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  Neuroimaging-based phenotyping of the autism spectrum

Bernhardt, B. C., Di Martino, A., Valk, S. L., & Wallace, G. L. (2017). Neuroimaging-based phenotyping of the autism spectrum. In Current Topics in Behavioral Neurosciences (pp. 341-355). Berlin: Springer. doi:10.1007/7854_2016_438.

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 Urheber:
Bernhardt, Boris C.1, 2, Autor           
Di Martino, Adriana3, Autor
Valk, Sofie L.1, Autor           
Wallace, Gregory L.4, Autor
Affiliations:
1Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634552              
2McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada, ou_persistent22              
3Autism Spectrum Disorders Clinical and Research Program, Child Study Center, New York University Langone Medical Center, NY, USA, ou_persistent22              
4Department of Speech and Hearing Science, George Washington University, Washington, DC, USA, ou_persistent22              

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Schlagwörter: Autism; ASD; MRI; Connectome; Biomarkers
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2016-03-062017
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1007/7854_2016_438
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Titel: Current Topics in Behavioral Neurosciences
Genre der Quelle: Reihe
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Berlin : Springer
Seiten: - Band / Heft: 30 Artikelnummer: - Start- / Endseite: 341 - 355 Identifikator: ISSN: 1866-3370