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  Analyzing the neocortical fine-structure

Kruggel, F., Brückner, M. K., Arendt, T., Wiggins, C. J., & von Cramon, D. Y. (2003). Analyzing the neocortical fine-structure. Medical Image Analysis, 7(3), 251-264. doi:10.1016/S1361-8415(03)00006-9.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-9C60-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-2183-3
Genre: Journal Article

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 Creators:
Kruggel, F.1, 2, Author              
Brückner, M. K.3, Author
Arendt, T.3, Author
Wiggins, Christopher J.2, Author              
von Cramon, D. Yves2, Author              
Affiliations:
1Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634563              
2MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574              
3External Organizations, ou_persistent22              

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 Abstract: Cytoarchitectonic fields of the human neocortex are defined by characteristic variations in the composition of a general six-layer structure. It is commonly accepted that these fields correspond to functionally homogeneous entities. Diligent techniques were developed to characterize cytoarchitectonic fields by staining sections of post-mortem brains and subsequent statistical evaluation. Fields were found to show a considerable interindividual variability in extent and relation to macroscopic anatomical landmarks. With upcoming new high-resolution magnetic resonance imaging (MRI) protocols, it appears worthwhile to examine the feasibility of characterizing the neocortical fine-structure from anatomical MRI scans, thus, defining neocortical fields by in vivo techniques. A fixated brain hemisphere was scanned at a resolution of approximately 0.3 mm. After correcting for intensity inhomogeneities in the dataset, the cortex boundaries (the white/grey matter and grey matter/background interfaces) were determined as a triangular mesh. Radial intensity profiles following the shortest path through the cortex were computed and characterized by a sparse set of features. A statistical similarity measure between features of different regions was defined, and served to define the extent of Brodmann’s Areas 4, 17, 44 and 45 in this dataset.

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Language(s): eng - English
 Dates: 2002-12-032001-10-042003-01-202003-04-262003-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 239105
Other: P6657
DOI: 10.1016/S1361-8415(03)00006-9
PMID: 12946467
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Title: Medical Image Analysis
  Other : Med. Image Anal.
Source Genre: Journal
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Publ. Info: London : Elsevier
Pages: - Volume / Issue: 7 (3) Sequence Number: - Start / End Page: 251 - 264 Identifier: ISSN: 1361-8415
CoNE: https://pure.mpg.de/cone/journals/resource/954927741859