Tuning and Comparing Spatial Normalization Methods

Robbins, Steven; Evans, Alan C.; Collins, D. Louis; Whitesides, Sue

doi:10.1007/978-3-540-39903-2_111

Cited by 84 publications

(120 citation statements)

References 19 publications

(25 reference statements)

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“…The white and gray matter surfaces were fitted using deformable surface-mesh models and nonlinearly aligned toward a standard template surface [Kim et al, 2005;MacDonald et al, 2000;Robbins et al, 2004]. The white and gray matter surfaces were resampled into native space, and cortical thickness was measured in native-space millimeters using the linked distance between the white and pial surfaces at each of 40,962 cortical points throughout the cortex MacDonald et al, 2000].…”

Section: Mri Acquisitionmentioning

confidence: 99%

Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence

Lenroot

Schmitt

Ordaz

et al. 2007

Human Brain Mapping

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In this report, we present the first regional quantitative analysis of age-related differences in the heritability of cortical thickness using anatomic MRI with a large pediatric sample of twins, twin siblings, and singletons (n 5 600, mean age 11.1 years, range 5-19). Regions of primary sensory and motor cortex, which develop earlier, both phylogenetically and ontologically, show relatively greater genetic effects earlier in childhood. Later developing regions within the dorsal prefrontal cortex and temporal lobes conversely show increasingly prominent genetic effects with maturation. The observation that regions associated with complex cognitive processes such as language, tool use, and executive function are more heritable in adolescents than children is consistent with previous studies showing that IQ becomes increasingly heritable with maturity(Plomin et al. [1997]: Psychol Sci 8:442-447). These results suggest that both the specific cortical region and the age of the population should be taken into account when using cortical thickness as an intermediate phenotype to link genes, environment, and behavior. Hum Brain Mapp 30: [163][164][165][166][167][168][169][170][171][172][173][174] 2009. V V C 2007 Wiley-Liss, Inc.

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Section: Mri Acquisitionmentioning

confidence: 99%

Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence

Lenroot

Schmitt

Ordaz

et al. 2007

Human Brain Mapping

Self Cite

295

249

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“…This algorithm was tuned for chosen parameter values, improving the resulting registrations. Sulcal variability was reduced in all areas of the cortex using optimal parameter values, which was proven by the method of entropy measure (Robbins et al, 2004). Finally, thickness information on each vertex of whole subject was transformed to a template so that the correspondence between subjects at each vertex of the cortical surface model should be assured.…”

Section: Measurement Of Cortical Thickness and Principal Component Anmentioning

confidence: 99%

Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia

Yoon

Lee

et al. 2007

NeuroImage

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We proposed pattern classification based on principal components of cortical thickness between schizophrenic patients and healthy controls, which was trained using a leave-one-out cross-validation. The cortical thickness was measured by calculating the Euclidean distance between linked vertices on the inner and outer cortical surfaces. Principal component analysis was applied to each lobe for practical computational issues and stability of principal components. And, discriminative patterns derived at every vertex in the original feature space with respect to support vector machine were analyzed with definitive findings of brain abnormalities in schizophrenia for establishing practical confidence. It was simulated with 50 randomly selected validation set for the generalization and the average accuracy of classification was reported. This study showed that some principal components might be more useful than others for classification, but not necessarily matching the ordering of the variance amounts they explained. In particular, 40-70 principal components rearranged by a simple two-sample t-test which ranked the effectiveness of features were used for the best mean accuracy of simulated classification (frontal: (left(%)|right(%)) = 91.07|88.80, parietal: 91.40|91.53, temporal: 93.60|91.47, occipital: 88.80|91.60). And, discriminative power appeared more spatially diffused bilaterally in the several regions, especially precentral, postcentral, superior frontal and temporal, cingulate and parahippocampal gyri. Since our results of discriminative patterns derived from classifier were consistent with a previous morphological analysis of schizophrenia, it can be said that the cortical thickness is a reliable feature for pattern classification and the potential benefits of such diagnostic tools are enhanced by our finding.

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“…• spatial normalization: defined as an image registration process estimating and applying warp-fields (Robbins et al, 2003);…”

Section: Related Workmentioning

confidence: 99%

Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries

Palacio

Sallaberry

Gaio

2012

Lecture Notes in Geoinformation and Cartography

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ABSTRACT:Our contribution is dedicated to geographic information contained in unstructured textual documents. The main focus of this article is to propose a general indexing strategy that is dedicated to spatial information, but which could be applied to temporal and thematic information as well. More specifically, we have developed a process flow that indexes the spatial information contained in textual documents. This process flow interprets spatial information and computes corresponding accurate footprints. Our goal is to normalize such heterogeneous grained and scaled spatial information (points, polylines, polygons). This normalization is carried out at the index level by grouping spatial information together within spatial areas and by using statistics to compute frequencies for such areas and weights for the retrieved documents.

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Tuning and Comparing Spatial Normalization Methods

Cited by 84 publications

References 19 publications

Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence

Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence

Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia

Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries

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