2008
DOI: 10.1109/tmi.2007.903576
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A Surface-Based Approach to Quantify Local Cortical Gyrification

Abstract: Abstract-The high complexity of cortical convolutions in humans is very challenging both for engineers to measure and compare it, and for biologists and physicians to understand it. In this paper, we propose a surface-based method for the quantification of cortical gyrification. Our method uses accurate 3-D cortical reconstruction and computes local measurements of gyrification at thousands of points over the whole cortical surface. The potential of our method to identify and localize precisely gyral abnormali… Show more

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Cited by 487 publications
(524 citation statements)
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References 75 publications
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“…Cortical thickness is defined as the distance between the pial and the white surface and is calculated by finding the shortest direct path between them (Fischl and Dale, 2000). The local gyrification index (lGI) is a vertex-wise measure elucidating gyral complexity and is computed according to the method described in (Schaer et al, 2008).…”
Section: Magnetic Resonance Images (Mris) Acquisition and Processingmentioning
confidence: 99%
See 1 more Smart Citation
“…Cortical thickness is defined as the distance between the pial and the white surface and is calculated by finding the shortest direct path between them (Fischl and Dale, 2000). The local gyrification index (lGI) is a vertex-wise measure elucidating gyral complexity and is computed according to the method described in (Schaer et al, 2008).…”
Section: Magnetic Resonance Images (Mris) Acquisition and Processingmentioning
confidence: 99%
“…Thickness and volume values were then smoothed using a full width at a half maximum (FWHM) of 10 mm. As the lGI values are already smoothed because of the way they are computed (Schaer et al, 2008), a smoothing at a FWHM of 5 mm was used. Gender and age were added as covariates in the model.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Details of the lGI computation can be found in the validation paper (Schaer et al, 2008) and at https://surfer.nmr.mgh.harvard.edu/fswiki/LGI.…”
Section: Local Gyrification Index (Lgi)mentioning
confidence: 99%
“…the ratio between the folded cortical surface and an outer cerebral surface tightly warping the brain without entering the sulci (Zilles et al, 1988). One of the authors of the present paper (MS) has developed an automated method for measuring vertex-wise gyrification in threedimensional (3D) space across the entire cortex based on magnetic resonance imaging (MRI) data (Schaer et al, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…18 However, curvature-based approaches are highly dependent on surface configuration and are sensitive to noise. The lGI, 19 a 3D extension of the GI, is a newly developed automated method for locating regionally specific changes in gyrification. This measure is able to quantify the amount of cortical surface invaginated in the sulci and measure the spatial frequency of cortical gyrification and the depth of the sulci.…”
mentioning
confidence: 99%