001     856633
005     20210129235337.0
024 7 _ |a 10.1038/s41583-018-0071-7
|2 doi
024 7 _ |a 1097-6256
|2 ISSN
024 7 _ |a 1471-003X
|2 ISSN
024 7 _ |a 1471-0048
|2 ISSN
024 7 _ |a 1546-1726
|2 ISSN
024 7 _ |a pmid:30305712
|2 pmid
024 7 _ |a WOS:000447633900009
|2 WOS
024 7 _ |a 2128/21475
|2 Handle
024 7 _ |a altmetric:49516653
|2 altmetric
037 _ _ |a FZJ-2018-05998
082 _ _ |a 570
100 1 _ |a Eickhoff, Simon
|0 P:(DE-Juel1)131678
|b 0
|e Corresponding author
|u fzj
245 _ _ |a Imaging-based parcellations of the human brain
260 _ _ |a London
|c 2018
|b Nature Publ. Group
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1540388794_26057
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a A 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.
536 _ _ |a 571 - Connectivity and Activity (POF3-571)
|0 G:(DE-HGF)POF3-571
|c POF3-571
|f POF III
|x 0
536 _ _ |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)
|0 G:(EU-Grant)785907
|c 785907
|f H2020-SGA-FETFLAG-HBP-2017
|x 1
536 _ _ |a HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270)
|0 G:(EU-Grant)720270
|c 720270
|f H2020-Adhoc-2014-20
|x 2
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Yeo, B. T. Thomas
|0 0000-0002-0119-3276
|b 1
700 1 _ |a Genon, Sarah
|0 P:(DE-Juel1)161225
|b 2
|u fzj
773 _ _ |a 10.1038/s41583-018-0071-7
|g Vol. 19, no. 11, p. 672 - 686
|0 PERI:(DE-600)2028902-9
|n 11
|p 672 - 686
|t Nature reviews / Neuroscience Neuroscience [...]
|v 19
|y 2018
|x 1471-0048
856 4 _ |u https://juser.fz-juelich.de/record/856633/files/Eickhoff18.pdf
|y Restricted
856 4 _ |x pdfa
|u https://juser.fz-juelich.de/record/856633/files/Eickhoff18.pdf?subformat=pdfa
|y Restricted
856 4 _ |y Published on 2018-10-09. Available in OpenAccess from 2019-04-09.
|u https://juser.fz-juelich.de/record/856633/files/Eickhoff_Yeo_Genon_NRN_MainManuscriptInclFigures.pdf
909 C O |o oai:juser.fz-juelich.de:856633
|p openaire
|p open_access
|p driver
|p VDB
|p ec_fundedresources
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)131678
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)161225
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-571
|2 G:(DE-HGF)POF3-500
|v Connectivity and Activity
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
914 1 _ |y 2018
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a IF >= 15
|0 StatID:(DE-HGF)9915
|2 StatID
|b NAT NEUROSCI : 2017
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NAT REV NEUROSCI : 2017
915 _ _ |a IF >= 30
|0 StatID:(DE-HGF)9930
|2 StatID
|b NAT REV NEUROSCI : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1120
|2 StatID
|b BIOSIS Reviews Reports And Meetings
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a Embargoed OpenAccess
|0 StatID:(DE-HGF)0530
|2 StatID
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21