Literature DB >> 25585034

Cortical morphology in 6- to 10-year old children with autistic traits: a population-based neuroimaging study.

Laura M E Blanken1, Sabine E Mous, Akhgar Ghassabian, Ryan L Muetzel, Nikita K Schoemaker, Hanan El Marroun, Aad van der Lugt, Vincent W V Jaddoe, Albert Hofman, Frank C Verhulst, Henning Tiemeier, Tonya White.   

Abstract

OBJECTIVE: Recent evidence suggests that symptoms of social impairment in autism spectrum disorder (ASD) form a spectrum that extends into the general population. However, it is unclear whether the neuroanatomy of ASD also shows a similar continuum in the general population. Therefore, the goal of the present study was to investigate the relationship between cortical morphology and autistic traits along a continuum in a large population-based sample of young children.
METHOD: The study included 717 children, aged 6-10 years, who are participants in the Generation R Study, a large population-based cohort. Autistic traits were measured using the Social Responsiveness Scale when the children were approximately 6 years old. High-resolution MRI was obtained, and morphological measures of the cortex, including cortical thickness and gyrification, were quantified brain-wide.
RESULTS: Children with more autistic traits showed widespread areas of decreased gyrification. After excluding children with the highest autistic traits and confirmed ASD, the association remained present in a large cluster involving the left hemisphere temporal and precuneus regions. Comparable, but nonsignificant, effects when comparing a small sample of confirmed ASD case subjects with age- and gender-matched control subjects were observed.
CONCLUSIONS: Differences in cortical morphology related to autistic traits along a continuum in a large population-based sample of school-aged children were found. Part of these differences remained after excluding the most severely affected children. These findings lend support to an extension of the neurobiology of autistic traits to the general population.

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Mesh:

Year:  2015        PMID: 25585034     DOI: 10.1176/appi.ajp.2014.14040482

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  27 in total

1.  High-Resolution Functional Connectivity Density: Hub Locations, Sensitivity, Specificity, Reproducibility, and Reliability.

Authors:  Dardo Tomasi; Ehsan Shokri-Kojori; Nora D Volkow
Journal:  Cereb Cortex       Date:  2015-07-28       Impact factor: 5.357

Review 2.  How Forces Fold the Cerebral Cortex.

Authors:  Christopher D Kroenke; Philip V Bayly
Journal:  J Neurosci       Date:  2018-01-24       Impact factor: 6.167

3.  Maternal C-Reactive Protein Concentration in Early Pregnancy and Child Autistic Traits in the General Population.

Authors:  Natasja Koks; Akhgar Ghassabian; Kirstin Greaves-Lord; Albert Hofman; Vincent W V Jaddoe; Frank C Verhulst; Henning Tiemeier
Journal:  Paediatr Perinat Epidemiol       Date:  2015-12-03       Impact factor: 3.980

4.  Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias.

Authors:  Yee-Leng Tan; Hosung Kim; Seunghyun Lee; Tarik Tihan; Lawrence Ver Hoef; Susanne G Mueller; Anthony James Barkovich; Duan Xu; Robert Knowlton
Journal:  Neuroimage       Date:  2017-10-31       Impact factor: 6.556

5.  Maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort.

Authors:  Novika Purnama Sari; Pauline W Jansen; Laura M E Blanken; Amber N V Ruigrok; Peter Prinzie; Henning Tiemeier; Simon Baron-Cohen; Marinus H van IJzendoorn; Tonya White
Journal:  Mol Autism       Date:  2022-06-15       Impact factor: 6.476

6.  The longitudinal bidirectional relationship between autistic traits and brain morphology from childhood to adolescence: a population-based cohort study.

Authors:  Melisa Durkut; Elisabet Blok; Anna Suleri; Tonya White
Journal:  Mol Autism       Date:  2022-07-05       Impact factor: 6.476

7.  Social Responsiveness Scale (SRS) in Relation to Longitudinal Cortical Thickness Changes in Autism Spectrum Disorder.

Authors:  Molly B D Prigge; Erin D Bigler; Brittany G Travers; Alyson Froehlich; Tracy Abildskov; Jeffrey S Anderson; Andrew L Alexander; Nicholas Lange; Janet E Lainhart; Brandon A Zielinski
Journal:  J Autism Dev Disord       Date:  2018-10

8.  Tracking the Influence of Autistic Traits on Competencies Among School Aged Children with Subthreshold Autistic Traits: A Longitudinal Study.

Authors:  Eileen T Crehan; Julie Baer; Robert R Althoff; John N Constantino
Journal:  Child Psychiatry Hum Dev       Date:  2018-12

9.  Cortical thickness change in autism during early childhood.

Authors:  Elizabeth Smith; Audrey Thurm; Deanna Greenstein; Cristan Farmer; Susan Swedo; Jay Giedd; Armin Raznahan
Journal:  Hum Brain Mapp       Date:  2016-04-07       Impact factor: 5.038

10.  Connectivity dynamics in typical development and its relationship to autistic traits and autism spectrum disorder.

Authors:  Barnaly Rashid; Laura M E Blanken; Ryan L Muetzel; Robyn Miller; Eswar Damaraju; Mohammad R Arbabshirani; Erik B Erhardt; Frank C Verhulst; Aad van der Lugt; Vincent W V Jaddoe; Henning Tiemeier; Tonya White; Vince Calhoun
Journal:  Hum Brain Mapp       Date:  2018-03-30       Impact factor: 5.038

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