attentional shifting
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Children ◽  
2021 ◽  
Vol 8 (12) ◽  
pp. 1205
Author(s):  
In Young Sung ◽  
Jin Sook Yuk ◽  
Dae-Hyun Jang ◽  
Gijeong Yun ◽  
Chunye Kim ◽  
...  

Traditional education in special schools have some limitations. We aimed to investigate if the ‘touch screen-based cognitive training’ is feasible and effective for children with severe cognitive impairment (developmental age 18–36 months) in special education. In this case, 29 children were randomly allocated to intervention (n = 17, ‘touch screen-based cognitive training’, 30 min/session, 3 times/week, 12 weeks) and control (n = 12, traditional education) groups. Psychoeducational Profile-Revised (PEP-R), Early Childhood Behavior Questionnaire (ECBQ), Sequenced Language Scale for Infants (SELSI), Pediatric Evaluation of Disability Inventory (PEDI), and Goal Attainment Scale (GAS) were measured before and after 12 weeks of education. The ‘touch screen-based cognitive training’ was applicable in special education. When repeated measures analysis of variance (ANOVA) was used, significant groupⅹtime effect was found for GAS, and significant group effect was found for ECBQ (attentional shifting) and GAS. When adjusting for pre-education measurements, the intervention had a significant effect on the post-education measurements of ECBQ (attentional shifting) and GAS (p < 0.05). No relationship existed between the degree of improvements and the severeness of developmental delay in the measurements. ‘Touch screen-based cognitive training’ in special school was feasible and it improved cognition in children with severe cognitive impairment (developmental age 18–36 months), irrespective of the severeness of the developmental delay.


Autism ◽  
2021 ◽  
pp. 136236132110016
Author(s):  
Simona Skripkauskaite ◽  
Lance Slade ◽  
Jennifer Mayer

Atypical attention is considered to have an important role in the development of autism. Yet, it remains unclear whether these attentional difficulties are specific to the social domain. This study aimed to examine attentional orienting in autistic and non-autistic adults from and to non-social and social stimuli. We utilised a modified gap–overlap task with schematic images (Experiment 1: autistic = 27 and non-autistic = 26) and photographs (Experiment 2: autistic = 18 and non-autistic = 17). Eye-tracking data (i.e. saccadic latencies) were then compared across condition and type of stimulus (social or non-social) using multilevel modelling. Autistic adults exhibited mostly typical gap and overlap effects, as well as a bias towards social stimuli. Yet, autistic participants benefitted from exogenous disengagement when orienting to social information more than non-autistic participants. Neither a domain general nor social domain–specific account for attentional atypicalities in autism was supported separately. Yet, subtle combined domain differences were revealed in the gap condition. Lay abstract Previous research has shown that autistic individuals look at other people less and orient to them more slowly than others. Yet, it is still unclear if this represents general visual differences (e.g. slower looking at any new information, social or not) or a uniquely social difference (e.g. only slower looking to humans but not objects). Here, we aimed to examine how quickly autistic and non-autistic adults look to and away from social (i.e. faces) and non-social information (i.e. squares and houses). We used an attentional shifting task with two images where sometimes the first image disappears before the new image appears (makes it easier to notice the new image) and other times it stays on the screen when the new image appears. In Experiment 1, we showed schematic faces and squares to 27 autistic and 26 non-autistic adults, and in Experiment 2, we showed photographs of faces and houses to 18 autistic and 17 non-autistic adults. In general, autistic adults looked at the new non-social or social images similarly to non-autistic adults. Yet, only autistic adults looked at new social information faster when the first image disappeared before the new image appeared. This shows that autistic individuals may find it easier to notice new social information if their attention is not already occupied.


2019 ◽  
Vol 33 (3) ◽  
pp. 335-342 ◽  
Author(s):  
Susan A. Rose ◽  
Sam Wass ◽  
Jeffery J. Jankowski ◽  
Judith F. Feldman ◽  
Aleksandra Djukic

2019 ◽  
Vol 62 (2) ◽  
pp. 324-336 ◽  
Author(s):  
Yara Aljahlan ◽  
Tammie J. Spaulding

Purpose This study investigated attentional shifting in preschool children with specific language impairment (SLI) compared to their typically developing peers. Children's attentional shifting capacity was assessed by varying attentional demands. Method Twenty-five preschool children with SLI and 25 age-matched, typically developing controls participated. A behavioral task measuring attentional shifting within and across multiple dimensions (auditory, linguistic, and visual) was employed. Demands on attentional shifting were increased based on input dimension (low load: staying within dimension; medium load: shifting between 2 dimensions; and high load: shifting among 3 dimensions). Results Compared to controls, the group with SLI made more erroneous responses and exhibited longer response times. Although both groups' error rates were similarly affected by shifting compared to nonshifting trials, their response speed was not. The group with SLI exhibited a larger comparative decrement to their response speed in the high–attentional load condition. Discussion When demands on attentional shifting increase, children with SLI struggle to shift their attention as efficiently to changing stimuli as their unimpaired peers. Potential implications for the assessment and treatment of this population are discussed.


2018 ◽  
Vol 121 ◽  
pp. 153-163 ◽  
Author(s):  
Alon Zivony ◽  
Ayala S. Allon ◽  
Roy Luria ◽  
Dominique Lamy

2018 ◽  
Vol 18 (10) ◽  
pp. 1187
Author(s):  
Alon Zivony ◽  
Ayala Allon ◽  
Roy Luria ◽  
Dominique Lamy

2017 ◽  
Vol 17 (10) ◽  
pp. 639
Author(s):  
Andrea Facoetti ◽  
Piergiorgio Trevisan ◽  
Luca Ronconi ◽  
Sara Bertoni ◽  
Susan Colmar ◽  
...  

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