{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T04:24:42Z","timestamp":1792815882784,"version":"4.5.0"},"reference-count":56,"publisher":"American Association for the Advancement of Science (AAAS)","issue":"6506","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Science"],"published-print":{"date-parts":[[2020,8,21]]},"abstract":"<jats:title>A present-day atlas of the human brain<\/jats:title>\n                  <jats:p>\n                    Defining brain regions and demarking their spatial extent are important goals in neuroscience. A modern map of the brain's cellular structure, a cytoarchitectonic atlas, should provide maps of areas in three dimensions, integrate recent knowledge about brain parcellation, consider variations between individual brains, rely on reproducible workflows, and provide web-based links to other resources and databases. Amunts\n                    <jats:italic>et al.<\/jats:italic>\n                    created such an atlas based on serial histological sections of brain. They developed a computational framework and refined the current boundaries of the human brain based on cytoarchitectural patterns. This technique can easily be transferred to build brain atlases for other species or a spatial framework for other organs, other modalities, or multimodal maps for regions of interest at higher spatial scales. This research makes similar future attempts simultaneously reproducible and flexible.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:italic>Science<\/jats:italic>\n                    , this issue p.\n                    <jats:related-article xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"doi\" issue=\"6506\" page=\"988\" related-article-type=\"in-this-issue\" vol=\"369\" xlink:href=\"10.1126\/science.abb4588\">988<\/jats:related-article>\n                  <\/jats:p>","DOI":"10.1126\/science.abb4588","type":"journal-article","created":{"date-parts":[[2020,12,2]],"date-time":"2020-12-02T13:22:22Z","timestamp":1606915342000},"page":"988-992","source":"Crossref","is-referenced-by-count":636,"title":["Julich-Brain: A 3D probabilistic atlas of the human brain\u2019s cytoarchitecture"],"prefix":"10.1126","volume":"369","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5828-0867","authenticated-orcid":true,"given":"Katrin","family":"Amunts","sequence":"first","affiliation":[{"name":"Institute of Neuroscience and Medicine (INM-1), Research Centre J\u00fclich, J\u00fclich, Germany."},{"name":"C. and O. Vogt Institute for Brain Research, University Hospital D\u00fcsseldorf, Heinrich Heine University D\u00fcsseldorf, D\u00fcsseldorf, Germany."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7040-3812","authenticated-orcid":true,"given":"Hartmut","family":"Mohlberg","sequence":"additional","affiliation":[{"name":"Institute of Neuroscience and Medicine (INM-1), Research Centre J\u00fclich, J\u00fclich, Germany."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6173-9050","authenticated-orcid":true,"given":"Sebastian","family":"Bludau","sequence":"additional","affiliation":[{"name":"Institute of Neuroscience and Medicine (INM-1), Research Centre J\u00fclich, J\u00fclich, Germany."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4705-4175","authenticated-orcid":true,"given":"Karl","family":"Zilles","sequence":"additional","affiliation":[{"name":"Institute of Neuroscience and Medicine (INM-1), Research Centre J\u00fclich, J\u00fclich, Germany."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"221","reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tins.2018.06.003"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2015.12.001"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tins.2018.06.003"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.01.036"},{"key":"e_1_3_2_6_2","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1007\/s00429-016-1228-7","article-title":"A map of the human neocortex showing the estimated overall myelin content of the individual architectonic areas based on the studies of Adolf Hopf","volume":"222","author":"Nieuwenhuys R.","year":"2016","unstructured":"R. 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