The NeuroDevNet Autism Spectrum Disorders Demonstration Project

Zwaigenbaum, Lonnie; Scherer, Stephen W.; Szatmári, Péter; Fombonne, Éric; Bryson, Susan E.; Hyde, Krista L.; Anognostou, Evdokia; Brian, Jessica; Evans, Alan C.; Hall, Geoff B. C.; Nicholas, David; Roberts, Wendy; Smith, Isabel M.; Vaillancourt, Tracy; Volden, Joanne

doi:10.1016/j.spen.2011.02.003

Cited by 15 publications

(8 citation statements)

References 104 publications

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“…Participants A total of 115 participants between the ages of 6 and 17 years were imaged as part of the NeuroDevNet Autism Demonstration Project, a multisite initiative to study brain structural and behavioral development in ASD children 38 39 and were not on psychotropic medications at the time of the scan. Diagnoses were confirmed using the Autism Diagnostic Observational Schedule-Generic 40 and the Autism Diagnostic Interview-Revised.…”

Section: Methodsmentioning

confidence: 99%

Atypical functional brain connectivity during rest in autism spectrum disorders

Doyle‐Thomas

Lee

Foster

et al. 2015

Annals of Neurology

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Section: Methodsmentioning

confidence: 99%

Atypical functional brain connectivity during rest in autism spectrum disorders

Doyle‐Thomas

Lee

Foster

et al. 2015

Annals of Neurology

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“…DO terms and IDs are being used to develop and build algorithms, computational tools and biomedical resources. DO has been incorporated into a growing number of biomedical resources including the EBI Array Express ( 23 ), the Neuroscience Information Network (NIFSTD) ( 24 ), Neurocarta ( 25 ), NeuroDevNet ( 26 ), Infectious Disease Ontology ( http://infectiousdiseaseontology.org ), the MIxS genomic metadata standard ( 27 ) and the NIH Library of Integrated Network-based Cellular Signatures program ( 28 ).…”

Section: Do Availabilitymentioning

confidence: 99%

Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data

Kibbe

Arze

Felix

et al. 2014

Nucleic Acids Research

528

362

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The current version of the Human Disease Ontology (DO) (http://www.disease-ontology.org) database expands the utility of the ontology for the examination and comparison of genetic variation, phenotype, protein, drug and epitope data through the lens of human disease. DO is a biomedical resource of standardized common and rare disease concepts with stable identifiers organized by disease etiology. The content of DO has had 192 revisions since 2012, including the addition of 760 terms. Thirty-two percent of all terms now include definitions. DO has expanded the number and diversity of research communities and community members by 50+ during the past two years. These community members actively submit term requests, coordinate biomedical resource disease representation and provide expert curation guidance. Since the DO 2012 NAR paper, there have been hundreds of term requests and a steady increase in the number of DO listserv members, twitter followers and DO website usage. DO is moving to a multi-editor model utilizing Protégé to curate DO in web ontology language. This will enable closer collaboration with the Human Phenotype Ontology, EBI's Ontology Working Group, Mouse Genome Informatics and the Monarch Initiative among others, and enhance DO's current asserted view and multiple inferred views through reasoning.

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“…In the field of human neuroimaging, the challenge of nonreplication and low statistical power (Button et al, ) needs to be resolved, potentially with several complementary approaches. One is to increase sample size by means of large‐scale, multicenter prospective projects (Zwaigenbaum et al, ; Baribeau et al, ; Loth et al, ), or, less ideally, by data sharing and pooling across existing datasets (Halladay et al, ), such as the ABIDE initiative (Di Martino et al, ). Another approach has to deal with increasing the fidelity of acquired neuroimaging data since improvements in signal‐to‐noise ratio should lead to improved estimates of effect size and thus statistical power (Lombardo et al, ).…”

Section: Future Directionsmentioning

confidence: 99%

Imaging sex/gender and autism in the brain: Etiological implications

Lai

Lerch

Floris

et al. 2016

J of Neuroscience Research

128

121

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The male preponderance in autism prevalence has brought together the disparate topics of sex/gender and autism research. Two directions of neuroimaging studies on the relationships between sex/gender and autism may inform male-specific risk mechanisms and femalespecific protective mechanisms of autism. First, we review how sex/gender moderates autism-related brain changes and how this informs general models of autism etiology. Better-powered human neuroimaging studies suggest that the brain characteristics of autism are qualitatively, rather than simply quantitatively, different between males and females. However, age and comorbidities might substantially moderate the pattern of differences. Second, we review how the relationship between autism-related brain changes (separately in males and females) and normative brain sex/gender differences informs specific etiological-developmental mechanisms. Both human and animal studies converge to indicate that the brain characteristics of autism are partly associated with normative brain sex/gender differences, suggesting convergence or overlap between the mechanisms leading to and modifying the development of autism and the mechanisms underlying sex differentiation and/or gender socialization. Future animal work needs to investigate sex differences in rodent mutants modeling autism-relevant genes and environmental exposures. Future human work needs to address the substantial phenotypic and etiological heterogeneity of autism and to focus on longitudinal neuroimaging studies (from early development) on the developmental trajectories of sex/gender-differential neural characteristics of autism. Combining animal and human work links up the causal chain from etiological SIGNIFICANCE The male preponderance in autism prevalence has brought together research topics about sex/gender and autism. We review two directions of brain imaging studies on the relationships between sex/gender and autism, to inform male-specific risk mechanisms and femalespecific protective mechanisms of autism. First, human neuroimaging studies suggest that the brain characteristics of autism are qualitatively, rather than simply quantitatively, different between males and females. Second, both human and animal studies converge to indicate that the brain characteristics of autism are partly associated with typical brain sex/gender differences, suggesting converging or overlapping underlying mechanisms. Sex and gender play critical roles in autism etiologies. Journal of Neuroscience Research 95:380-397 (2017) factors, brain and physical development, to phenotypes. These together help delineate the different roles of sex and gender in relation to risk vs. protective mechanisms. V C 2016 Wiley Periodicals, Inc. M-CL was

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The NeuroDevNet Autism Spectrum Disorders Demonstration Project

Cited by 15 publications

References 104 publications

Atypical functional brain connectivity during rest in autism spectrum disorders

Atypical functional brain connectivity during rest in autism spectrum disorders

Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data

Imaging sex/gender and autism in the brain: Etiological implications

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