001048395 001__ 1048395
001048395 005__ 20251127202204.0
001048395 0247_ $$2doi$$a10.25493/B4DF-8WF
001048395 037__ $$aFZJ-2025-04610
001048395 1001_ $$0P:(DE-Juel1)178766$$aKuckertz, Anika$$b0$$ufzj
001048395 245__ $$aParcellation scheme of rat iso- and proisocortical areas in Waxholm space (v1)
001048395 260__ $$bEBRAINS$$c2025
001048395 3367_ $$2BibTeX$$aMISC
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001048395 520__ $$aThe present dataset provides a three-dimensional (3D) map of the rat iso- and proisocortex anchored in the standardized coordinate system of the Waxholm rat brain space. The parcellation encompasses 53 distinct areas and is the result of a multimodal analysis based on the heterogeneous regional and laminar distribution patterns of cell bodies and of muscarinic acetylcholine M2 receptors visualized in 2D sections. The receptor autoradiographs of a rat brain serially sectioned in the coronal plane were 3D reconstructed and anchored in Waxholm space. The ensuing transformation matrices were then applied to the delineations of the identified areas on the corresponding 2D autoradiographs, resulting in the registration of the location and extent of each area to the 3D reference Waxholm Space of the rat brain. This novel parcellation scheme of the rat iso- and proisocortical areas provides a high-resolution reference resource for the architectonically informed analysis of in vivo data and computational modelling approaches of the rat brain. As a dynamic framework, the Waxholm Rat Brain Atlas can be expanded by data of e.g., further neurotransmitter receptor types and brain regions.
001048395 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001048395 588__ $$aDataset connected to DataCite
001048395 650_7 $$2Other$$aNeuroscience
001048395 7001_ $$0P:(DE-HGF)0$$aHaghir, Hossein$$b1
001048395 7001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b2$$ufzj
001048395 7001_ $$0P:(DE-Juel1)181092$$aFunck, Thomas$$b3$$ufzj
001048395 7001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b4$$eCorresponding author$$ufzj
001048395 773__ $$a10.25493/B4DF-8WF
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001048395 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)178766$$aForschungszentrum Jülich$$b0$$kFZJ
001048395 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131701$$aForschungszentrum Jülich$$b2$$kFZJ
001048395 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)181092$$aForschungszentrum Jülich$$b3$$kFZJ
001048395 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131701$$aForschungszentrum Jülich$$b4$$kFZJ
001048395 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)POF4-5254$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001048395 9141_ $$y2025
001048395 920__ $$lyes
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