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Neuroimaging-Based Phenotyping of the Autism Spectrum

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Book cover Social Behavior from Rodents to Humans

Part of the book series: Current Topics in Behavioral Neurosciences ((CTBN,volume 30))

Abstract

Recent advances in neuroimaging have offered a rich array of structural and functional markers to probe the organization of regional and large-scale brain networks. The current chapter provides a brief introduction into these techniques and overviews their contribution to the understanding of autism spectrum disorder (ASD), a neurodevelopmental condition associated with atypical social cognition, language function, and repetitive behaviors/interests. While it is generally recognized that ASD relates to structural and functional network anomalies, the extent and overall pattern of reported findings have been rather heterogeneous. Indeed, while several attempts have been made to label the main neuroimaging phenotype of ASD (e.g., ‘early brain overgrowth hypothesis’, ‘amygdala theory’, ‘disconnectivity hypothesis’), none of these frameworks has been without controversy. Methodological sources of inconsistent results may include differences in subject inclusion criteria, variability in image processing, and analysis methodology. However, inconsistencies may also relate to high heterogeneity across the autism spectrum itself. It, therefore, remains to be investigated whether a consistent imaging phenotype that adequately describes the entire autism spectrum can, in fact, be established. On the other hand, as previous findings clearly emphasize the value of neuroimaging in identifying atypical brain morphology, function, and connectivity, they ultimately support its high potential to identify biologically and clinically relevant endophenotypes.

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Correspondence to Boris C. Bernhardt .

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Bernhardt, B.C., Di Martino, A., Valk, S.L., Wallace, G.L. (2016). Neuroimaging-Based Phenotyping of the Autism Spectrum. In: Wöhr, M., Krach, S. (eds) Social Behavior from Rodents to Humans. Current Topics in Behavioral Neurosciences, vol 30. Springer, Cham. https://doi.org/10.1007/7854_2016_438

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