Skip to main content

Analyzing the Neocortical Fine-Structure

  • Conference paper
  • First Online:
Information Processing in Medical Imaging (IPMI 2001)

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 (MR) scanning protocols, it appears worthwile to examine the feasibility of characterizing the neocortical fine-structure from anatomical MR scans, thus, defining cytoarchitectonic fields by in-vivo techniques.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Amunts, K., Schleicher, A., Bürgel, U., Mohlberg, H., Uylings, H.B.M., Zilles, K.: Broca’s region revisited: cytoarchitecture and intersubject variability. J. Comp. Neurol. 412 (1999), 319–341.

    Article  Google Scholar 

  2. Brodmann, K.: Die vergleichende Lokalisationslehre der Grosshirnrinde. Barth, Leipzig (1909).

    Google Scholar 

  3. Garland, M., Heckbert, P.S. Optimal triangulation and quadric-based surface simplification. J. Comp. Geom. 14 (1999), 49–65.

    Article  MATH  MathSciNet  Google Scholar 

  4. Hopf, A.: Registration of the myeloarchitecture of the human frontal lobe with an extinction method. J. Hirnforschung 10 (1968), 259–269.

    Google Scholar 

  5. Hellwig, B.: How the myelin picture of the human cerebral cortex can be computed from cytoarchitectonic data. A bridge between von Economo and Vogt. J. Hirnforschung 34 (1993), 387–402.

    MathSciNet  Google Scholar 

  6. Kruggel, F., von Cramon D.Y.: Measuring the neocortical thickness. In: Mathematical Methods in Biomedical Image Analysis (Hilton Head), pp. 154–161. IEEE Press, Los Alamitos (2000).

    Google Scholar 

  7. Lee, J.H., Garwood, M., Menon, R., Adriany, G., Andersen, P., Truwit, C.L., Ugurbil, K.: High contrast and fast three-dimensional magnetic resonance imaging at high fields. Magn. Reson. Med. 34 (1995), 308–312.

    Article  Google Scholar 

  8. MacDonald, D, Kabani, N., Avis, D., Evans, A.C.: Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI. Neuroimage 12 (2000), 340–356.

    Article  Google Scholar 

  9. Payne, B.A., Toga, A.W.: Surface mapping of brain function on 3D models. IEEE CGA 10 (1990), 33–41.

    Google Scholar 

  10. Pham, D.L., Prince J.L.: An adaptive fuzzy segmentation algorithm for threedimensional magnetic resonance images. In: Information Processing in Medical Imaging (IPMI’99), LNCS 1613, pp. 140–153. Springer, Heidelberg (1999).

    Chapter  Google Scholar 

  11. Rademacher, J., Caviness, V.S., Steinmetz, H., Galaburda, A.M.: Topographical variation of the human primary cortices: implications for neuroimaging, brain mapping and neurobiology. Cereb. Cortex 3 (1995), 313–329.

    Article  Google Scholar 

  12. Rajkowska, G., Goldman-Rakic, P.S.: Cytoarchitectonic definition of prefrontal areas in the normal human cortex: II. Variability in locations of areas 9 and 46 and relationship to the Talairach coordinate system. Cereb. Cortex 5 (1995), 323–337.

    Article  Google Scholar 

  13. Schleicher, A., Zilles, K.: A quantitative approach to cytoarchitectonics: analysis of structural inhomogeneities in nervous tissue using an image analyzer. J. Microscopy 157 (1990), 367–381.

    Google Scholar 

  14. ptvon Economo, C.: Zellaufbau der Grosshirnrinde des Menschen. Springer-Verlag, Wien (1927).

    Google Scholar 

  15. Zilles, K., Werners, R., Büsching, U., Schleicher, A.: Ontogenesis of the laminar structure in areas 17 and 18 of the human visual cortex. Anat. Embryol. 174 (1986), 339–353.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kruggel, F., Wiggins, C.J., von Cramon, D.Y., Brückner, M.K., Arendt, T. (2001). Analyzing the Neocortical Fine-Structure. In: Insana, M.F., Leahy, R.M. (eds) Information Processing in Medical Imaging. IPMI 2001. Lecture Notes in Computer Science, vol 2082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45729-1_26

Download citation

  • DOI: https://doi.org/10.1007/3-540-45729-1_26

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42245-7

  • Online ISBN: 978-3-540-45729-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics