Gyrification/Addendum: Difference between revisions

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imported>Daniel Mietchen
m (Gyrification/Function moved to Gyrification/Addendum: better fit of content to page name)
imported>Daniel Mietchen
(references)
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{{subpages}}
{{subpages}}
Commonly used measures of the exent of cortical folding include:
==Quantitative measures of gyrification==
Commonly used measures of the exent of cortical folding include<ref name=Rodriguez-carranza2008>{{citation
| last1 = Rodriguez-Carranza | first1 = C.E.
| last2 = Mukherjee | first2 = P.
| last3 = Vigneron | first3 = D.
| last4 = Barkovich | first4 = J.
| last5 = Studholme | first5 = C.
| year = 2008
| title = A framework for in vivo quantification of regional brain folding in premature neonates
| journal = Neuroimage
| volume = 41
| pages = 462
| doi = 10.1016/j.neuroimage.2008.01.008
| url = http://linkinghub.elsevier.com/retrieve/pii/S1053811908000311
}}</ref><ref name=Pienaar2008>{{citation
| last1 = Pienaar | first1 = R.
| last2 = Fischl | first2 = B.
| last3 = Caviness | first3 = V.
| last4 = Makris | first4 = N.
| last5 = Grant | first5 = P.E.
| year = 2008
| title = A methodology for analyzing curvature in the developing brain from preterm to adult
| journal = International Journal of Imaging Systems and Technology
| volume = 18
| issue = 1
| pages = 42–68
| doi = 10.1002/ima.20138
| url = http://www3.interscience.wiley.com/journal/119877321/abstract
}}</ref>:
*[[L2 norm|<math> L^2 norms</math>]]:
*[[L2 norm|<math> L^2 norms</math>]]:
**<math>LN_G = \tfrac{1}{4\pi} \textstyle \sqrt{\sum_A K^2}</math>, with <math>K = k_1 k_2</math> being the [[Gaussian curvature]], computed from the two [[principal curvature]]s <math>k_1</math> and <math>k_2</math>
**<math>LN_G = \tfrac{1}{4\pi} \textstyle \sqrt{\sum_A K^2}</math>, with <math>K = k_1 k_2</math> being the [[Gaussian curvature]], computed from the two [[principal curvature]]s <math>k_1</math> and <math>k_2</math>
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*Roundness
*Roundness
**<math>Rn =\tfrac{A}{^3\sqrt{36 \pi V^2}}</math>
**<math>Rn =\tfrac{A}{^3\sqrt{36 \pi V^2}}</math>
==References==
{{reflist}}

Revision as of 17:15, 26 December 2008

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This addendum is a continuation of the article Gyrification.

Quantitative measures of gyrification

Commonly used measures of the exent of cortical folding include[1][2]:

  • :
    • , with being the Gaussian curvature, computed from the two principal curvatures and
    • , with being the Mean curvature and the area of the surface in question
  • Folding index
    • , with
  • Intrinsic curvature index
    • , with being the positive Gaussian curvature
  • Gyrification index
    • , with indicating the number of the slice, and and being the pial surface area in that slice and the surface area of the boundary between gray matter and cerebrospinal fluid, respectively
  • Gyrification-White index
    • , with being the surface area of the boundary between gray matter and white matter
  • White matter folding
    • , with being the volume of the white matter
  • Cortical complexity
  • Fractal dimension
  • Global gyrification index
  • Local gyrification index
  • Shape index
  • Curvedness
  • Roundness

References

  1. Rodriguez-Carranza, C.E.; P. Mukherjee & D. Vigneron et al. (2008), "A framework for in vivo quantification of regional brain folding in premature neonates", Neuroimage 41: 462, DOI:10.1016/j.neuroimage.2008.01.008
  2. Pienaar, R.; B. Fischl & V. Caviness et al. (2008), "A methodology for analyzing curvature in the developing brain from preterm to adult", International Journal of Imaging Systems and Technology 18 (1): 42–68, DOI:10.1002/ima.20138