Cortical thickness: Difference between revisions

From Citizendium
Jump to navigation Jump to search
imported>Daniel Mietchen
m (formatting)
imported>Daniel Mietchen
(+one)
Line 1: Line 1:
{{subpages}}
{{subpages}}
In brain anatomy, '''cortical thickness''' is a global measure used to describe the combined thickness of the layers of the [[cerebral cortex]]. It is commonly determined from the [[grey matter]] set in [[segmentation|segmented]] [[neuroimaging]] data. Its variation across the human brain follows [[small world|small-world]] principles<ref name=He2007>{{CZ:Ref:DOI:He 2007 Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI}}</ref>.
In brain anatomy, '''cortical thickness''' is a global measure used to describe the combined thickness of the layers of the [[cerebral cortex]]. It is commonly determined from the [[grey matter]] set in [[segmentation|segmented]] [[neuroimaging]] data. Its variation across the human brain follows [[small world|small-world]] principles<ref name=He2007>{{CZ:Ref:DOI:He 2007 Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI}}</ref>, and deviations thereof can be used as diagnostic indicators for [[brain disorder]]s, e.g. in [[Williams syndrome]]<ref name=Thompson2005>{{CZ:Ref:Thompson 2005 Abnormal Cortical Complexity and Thickness Profiles Mapped in Williams Syndrome}}</ref>.

Revision as of 11:25, 7 January 2009

This article is a stub and thus not approved.
Main Article
Discussion
Related Articles  [?]
Bibliography  [?]
External Links  [?]
Citable Version  [?]
 
This editable Main Article is under development and subject to a disclaimer.

In brain anatomy, cortical thickness is a global measure used to describe the combined thickness of the layers of the cerebral cortex. It is commonly determined from the grey matter set in segmented neuroimaging data. Its variation across the human brain follows small-world principles[1], and deviations thereof can be used as diagnostic indicators for brain disorders, e.g. in Williams syndrome[2].