Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification

Kim, June Sic; Singh, Vivek Kumar; Lee, Jun Ki; Lerch, Jason P.; Ad-Dab’bagh, Yasser; MacDonald, David; Lee, Jong-Min; Kim, Sun I.; Evans, Alan C.

doi:10.1016/j.neuroimage.2005.03.036

Cited by 798 publications

(652 citation statements)

References 20 publications

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“…The WM and GM surfaces were fitted using deformable models (Kim et al, 2005), resulting in two surfaces with 81920 polygons each. WM lesion voxels were masked out prior to the fitting of the WM surface to prevent errors due to WM lesions located close to the cortex.…”

Section: Cortical Thickness Measurementmentioning

confidence: 99%

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Focal cortical atrophy in multiple sclerosis: Relation to lesion load and disability

Charil¹,

Dagher²,

Lerch³

et al. 2007

NeuroImage

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174

151

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Multiple sclerosis (MS) is thought to predominantly affect white matter (WM). Recently, however, loss of cortical gray matter has also been described. Little is known about the cause of cortical atrophy in MS, whether it occurs early in the disease course, and whether it affects all cortical regions equally or if there is a preferential pattern of focal cortical atrophy. An automated method was used to compute the thickness at every vertex of the cortical surface of the brains of 425 early relapsing-remitting MS patients. We correlated cortical thickness with the WM lesion load and the Expanded Disability Status Scale score. Mean cortical thickness correlated with WM lesion load and disability. The correlations of cortical thickness with total lesion load and disability were most significant in cingulate gyrus, insula, and associative cortical regions. Conversely, primary sensory, visual, and motor areas showed a less significant relationship. The highest amount of atrophy per lesion volume or disability scale unit was in the anterior cingulate cortex. This study confirms the relation between cortical atrophy, WM lesion load, and disability in MS, and suggests that cortical atrophy occurs even in MS patients with only mild disability. Most interestingly, we show a specific regional pattern of focal atrophy in MS that is distinctively different from the one in normal aging. The predilection of the atrophic process for areas that are heavily interconnected with other brain regions suggests that interruption of WM tracts by MS plaques contributes, at least in part, to the development of cortical atrophy.

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Section: Cortical Thickness Measurementmentioning

confidence: 99%

“…The surface deformation algorithm (Kabani et al, 2001;Kim et al, 2005) first fits the WM surface, and then expands outward to find the GM/cerebro-spinal fluid intersection. One particularity of this procedure is that each vertex of the WM surface is closely linked to its GM surface counterpart.…”

Section: Cortical Thickness Measurementmentioning

confidence: 99%

Focal cortical atrophy in multiple sclerosis: Relation to lesion load and disability

Charil¹,

Dagher²,

Lerch³

et al. 2007

NeuroImage

Self Cite

174

151

View full text Add to dashboard Cite

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“…Alternatively, with WM and pial boundaries defined, both boundaries can be deformed simultaneously using either snake like deformable models (MacDonald et al, 2000;Kim et al, 2005) or level sets (Zheng et al, 1999), thereby utilising distance constraints to ensure a realistic coupling of the two surfaces. The use of explicit surface models enables sub-voxel accuracy (Fischl and Dale, 2000), high sensitivity , and robustness to different field strengths, scanner upgrade and scanner manufacturer (Han et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…Surface based cortical thickness methods try to ensure correct topology of the surface after initial segmentation of the WM boundary (Shattuck and Leahy, 2001;Xu et al, 1999;Han et al, 2004), using smoothness and self intersection constraints MacDonald et al, 2000), by correcting topological defects as they occur (Fischl et al, 2001;Segonne et al, 2005), or using a Laplacian function (Kim et al, 2005). Ensuring correct topology or surface regularity massively increases computational cost (Fischl et al, 2001;Han et al, 2004), may require a difficult balance of parameter weights (Kim et al, 2005;Scott et al, 2009), and reduces the model's ability to follow areas of high curvature such as extremely thin gyral stalks (Lohmann et al, 2003) or opposing sides of sulci with no clear CSF between, which can produce bias and error in thickness measurements (Scott et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…Ensuring correct topology or surface regularity massively increases computational cost (Fischl et al, 2001;Han et al, 2004), may require a difficult balance of parameter weights (Kim et al, 2005;Scott et al, 2009), and reduces the model's ability to follow areas of high curvature such as extremely thin gyral stalks (Lohmann et al, 2003) or opposing sides of sulci with no clear CSF between, which can produce bias and error in thickness measurements (Scott et al, 2009). …”

Section: Introductionmentioning

confidence: 99%

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A comparison of voxel and surface based cortical thickness estimation methods

et al. 2011

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Cortical thickness estimation performed in-vivo via magnetic resonance imaging is an important technique for the diagnosis and understanding of the progression of neurodegenerative diseases. Currently, two different computational paradigms exist, with methods generally classified as either surface or voxel-based. This paper provides a much needed comparison of the surface-based method FreeSurfer and two voxel-based methods using clinical data. We test the effects of computing regional statistics using two different atlases and demonstrate that this makes a significant difference to the cortical thickness results. We assess reproducibility, and show that FreeSurfer has a regional standard deviation of thickness difference on same day scans that is significantly lower than either a Laplacian or Registration based method and discuss the trade off between reproducibility and segmentation accuracy caused by bending energy constraints. We demonstrate that voxel-based methods can detect similar patterns of group-wise differences as well as FreeSurfer in typical applications such as producing group-wise maps of statistically significant thickness change, but that regional statistics can vary between methods. We use a Support Vector Machine to classify patients against controls and did not find statistically significantly different results with voxel based methods compared to FreeSurfer. Finally we assessed longitudinal performance and concluded that currently FreeSurfer provides the most plausible measure of change over time, with further work required for voxel based methods.

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Development of Cortical Asymmetry in Typically Developing Children and Its Disruption in Attention-Deficit/Hyperactivity Disorder

Shaw

Lalonde²,

Lepage³

et al. 2009

Arch Gen Psychiatry

222

202

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Context Just as typical development of anatomical asymmetries in the human brain has been linked with normal lateralization of motor and cognitive functions, disruption of asymmetry has been implicated in the pathogenesis of neurodevelopmental disorders such as attention-deficit/hyperactivity disorder (ADHD). No study has examined the development of cortical asymmetry using longitudinal neuroanatomical data. Objective To delineate the development of cortical asymmetry in children with and without ADHD. Design Longitudinal study. Setting Government Clinical Research Institute. Participants A total of 218 children with ADHD and 358 typically developing children, from whom 1133 neuroanatomical magnetic resonance images were acquired prospectively. Main Outcome Measures Cortical thickness was estimated at 40 962 homologous points in the left and right hemispheres, and the trajectory of change in asymmetry was defined using mixed-model regression. Results In right-handed typically developing individuals, a mean (SE) increase in the relative thickness of the right orbitofrontal and inferior frontal cortex with age of 0.011 (0.0018) mm per year (t337=6.2, P<.001) was balanced against a relative left-hemispheric increase in the occipital cortical regions of 0.013 (0.0015) mm per year (t337=8.1, P<.001). Age-related change in asymmetry in non–right-handed typically developing individuals was less extensive and was localized to different cortical regions. In ADHD, the posterior component of this evolving asymmetry was intact, but the prefrontal component was lost. Conclusions These findings explain the way that, in typical development, the increased dimensions of the right frontal and left occipital cortical regions emerge in adulthood from the reversed pattern of childhood cortical asymmetries. Loss of the prefrontal component of this evolving asymmetry in ADHD is compatible with disruption of prefrontal function in the disorder and demonstrates the way that disruption of typical processes of asymmetry can inform our understanding of neurodevelopmental disorders.

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Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification

Cited by 798 publications

References 20 publications

Focal cortical atrophy in multiple sclerosis: Relation to lesion load and disability

Focal cortical atrophy in multiple sclerosis: Relation to lesion load and disability

A comparison of voxel and surface based cortical thickness estimation methods

Development of Cortical Asymmetry in Typically Developing Children and Its Disruption in Attention-Deficit/Hyperactivity Disorder

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