Cortical thickness: Difference between revisions
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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:He 2007 Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI}}</ref>, and | In brain anatomy, '''cortical thickness''' is a global measure used to describe the combined thickness of the layers of the [[cerebral cortex]] in [[mammal]]s. It is commonly determined from the [[grey matter]] set in [[segmentation|segmented]] [[neuroimaging]] data and changes only minimally with [[brain size]], both within and across species. Typical values in adult humans are (2.7±0.2) [[millimetre|mm]]. Its variation across the human brain follows [[small world|small-world]] principles<ref name=He2007>{{CZ:Ref:He 2007 Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI}}</ref>, and during [[aging]], a decrease of about 0.01 mm per year can be observed. Deviations from these patterns can be used as diagnostic indicators for [[brain disorder]]s, e.g. in [[lissencephaly]] or [[Williams syndrome]]<ref name=Thompson2005>{{CZ:Ref:Thompson 2005 Abnormal Cortical Complexity and Thickness Profiles Mapped in Williams Syndrome}}</ref>. | ||
==References== | ==References== | ||
{{reflist|2}} | {{reflist|2}} | ||
Revision as of 06:19, 2 September 2009
In brain anatomy, cortical thickness is a global measure used to describe the combined thickness of the layers of the cerebral cortex in mammals. It is commonly determined from the grey matter set in segmented neuroimaging data and changes only minimally with brain size, both within and across species. Typical values in adult humans are (2.7±0.2) mm. Its variation across the human brain follows small-world principles[1], and during aging, a decrease of about 0.01 mm per year can be observed. Deviations from these patterns can be used as diagnostic indicators for brain disorders, e.g. in lissencephaly or Williams syndrome[2].
References
- ↑ He, Yong; Zhang J. Chen & Alan C. Evans (2007), "Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI", Cerebral Cortex 17 (10): 2407-2419, DOI:10.1093/cercor/bhl149 [e]
- ↑ Thompson, Paul M.; Agatha D. Lee & Rebecca A. Dutton et al. (2005), "Abnormal Cortical Complexity and Thickness Profiles Mapped in Williams Syndrome", Journal of Neuroscience 25 (16): 4146–4158, DOI:10.1523/JNEUROSCI.0165-05.2005 [e]