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000878160 1001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b0$$eCorresponding author$$ufzj
000878160 245__ $$aJulich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture
000878160 260__ $$aCambridge, Mass.$$bMoses King$$c2020
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000878160 520__ $$aCytoarchitecture is a basic principle of microstructural brain parcellation. We introduce Julich-Brain, a three-dimensional atlas containing cytoarchitectonic maps of cortical areas and subcortical nuclei. The atlas is probabilistic, which enables it to account for variations between individual brains. Building such an atlas was highly data- and labor-intensive and required the development of nested, interdependent workflows for detecting borders between brain areas, data processing, provenance tracking, and flexible execution of processing chains to handle large amounts of data at different spatial scales. Full cortical coverage was achieved by the inclusion of gap maps to complement cortical maps. The atlas is dynamic and will be adapted as mapping progresses; it is openly available to support neuroimaging studies as well as modeling and simulation; and it is interoperable, enabling connection to other atlases and resources.
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000878160 536__ $$0G:(DE-Juel1)jinm10_20190501$$aUltra-high resolution 3D models of the human brain for the European Flagship Human Brain Project (jinm10_20190501)$$cjinm10_20190501$$fUltra-high resolution 3D models of the human brain for the European Flagship Human Brain Project$$x5
000878160 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$eCorresponding author$$ufzj
000878160 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$ufzj
000878160 7001_ $$0P:(DE-Juel1)131714$$aZilles, Karl$$b3$$ufzj
000878160 773__ $$0PERI:(DE-600)2066996-3$$a10.1126/science.abb4588$$n6506$$p988-992$$tScience$$v369$$x0036-8075$$y2020
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