Literature DB >> 26946501

Neuroimaging-Based Phenotyping of the Autism Spectrum.

Boris C Bernhardt1,2, Adriana Di Martino3, Sofie L Valk4, Gregory L Wallace5.   

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.

Entities:  

Keywords:  ASD; Autism; Biomarkers; Connectome; MRI

Mesh:

Year:  2017        PMID: 26946501     DOI: 10.1007/7854_2016_438

Source DB:  PubMed          Journal:  Curr Top Behav Neurosci        ISSN: 1866-3370


  10 in total

1.  The Superficial White Matter in Autism and Its Role in Connectivity Anomalies and Symptom Severity.

Authors:  Seok-Jun Hong; Brian Hyung; Casey Paquola; Boris C Bernhardt
Journal:  Cereb Cortex       Date:  2019-09-13       Impact factor: 5.357

2.  The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder.

Authors:  Evelyn M R Lake; Emily S Finn; Stephanie M Noble; Tamara Vanderwal; Xilin Shen; Monica D Rosenberg; Marisa N Spann; Marvin M Chun; Dustin Scheinost; R Todd Constable
Journal:  Biol Psychiatry       Date:  2019-03-07       Impact factor: 13.382

3.  White matter microstructural and morphometric alterations in autism: implications for intellectual capabilities.

Authors:  Chun-Hung Yeh; Rung-Yu Tseng; Hsing-Chang Ni; Luca Cocchi; Jung-Chi Chang; Mei-Yun Hsu; En-Nien Tu; Yu-Yu Wu; Tai-Li Chou; Susan Shur-Fen Gau; Hsiang-Yuan Lin
Journal:  Mol Autism       Date:  2022-05-18       Impact factor: 6.476

4.  Multidimensional Neuroanatomical Subtyping of Autism Spectrum Disorder.

Authors:  Seok-Jun Hong; Sofie L Valk; Adriana Di Martino; Michael P Milham; Boris C Bernhardt
Journal:  Cereb Cortex       Date:  2018-10-01       Impact factor: 5.357

5.  Purkinje cell number-correlated cerebrocerebellar circuit anomaly in the valproate model of autism.

Authors:  Tamás Spisák; Viktor Román; Edit Papp; Rita Kedves; Katalin Sághy; Cecília Katalin Csölle; Anita Varga; Dávid Gajári; Gabriella Nyitrai; Zsófia Spisák; Zsigmond Tamás Kincses; György Lévay; Balázs Lendvai; András Czurkó
Journal:  Sci Rep       Date:  2019-06-25       Impact factor: 4.379

6.  Autism classified by magnetic resonance imaging: A pilot study of a potential diagnostic tool.

Authors:  Darko Sarovic; Nouchine Hadjikhani; Justin Schneiderman; Sebastian Lundström; Christopher Gillberg
Journal:  Int J Methods Psychiatr Res       Date:  2020-09-18       Impact factor: 4.035

7.  Autonomic Dysfunction in Autism Spectrum Disorder.

Authors:  Andrew P Owens; Christopher J Mathias; Valeria Iodice
Journal:  Front Integr Neurosci       Date:  2021-12-30

8.  Genome-wide association analysis identifies common variants influencing infant brain volumes.

Authors:  K Xia; J Zhang; M Ahn; S Jha; J J Crowley; J Szatkiewicz; T Li; F Zou; H Zhu; D Hibar; P Thompson; P F Sullivan; M Styner; J H Gilmore; R C Knickmeyer
Journal:  Transl Psychiatry       Date:  2017-08-01       Impact factor: 6.222

9.  Resting state functional networks in 1-to-3-year-old typically developing children.

Authors:  Bosi Chen; Annika Linke; Lindsay Olson; Cynthia Ibarra; Mikaela Kinnear; Inna Fishman
Journal:  Dev Cogn Neurosci       Date:  2021-07-15       Impact factor: 6.464

10.  Connectivity alterations in autism reflect functional idiosyncrasy.

Authors:  Oualid Benkarim; Casey Paquola; Bo-Yong Park; Seok-Jun Hong; Jessica Royer; Reinder Vos de Wael; Sara Lariviere; Sofie Valk; Danilo Bzdok; Laurent Mottron; Boris C Bernhardt
Journal:  Commun Biol       Date:  2021-09-15
  10 in total

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