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| 001 | 1018263 | ||
| 005 | 20250728202331.0 | ||
| 024 | 7 | _ | |a 10.25493/5454-ZEA |2 doi |
| 037 | _ | _ | |a FZJ-2023-04659 |
| 100 | 1 | _ | |a Balan, Puiu F. |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a MEBRAINS: a new population-based monkey template (v1.0) |
| 260 | _ | _ | |c 2023 |b EBRAINS |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Dataset |b dataset |m dataset |0 PUB:(DE-HGF)32 |s 1753699991_27683 |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 An important limitation of existing anatomical templates for the macaque brain is their reliance on one subject and/or on unimodality (usually T1 images). The MEBRAINS template overcomes this limitation. It is constructed using the multi-brain toolbox for SPM12 and represents a population average of T1- and T2-weighted MRI scans from 10 macaque brains. In addition, 9 CT scans of the same monkeys (one missing) are registered to the T1 modality and co-registered to the population average. Through its main features (multi-subject based, multi-modal, volume-and-surface), MEBRAINS represents an essential step towards the integration of multi-level macaque data, fulfilling a similar role as the EBRAINS multilevel Human Brain Atlas. |
| 536 | _ | _ | |a 5251 - Multilevel Brain Organization and Variability (POF4-525) |0 G:(DE-HGF)POF4-5251 |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 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |a Neuroscience |2 Other |
| 700 | 1 | _ | |a Zhu, Qi |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Li, Xiaolian |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Bakker, Rembrandt |0 P:(DE-Juel1)145578 |b 3 |
| 700 | 1 | _ | |a Palomero-Gallagher, Nicola |0 P:(DE-Juel1)131701 |b 4 |
| 700 | 1 | _ | |a Vanduffel, Wim |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Vanduffel, Wim |0 P:(DE-HGF)0 |b 6 |
| 773 | _ | _ | |a 10.25493/5454-ZEA |
| 909 | C | O | |o oai:juser.fz-juelich.de:1018263 |p openaire |p VDB |p ec_fundedresources |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)145578 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)131701 |
| 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)POF4-5251 |x 0 |
| 914 | 1 | _ | |y 2023 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-6-20090406 |k INM-6 |l Computational and Systems Neuroscience |x 1 |
| 980 | _ | _ | |a dataset |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
| 980 | _ | _ | |a I:(DE-Juel1)INM-6-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
| 981 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
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