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| Home > Publications database > Density measurements of different receptors for dorsal part of Area hOc3 (Cuneus) [human, v1.0] > print |
| 001 | 888011 | ||
| 005 | 20210130010728.0 | ||
| 024 | 7 | _ | |a 10.25493/4ETW-9XB |2 doi |
| 037 | _ | _ | |a FZJ-2020-04589 |
| 100 | 1 | _ | |a Palomero-Gallagher, Nicola |0 P:(DE-Juel1)131701 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a Density measurements of different receptors for dorsal part of Area hOc3 (Cuneus) [human, v1.0] |
| 260 | _ | _ | |c 2020 |b EBRAINS |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Dataset |b dataset |m dataset |0 PUB:(DE-HGF)32 |s 1605798491_32252 |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 densities (in fmol/mg protein) of receptors for classical neurotransmitters in the dorsal part of Area hOc3 (Cuneus) obtained by means of quantitative _in vitro_ autoradiography. The receptor densities are visualized as _fingerprints_ (**fp**), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Overview of available measurements [ **receptor** \| **_neurotransmitter_** \| _labeling agent_ ]: **AMPA** \| **_glutamate_** \| _[3H]AMPA_ **kainate** \| **_glutamate_** \| _[3H]kainate_ **NMDA** \| **_glutamate_** \| _[3H]MK-801_ **GABAA** \| **_GABA_** \| _[3H]muscimol_ **GABAB** \| **_GABA_** \| _[3H]CGP54626_ **GABAA/BZ** \| **_GABA_** \| _[3H]flumazenil_ **muscarinic M1** \| **_acetylcholine_** \| _[3H]pirenzepine_ **muscarinic M2** \| **_acetylcholine_** \| _[3H]oxotremorine-M_ **muscarinic M3** \| **_acetylcholine_** \| _[3H]4-DAMP_ **nicotinic α4β2** \| **_acetylcholine_** \| _[3H]epibatidine_ **α1** \| **_noradrenalin/norepinephrine_** \| _[3H]prazosin_ **α2** \| **_noradrenalin/norepinephrine_** \| _[3H]UK-14,304_ **5-HT1A** \| **_serotonin_** \| _[3H]8-OH-DPAT_ **5-HT2** \| **_serotonin_** \| _[3H]ketanserin_ **D1** \| **_dopamine_** \| _[3H]SCH23390_ For exemplary samples, we also provide laminar _profiles_ (**pr**) and/or color-coded laminar _autoradiography_ images (**ar**). The density profiles provide, for a single tissue sample, an exemplary density distribution for a single receptor from the pial surface to the border between layer VI and the white matter. The autoradiography images show an exemplary density distribution of a single receptor for one laminar cross-section in a single tissue sample. Information on the used tissue samples and corresponding subjects for the receptor fingerprints, profiles and autoradiographs as well as a list of analyzed receptors accompanies the provided dataset. **For methodological details, see:** Zilles, K. et al. (2002). Quantitative analysis of cyto- and receptorarchitecture of the human brain, pp. 573-602. In: Brain Mapping: The Methods, 2nd edition (A.W. Toga and J.C. Mazziotta, eds.). San Diego, Academic Press. Palomero-Gallagher N, Zilles K. (2018) Cyto- and receptorarchitectonic mapping of the human brain. In: Handbook of Clinical Neurology 150: 355-387 |
| 536 | _ | _ | |a 574 - Theory, modelling and simulation (POF3-574) |0 G:(DE-HGF)POF3-574 |c POF3-574 |f POF III |x 0 |
| 536 | _ | _ | |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) |0 G:(EU-Grant)785907 |c 785907 |f H2020-SGA-FETFLAG-HBP-2017 |x 1 |
| 536 | _ | _ | |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |0 G:(EU-Grant)945539 |c 945539 |x 2 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 700 | 1 | _ | |a Zilles, Karl |0 P:(DE-Juel1)131714 |b 1 |u fzj |
| 773 | _ | _ | |a 10.25493/4ETW-9XB |
| 909 | C | O | |o oai:juser.fz-juelich.de:888011 |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)131701 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)131714 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-574 |2 G:(DE-HGF)POF3-500 |v Theory, modelling and simulation |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2020 |
| 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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