Neural mechanisms of encoding social and non-social context information in autism spectrum disorder

2012 ◽  
Vol 50 (14) ◽  
pp. 3440-3449 ◽  
Author(s):  
Ellen Greimel ◽  
Barbara Nehrkorn ◽  
Gereon R. Fink ◽  
Juraj Kukolja ◽  
Gregor Kohls ◽  
...  
2018 ◽  
Vol 49 (3S) ◽  
pp. 668-680 ◽  
Author(s):  
Sabrina Horvath ◽  
Elizabeth McDermott ◽  
Kathleen Reilly ◽  
Sudha Arunachalam

Purpose Our goal was to investigate whether preschool children with autism spectrum disorder (ASD) can begin to learn new word meanings by attending to the linguistic contexts in which they occur, even in the absence of visual or social context. We focused on verbs because of their importance for subsequent language development. Method Thirty-two children with ASD, ages 2;1–4;5 (years;months), participated in a verb-learning task. In a between-subjects design, they were randomly assigned to hear novel verbs in either transitive or intransitive syntactic frames while watching an unrelated silent animation or playing quietly with a toy. In an eye-tracking test, they viewed two video scenes, one depicting a causative event (e.g., boy spinning girl) and the other depicting synchronous events (e.g., boy and girl waving). They were prompted to find the referents of the novel verbs, and their eye gaze was measured. Results Like typically developing children in prior work, children with ASD who had heard the verbs in transitive syntactic frames preferred to look to the causative scene as compared to children who had heard intransitive frames. Conclusions This finding replicates and extends prior work on verb learning in children with ASD by demonstrating that they can attend to a novel verb's syntactic distribution absent relevant visual or social context, and they can use this information to assign the novel verb an appropriate meaning. We discuss points for future research, including examining individual differences that may impact success and contrasting social and nonsocial word-learning tasks directly.


2015 ◽  
Vol 57 (5) ◽  
pp. 584-595 ◽  
Author(s):  
Marguerite E. O'Haire ◽  
Samantha J. McKenzie ◽  
Alan M. Beck ◽  
Virginia Slaughter

Author(s):  
Rachel Sharkey ◽  
Thomas Nickl-Jockschat

There is a long-standing association between exceptional cognitive abilities, of various sorts, and neuropsychiatric illness, but it has historically largely been investigated in an exploratory and non-systematic way. One group in which this association has been investigated with more rigor is in subjects who have been identified as twice exceptional; an educational term describing subjects who are both gifted and diagnosed with a neuropsychiatric disability. This term covers multiple conditions, but is of specific interest in particular in the study of autism spectrum disorder. Recent findings have led to the development of a hypothesis that a certain degree of the neurobiology associated with autism might even be advantageous for individuals and could lead to high giftedness, while becoming disadvantageous, once a certain threshold is surpassed. In this model, the same neurobiological mechanisms confer an increasing advantage up to a certain threshold, but become pathological past that point. Twice-exceptional individuals would be exactly at the inflection point, being highly gifted, but also symptomatic at the same time. Here, we review how existing neuroimaging literature on autism spectrum disorder can inform research on twice exceptionality specifically. We propose to study key neural networks with a robust implication in ASD to identify the neurobiology underlying twice-exceptionality. A better understanding of the neural mechanisms of twice exceptionality should help to better understand resilience and vulnerability to neurodevelopmental disorders and tofurther support affected individuals.


2021 ◽  
Vol 60 (10) ◽  
pp. S169-S170
Author(s):  
Emily T. Wood ◽  
Jillian Melbourne ◽  
Shulamite Green ◽  
Susan Y. Bookheimer ◽  
Mirella Dapretto

2020 ◽  
Vol 13 (5) ◽  
pp. 715-728 ◽  
Author(s):  
Jessica Lynn Kinard ◽  
Maya Gelman Mosner ◽  
Rachel Kirsten Greene ◽  
Merideth Addicott ◽  
Joshua Bizzell ◽  
...  

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