
| 700 | 1 | _ | |a Mohlberg, Hartmut |0 P:(DE-Juel1)131660 |b 1 |e Corresponding author |u fzj |
| 700 | 1 | _ | |a Lewis, Lindsay B. |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Toussaint, Paule-Joanne |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Wenzel, Susanne |0 P:(DE-Juel1)174282 |b 4 |u fzj |
| 700 | 1 | _ | |a Evans, Alan C. |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Amunts, Katrin |0 P:(DE-Juel1)131631 |b 6 |u fzj |
| 773 | _ | _ | |a 10.25493/81J8-0G9 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1048769 |p openaire |p VDB |p ec_fundedresources |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)131660 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)174282 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 6 |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 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 |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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