scholarly journals Motor anticipation failure in infants with autism: a retrospective analysis of feeding situations

Autism ◽  
2012 ◽  
Vol 16 (4) ◽  
pp. 420-429 ◽  
Author(s):  
Julie Brisson ◽  
Petra Warreyn ◽  
Josette Serres ◽  
Stephane Foussier ◽  
Jean Adrien-Louis
Keyword(s):  
Autism Spectrum Disorder ◽  
Early Detection ◽  
Retrospective Analysis ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Typical Development ◽  
Adults With Autism ◽  
Home Movies ◽  
Family Home ◽  
Everyday Situation

Previous studies on autism have shown a lack of motor anticipation in children and adults with autism. As part of a programme of research into early detection of autism, we focussed on an everyday situation: spoon-feeding. We hypothesize that an anticipation deficit may be found very early on by observing whether the baby opens his or her mouth in anticipation of the spoon’s approach. The study is based on a retrospective analysis from family home movies. Observation of infants later diagnosed with autism or an autism spectrum disorder (ASD) (n = 13) and infants with typical development (n = 14) between 4 and 6 months old show that the autism/ASD group has an early anticipation deficit.

Driving Comparisons Between Young Adults with Autism Spectrum Disorder and Typical Development

2018 ◽  
Vol 39 (6) ◽  
pp. 451-460 ◽  
Author(s):  
Kristina E. Patrick ◽  
Felicia Hurewitz ◽  
Mark D. McCurdy ◽  
Frederic Taylor Agate ◽  
Brian P. Daly ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Young Adults ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Typical Development ◽  
Adults With Autism ◽  
Young Adults With Autism

scholarly journals Self-reported social impairments predict depressive disorder in adults with autism spectrum disorder

Autism ◽  
2019 ◽  
Vol 24 (2) ◽  
pp. 297-306 ◽  
Author(s):  
Talena C Day ◽  
Kathryn A McNaughton ◽  
Adam J Naples ◽  
James C McPartland
Keyword(s):  
Autism Spectrum Disorder ◽  
Depressive Disorder ◽  
Cognitive Ability ◽  
Symptom Severity ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Typical Development ◽  
Adults With Autism ◽  
Social Impairments ◽  
Autism Spectrum Disorder Group

In adults with autism spectrum disorder, co-occurring psychiatric conditions are prevalent, and depression is one of the most common co-occurring disorders. This study examined the relationship between depression and cognitive ability, autism symptom severity, and self-reported social impairments in autism spectrum disorder. A total of 33 adults with autism spectrum disorder and 28 adults with typical development completed a standardized psychiatric interview, cognitive test, measure of clinician-rated autism symptom severity, and self-report of social impairments. Nine participants with autism spectrum disorder (27%) met the criteria for a depressive disorder (autism spectrum disorder + depressive disorder). Relatively more females with autism spectrum disorder had a co-occurring depressive disorder. The typical development group had a higher intelligence quotient than the autism spectrum disorder group, but the autism spectrum disorder + depressive disorder group did not differ from the typical development or autism spectrum disorder group. While the autism spectrum disorder + depressive disorder group had lower clinician-rated autism symptom severity than the autism spectrum disorder group, the autism spectrum disorder + depressive disorder group reported more social impairments than the autism spectrum disorder group. Self-reported social impairments predicted depression in adults with autism spectrum disorder when accounting for symptom severity and cognitive ability. These findings suggest that more self-perceived social impairments are related to depressive disorders in autism spectrum disorder, and may help clinicians identify individuals who are vulnerable in developing a co-occurring depressive disorder. Future directions include follow-up studies with larger cohorts and longitudinal designs to support inferences regarding directionality of these relationships.

scholarly journals Brain Volume Analysis with T1-MRI Data in Autism Spectrum Disorder

2021 ◽  
Author(s):  
Neda Ghobadi Samian ◽  
Keivan Maghooli ◽  
Fardad Farokhi
Keyword(s):  
Autism Spectrum Disorder ◽  
Early Detection ◽  
Brain Volume ◽  
Neurodevelopmental Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Brain Areas ◽  
Adults With Autism ◽  
Left Hand ◽  
The Brain

Purpose: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that is characterized by impaired social interactions. Early detection can prevent the progression of the disease. So far, much research has been done to better diagnose autism. Investigation of brain structure using Magnetic Resonance Imaging (MRI) provides valuable information on the evolution of the brain of patients with autism.   Materials and Methods: In this study, we equally selected T1-MRI data from 20 control subjects and 20 patients, aged under 13 years (male and female, right hand and left hand). MRI research has shown that the brain of autistic children has grown locally and globally. In this paper, for the brain volumetric evaluation of autistic patients, the MRI data was segmented and then analyzed with a statistical method, which has been investigated more generally, in both the cortical and subcortical areas. Results: We extracted 110 cortical and subcortical brain areas. The statistical analysis show which areas are important in discriminant between ASD and healthy control groups. According to the results of MRI, an increase in overall growth is seen in the subcortical areas of the brain (amygdala and hippocampus) as well as the cerebellum, but in adults with autism, a decrease in brain volume is seen. Conclusion: In this study, we analyze the T1-MRI data of ASD subjects for early detection of Autism disorder. Our results were shown in the 6 brain areas that have P-values under 0.005. These areas are important in the early detestation and treatment of ASD.

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