001     62934
005     20190625110856.0
024 7 _ |2 pmid
|a pmid:18079129
024 7 _ |2 pmc
|a pmc:PMC2474454
024 7 _ |2 DOI
|a 10.1093/cercor/bhm225
024 7 _ |2 WOS
|a WOS:000257787300023
024 7 _ |a altmetric:21819203
|2 altmetric
037 _ _ |a PreJuSER-62934
041 _ _ |a eng
082 _ _ |a 610
084 _ _ |2 WoS
|a Neurosciences
100 1 _ |a Fischl, B
|b 0
|0 P:(DE-HGF)0
245 _ _ |a Cortical Folding Patterns and Predicting Cytoarchitecture
260 _ _ |a Oxford
|b Oxford Univ. Press
|c 2008
300 _ _ |a 1973 - 1980
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a Cerebral Cortex
|x 1047-3211
|0 1171
|v 18
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a The human cerebral cortex is made up of a mosaic of structural areas, frequently referred to as Brodmann areas (BAs). Despite the widespread use of cortical folding patterns to perform ad hoc estimations of the locations of the BAs, little is understood regarding 1) how variable the position of a given BA is with respect to the folds, 2) whether the location of some BAs is more variable than others, and 3) whether the variability is related to the level of a BA in a putative cortical hierarchy. We use whole-brain histology of 10 postmortem human brains and surface-based analysis to test how well the folds predict the locations of the BAs. We show that higher order cortical areas exhibit more variability than primary and secondary areas and that the folds are much better predictors of the BAs than had been previously thought. These results further highlight the significance of cortical folding patterns and suggest a common mechanism for the development of the folds and the cytoarchitectonic fields.
536 _ _ |a Funktion und Dysfunktion des Nervensystems
|c P33
|2 G:(DE-HGF)
|0 G:(DE-Juel1)FUEK409
|x 0
588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 2 |2 MeSH
|a Brain Mapping: methods
650 _ 2 |2 MeSH
|a Cerebral Cortex: cytology
650 _ 2 |2 MeSH
|a Cerebral Cortex: physiology
650 _ 2 |2 MeSH
|a Humans
650 _ 2 |2 MeSH
|a Predictive Value of Tests
650 _ 7 |a J
|2 WoSType
653 2 0 |2 Author
|a cerebral cortex
653 2 0 |2 Author
|a macroscopic landmarks
653 2 0 |2 Author
|a microscopic architecture
653 2 0 |2 Author
|a morphometry
700 1 _ |a Rajendran, N.
|b 1
|0 P:(DE-HGF)0
700 1 _ |a Busa, E.
|b 2
|0 P:(DE-HGF)0
700 1 _ |a Augustinack, J.
|b 3
|0 P:(DE-HGF)0
700 1 _ |a Hinds, O.
|b 4
|0 P:(DE-HGF)0
700 1 _ |a Yeo, T.
|b 5
|0 P:(DE-HGF)0
700 1 _ |a Mohlberg, H.
|b 6
|u FZJ
|0 P:(DE-Juel1)VDB1083
700 1 _ |a Amunts, K.
|b 7
|u FZJ
|0 P:(DE-Juel1)131631
700 1 _ |a Zilles, K.
|b 8
|u FZJ
|0 P:(DE-Juel1)131714
773 _ _ |a 10.1093/cercor/bhm225
|g Vol. 18, p. 1973 - 1980
|p 1973 - 1980
|q 18<1973 - 1980
|0 PERI:(DE-600)1483485-6
|t Cerebral cortex
|v 18
|y 2008
|x 1047-3211
856 7 _ |2 Pubmed Central
|u http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2474454
909 C O |o oai:juser.fz-juelich.de:62934
|p VDB
913 1 _ |k P33
|v Funktion und Dysfunktion des Nervensystems
|l Funktion und Dysfunktion des Nervensystems
|b Gesundheit
|0 G:(DE-Juel1)FUEK409
|x 0
914 1 _ |y 2008
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |d 31.12.2008
|g INB
|k INB-3
|l Medizin
|0 I:(DE-Juel1)INB-3-20090406
|x 0
920 1 _ |0 I:(DE-82)080010_20140620
|k JARA-BRAIN
|l Jülich-Aachen Research Alliance - Translational Brain Medicine
|g JARA
|x 1
970 _ _ |a VDB:(DE-Juel1)99905
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)INB-3-20090406
980 _ _ |a I:(DE-82)080010_20140620
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)VDB1046


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