Literature DB >> 12202097

A robust transcortical profile scanner for generating 2-d traverses in histological sections of richly curved cortical courses.

O Schmitt1, M Böhme.   

Abstract

Quantitative analysis of the cerebral cortex has become more important since neuroimaging methods have revealed many subfunctions of cortical regions that were thought to be typical for only one specific function. Furthermore, it is often unknown if a certain area may be subdivided observer independently into subareas. These questions lead to an analytical problem. How can we analyze the cytoarchitecture of the human cerebral cortex in a quantitative manner in order to confirm classical transition regions between distinct areas and to detect new ones. Scanning the cerebral cortex is difficult because it presents a richly curved course and sectioning always leads to partially nonperpendicular sectioned regions of the tissue. Therefore, different methods were tested to determine which of them are most reliable with respect to generating perpendicular testlines in the cerebral cortex. We introduce a new technique based on electrical field theory. The results of this technique are compared with those of conventional techniques. It was found that straight traverses generated by the electrodynamic model present significantly smaller intertraversal differences than the conventional approaches.

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Year:  2002        PMID: 12202097     DOI: 10.1006/nimg.2002.1159

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  5 in total

1.  Thickness profile generation for the corpus callosum using Laplace's equation.

Authors:  Christopher L Adamson; Amanda G Wood; Jian Chen; Sarah Barton; David C Reutens; Christos Pantelis; Dennis Velakoulis; Mark Walterfang
Journal:  Hum Brain Mapp       Date:  2011-02-08       Impact factor: 5.038

Review 2.  Analysis strategies for high-resolution UHF-fMRI data.

Authors:  Jonathan R Polimeni; Ville Renvall; Natalia Zaretskaya; Bruce Fischl
Journal:  Neuroimage       Date:  2017-04-29       Impact factor: 6.556

3.  Ventral visual cortex in humans: cytoarchitectonic mapping of two extrastriate areas.

Authors:  Claudia Rottschy; Simon B Eickhoff; Axel Schleicher; Hartmurt Mohlberg; Milenko Kujovic; Karl Zilles; Katrin Amunts
Journal:  Hum Brain Mapp       Date:  2007-10       Impact factor: 5.038

4.  Quantitative architectural analysis: a new approach to cortical mapping.

Authors:  Axel Schleicher; Patricia Morosan; Katrin Amunts; Karl Zilles
Journal:  J Autism Dev Disord       Date:  2009-07-07

5.  Deep learning networks reflect cytoarchitectonic features used in brain mapping.

Authors:  Kai Kiwitz; Christian Schiffer; Hannah Spitzer; Timo Dickscheid; Katrin Amunts
Journal:  Sci Rep       Date:  2020-12-16       Impact factor: 4.379

  5 in total

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