001034510 001__ 1034510
001034510 005__ 20241218210704.0
001034510 0247_ $$2doi$$a10.25493/XSGR-HXQ
001034510 037__ $$aFZJ-2024-07273
001034510 1001_ $$0P:(DE-Juel1)178766$$aKuckertz, Anika$$b0$$ufzj
001034510 245__ $$aMuscarinic acetylcholine M2 receptor densities in areas of the rat iso- and proisocortex (v1)
001034510 260__ $$bEBRAINS$$c2024
001034510 3367_ $$2BibTeX$$aMISC
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001034510 520__ $$aThe present dataset provides the densities of a key neuromodulatory molecule in signal transfer, namely the muscarinic acetylcholine M 2 receptor, in all isocortical and proisocortical areas of the rat brain. The agonistic binding site of the M 2 receptors were visualized by means of quantitative *in vitro* receptor autoradiography and the selective tritiated ligand oxotremorine-M following an established experimental protocol, and neighbouring sections were processed histologically for the visualization of cell bodies. Isocortical and proisocortical areas were identified based on cytoarchitectonic criteria and differences in the regional and laminar distribution of the M 2 receptor, and receptor densities quantified by densitometric analysis. We provide here the M 2 receptor densities of 48 architectonically distinct areas belonging to the entire rat iso- and proisocortex.
001034510 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001034510 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001034510 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x2
001034510 536__ $$0G:(EU-Grant)101147319$$aEBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319)$$c101147319$$fHORIZON-INFRA-2022-SERV-B-01$$x3
001034510 588__ $$aDataset connected to DataCite
001034510 650_7 $$2Other$$aNeuroscience
001034510 7001_ $$aHaghir, Hossein$$b1
001034510 7001_ $$0P:(DE-Juel1)131714$$aZilles, Karl$$b2
001034510 7001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b3$$eCorresponding author$$ufzj
001034510 773__ $$a10.25493/XSGR-HXQ
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001034510 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)178766$$aForschungszentrum Jülich$$b0$$kFZJ
001034510 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131701$$aForschungszentrum Jülich$$b3$$kFZJ
001034510 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5251$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001034510 9141_ $$y2024
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001034510 980__ $$aI:(DE-Juel1)INM-1-20090406
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