Active contour segmentation and its robust implementation using level set methods are well established theoretical approaches that have been studied thoroughly in the image analysis literature. Despite the existence of these powerful segmentation methods, the needs of clinical research continue to be fulfilled, to a large extent, using slice-by-slice manual tracing. To bridge the gap between methodological advances and clinical routine, we developed an open source application called ITK-SNAP, which is intended to make level set segmentation easily accessible to a wide range of users, including those with little or no mathematical expertise. This paper describes the methods and software engineering philosophy behind this new tool and provides the results of validation experiments performed in the context of an ongoing child autism neuroimaging study. The validation establishes SNAP intra/interrater reliability and overlap error statistics for the caudate nucleus and finds that SNAP is a highly reliable and efficient alternative to manual tracing.Analogous results for lateral ventricle segmentation are provided.
Deficits in social interaction are important early markers for autism and related neurodevelopmental disorders with strong genetic components. Standardized behavioral assays that measure the preference of mice for initiating social interactions with novel conspecifics would be of great value for mutant mouse models of autism. We developed a new procedure to assess sociability and the preference for social novelty in mice. To quantitate sociability, each mouse was scored on measures of exploration in a central habituated area, a side chamber containing an unfamiliar conspecific (stranger 1) in a wire cage, or an empty side chamber. In a secondary test, preference for social novelty was quantitated by presenting the test mouse with a choice between the first, now-familiar, conspecific (stranger 1) in one side chamber, and a second unfamiliar mouse (stranger 2) in the other side chamber. Parameters scored included time spent in each chamber and number of entries into the chambers. Five inbred strains of mice were tested, C57BL/6J, DBA/2J, FVB/NJ, A/J and B6129PF2/J hybrids. Four strains showed significant levels of sociability (spending more time in the chamber containing stranger 1 than in the empty chamber) and a preference for social novelty (spending more time in the chamber containing stranger 2 than in the chamber containing the now-familiar stranger 1). These social preferences were observed in both male and female mice, and in juveniles and adults. The exception was A/J, a strain that demonstrated a preference for the central chamber. Results are discussed in terms of potential applications of the new methods, and the proper controls for the interpretation of social behavior data, including assays for health, relevant sensory abilities and motor functions. This new standardized procedure to quantitate sociability and preference for social novelty in mice provides a method to assess tendencies for social avoidance in mouse models of autism.
Autism spectrum disorders (ASDs) are childhood neurodevelopmental disorders with complex genetic origins1 -4. Previous studies focusing on candidate genes or genomic regions have identified several copy number variations (CNVs) that are associated with an increased risk of ASDs5 -9. Here we present the results from a whole-genome CNV study on a cohort of 859 ASD cases and 1,409 healthy children of European ancestry who were genotyped with ~550,000 single nucleotide polymorphism markers, in an attempt to comprehensively identify CNVs conferring susceptibility to ASDs. Positive findings were evaluated in an independent cohort of 1,336 ASD cases and 1,110 controls of European ancestry. Besides previously reported ASD candidate genes, such as NRXN1 (ref. 10) and CNTN4 (refs 11 , 12), several new susceptibility genes encoding neuronal cell-adhesion molecules, including NLGN1 and ASTN2, were enriched with CNVs in ASD cases compared to controls (P = 9.5 × 10 −3 ). Furthermore, CNVs within or surrounding genes involved in the ubiquitin pathways, including UBE3A, PARK2, RFWD2 and FBXO40, were affected by CNVs not observed in controls (P = 3.3 × 10 −3 ). We also identified duplications 55 kilobases upstream of complementary DNA AK123120 (P = 3.6 × 10 −6 ). Although these variants may be individually rare, they target genes involved in neuronal cell-adhesion or ubiquitin degradation, indicating that these two important gene networks expressed within the central nervous system may contribute to the genetic susceptibility of ASD.ASDs, including autism, are neurodevelopmental disorders characterized by impairments in social and communication skills, as well as stereotyped and repetitive behaviours and/or a restricted range of interests. Current prevalence estimates in the United States are 0.1-0.2% for autism and 0.6% for ASDs 1,2 .Linkage and candidate gene association studies have implicated several chromosomal regions in autism 3,4 . However, positive findings in one study often fail to replicate in other studies, and a consistent picture of susceptibility loci in autism is still lacking. Some telling clues about ASD genetics arose from recent studies on CNVs 5 , including the association of de novo CNVs with ASDs 6 . Although de novo CNVs that disrupt specific genes may contribute to the pathogenesis of ASDs, heritable CNVs are much more common but have been less studied as risk factors of ASDs. A family-based genome-wide linkage and CNV analysis by the Autism Genome Project Consortium using Affymetrix 10K single nucleotide polymorphism (SNP) arrays implicated chromosome 11p12-13 and neurexin 1 (NRXN1) as candidate loci 7 . A study using the Affymetrix 500K SNP array in a Canadian population reported 277 rare CNVs that were only observed in ASD patients but not in 1,652 healthy controls or in the Database of Genomic Variants 8 . Furthermore, 16p11.2 deletions and Glessner et al.Page 2 Nature. Author manuscript; available in PMC 2010 August 23. NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author Manuscri...
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