001     1034495
005     20241218210704.0
024 7 _ |a 10.25493/XSMK-5J2
|2 doi
037 _ _ |a FZJ-2024-07261
100 1 _ |a Niu, Meiqi
|0 P:(DE-Juel1)171512
|b 0
|e Corresponding author
|u fzj
245 _ _ |a 3D cyto- and receptor architectonic map of macaque somatosensory area PVl (v1.0)
260 _ _ |c 2024
|b EBRAINS
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Dataset
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|s 1734522573_24848
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336 7 _ |a Chart or Table
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336 7 _ |a Dataset
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336 7 _ |a DATA_SET
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336 7 _ |a ResearchData
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520 _ _ |a A multimodal analysis of the macaque somatosensory cortex was carried out to create a 3D atlas integrating and reconciling discrepancies between previously published maps. This project involved a quantitative and statistically testable approach to the analysis of cyto-/myeloarchitecture in the macaque monkey somatosensory cortex, in combination with an in vitro quantitative receptor autoradiographic analysis of the regional and laminar distribution patterns of 14 different neurotransmitter receptors. The borders of the identified areas were traced onto the macaque stereotaxic space provided by the MEBRAINS and Yerkes 19 templates. We provide here for the first time a map of area PVl of the macaque monkey brain integrating cyto-, myelo- and receptor architectonic features in stereotaxic space. It constitutes a valuable resource for the analysis of functional experiments with non-human primates, and provides crucial data for modeling approaches with realistic synaptic dynamics.
536 _ _ |a 5254 - Neuroscientific Data Analytics and AI (POF4-525)
|0 G:(DE-HGF)POF4-5254
|c POF4-525
|f POF IV
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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 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
588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Neuroscience
|2 Other
700 1 _ |a Rapan, Lucija
|b 1
700 1 _ |a Funck, Thomas
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Wang, Haiyan
|b 3
700 1 _ |a Palomero-Gallagher, Nicola
|0 P:(DE-Juel1)131701
|b 4
|e Corresponding author
|u fzj
773 _ _ |a 10.25493/XSMK-5J2
909 C O |o oai:juser.fz-juelich.de:1034495
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|v Decoding Brain Organization and Dysfunction
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914 1 _ |y 2024
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
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980 _ _ |a I:(DE-Juel1)INM-1-20090406
980 _ _ |a UNRESTRICTED


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