000856633 001__ 856633 000856633 005__ 20210129235337.0 000856633 0247_ $$2doi$$a10.1038/s41583-018-0071-7 000856633 0247_ $$2ISSN$$a1097-6256 000856633 0247_ $$2ISSN$$a1471-003X 000856633 0247_ $$2ISSN$$a1471-0048 000856633 0247_ $$2ISSN$$a1546-1726 000856633 0247_ $$2pmid$$apmid:30305712 000856633 0247_ $$2WOS$$aWOS:000447633900009 000856633 0247_ $$2Handle$$a2128/21475 000856633 0247_ $$2altmetric$$aaltmetric:49516653 000856633 037__ $$aFZJ-2018-05998 000856633 082__ $$a570 000856633 1001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b0$$eCorresponding author$$ufzj 000856633 245__ $$aImaging-based parcellations of the human brain 000856633 260__ $$aLondon$$bNature Publ. Group$$c2018 000856633 3367_ $$2DRIVER$$aarticle 000856633 3367_ $$2DataCite$$aOutput Types/Journal article 000856633 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1540388794_26057 000856633 3367_ $$2BibTeX$$aARTICLE 000856633 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000856633 3367_ $$00$$2EndNote$$aJournal Article 000856633 520__ $$aA defining aspect of brain organization is its spatial heterogeneity, which gives rise to multiple topographies at different scales. Brain parcellation - defining distinct partitions in the brain, be they areas or networks that comprise multiple discontinuous but closely interacting regions - is thus fundamental for understanding brain organization and function. The past decade has seen an explosion of in vivo MRI-based approaches to identify and parcellate the brain on the basis of a wealth of different features, ranging from local properties of brain tissue to long-range connectivity patterns, in addition to structural and functional markers. Given the high diversity of these various approaches, assessing the convergence and divergence among these ensuing maps is a challenge. Inter-individual variability adds to this challenge but also provides new opportunities when coupled with cross-species and developmental parcellation studies. 000856633 536__ $$0G:(DE-HGF)POF3-571$$a571 - Connectivity and Activity (POF3-571)$$cPOF3-571$$fPOF III$$x0 000856633 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1 000856633 536__ $$0G:(EU-Grant)720270$$aHBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270)$$c720270$$fH2020-Adhoc-2014-20$$x2 000856633 588__ $$aDataset connected to CrossRef 000856633 7001_ $$00000-0002-0119-3276$$aYeo, B. T. Thomas$$b1 000856633 7001_ $$0P:(DE-Juel1)161225$$aGenon, Sarah$$b2$$ufzj 000856633 773__ $$0PERI:(DE-600)2028902-9$$a10.1038/s41583-018-0071-7$$gVol. 19, no. 11, p. 672 - 686$$n11$$p672 - 686$$tNature reviews / Neuroscience Neuroscience [...]$$v19$$x1471-0048$$y2018 000856633 8564_ $$uhttps://juser.fz-juelich.de/record/856633/files/Eickhoff18.pdf$$yRestricted 000856633 8564_ $$uhttps://juser.fz-juelich.de/record/856633/files/Eickhoff18.pdf?subformat=pdfa$$xpdfa$$yRestricted 000856633 8564_ $$uhttps://juser.fz-juelich.de/record/856633/files/Eickhoff_Yeo_Genon_NRN_MainManuscriptInclFigures.pdf$$yPublished on 2018-10-09. 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