2006
DOI: 10.1016/j.neuroimage.2005.08.049
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A curvature-based approach to estimate local gyrification on the cortical surface

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Cited by 325 publications
(281 citation statements)
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“…We used a general linear model controlling for the effect of age and total cortical surface area to estimate differences in gyrification between the groups at each vertex of the right and left hemispheric surfaces. Total surface area was chosen as a covariate as it has a linear relationship with gyrification, 32 and we have previously noted a significant difference between patients and controls in total surface area. 24 This model allowed for the possibility that the slope for the relationship between LGI and total surface area may be different in different brain regions.…”
Section: Discussionmentioning
confidence: 99%
“…We used a general linear model controlling for the effect of age and total cortical surface area to estimate differences in gyrification between the groups at each vertex of the right and left hemispheric surfaces. Total surface area was chosen as a covariate as it has a linear relationship with gyrification, 32 and we have previously noted a significant difference between patients and controls in total surface area. 24 This model allowed for the possibility that the slope for the relationship between LGI and total surface area may be different in different brain regions.…”
Section: Discussionmentioning
confidence: 99%
“…[25][26][27] The middle cortical surface lies at the geometric midpoint between the inner and outer cortical surfaces. It provides a relatively unbiased representation of sulcal versus gyral regions.…”
Section: Cortical Surface Areamentioning
confidence: 99%
“…Others [Magnotta et al, 1999, Cachia et al, 2003, Toro and Burnod, 2003, Manguin et al, 2004, Batchelor et al, 2002, Luders et al, 2006, Dubois et al, 2007 have computed curvature on 3D triangular meshes, created to approximate the brain surface. Computation of curvature [Gatzke andGrimm, 2006, Rusinkiewicz, 2004] from a triangular mesh can be done with the so called direct methods, which imply direct approximation of a curvature (or of a curvature tensor) within a neighborhood of a point (low computational cost), or by surface fitting, which involves finding an analytic equation that fits the mesh locally (high computational costs).…”
Section: Relation To Other Approachesmentioning
confidence: 99%