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  Analyzing the neocortical fine-structure

Kruggel, F. J., Brückner, M. K., Arendt, T., Wiggins, C. J., & von Cramon, D. Y. (2001). Analyzing the neocortical fine-structure. In M. F. Insana, & R. M. Leahy (Eds.), Information Processing in Medical Science: 17th International Conference, IPMI 2001 Davis, CA, USA, June 18–22, 2001 Proceedings (pp. 239-245). Berlin: Springer. doi:10.1007/3-540-45729-1_26.

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 Creators:
Kruggel, Frithjof J.1, Author           
Brückner, Martina K.2, Author
Arendt, Thomas2, Author
Wiggins, Christopher J.1, Author           
von Cramon, D. Yves1, Author           
Affiliations:
1Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634563              
2External Organizations, ou_persistent22              

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Free keywords: Motor Cortex; Cortical Thickness; Inferior Frontal Gyrus; Magnetic Resonance Data; Template Region
 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: 2001-06-08
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/3-540-45729-1_26
 Degree: -

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Title: 17th International Conference, IPMI 2001
Place of Event: Davis, CA
Start-/End Date: 2001-06-18 - 2001-06-21

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Title: Information Processing in Medical Science: 17th International Conference, IPMI 2001 Davis, CA, USA, June 18–22, 2001 Proceedings
Source Genre: Proceedings
 Creator(s):
Insana, Michael F.1, Editor
Leahy, Richard M.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: XVI, 537 S. Volume / Issue: 2082 Sequence Number: - Start / End Page: 239 - 245 Identifier: ISBN: 978-3-540-42245-7
DOI: 10.1007/3-540-45729-1