Examining the association between variation of ASD and cognitive and affective domains of mentalizing in verbal children with ASD

Cognitive research in autism has often approached mentalizing abilities in global terms, and ultimately judged them to be impaired in Autism Spectrum Disorder (ASD). However, recent studies have demonstrated that these social-cognitive abilities constitute neurocognitive constructs, encompassing both cognitive and affective domains, which are selectively found to be lacking in clinical categories. This study investigates the variation in autistic symptoms in relation to the graduation in gravity of cognitive and affective domains of mentalizing in children with ASD, aged 8 to 12 years. Mentalizing domains are assessed by the false-belief paradigms and by the Reading the Mind in the Eyes tasks in a group of 50 children with ASD. The findings showed that the severity of the children's autistic symptoms is inversely and strongly associated with their performance in first-(<i><u>r</u></i> = -0.762, <i>p</i> < .001) and second-order cognitive mentalizing (<i><u>r</u></i> = -0.674, <i>p</i> < .001), as well as affective mentalizing (<i><u>r</u></i> = -0.653, <i>p</i> < .001). However, the capacity for affective mentalizing was noticeably more impaired compared to those of cognitive mentalizing. The evidence confirms that the lower performance of children with ASD in mentalizing abilities is relatively dependent on the variation in their autistic symptoms and that the cognitive and affective domains of the latter are interrelated constructs.

Authors

Institutions

Publication Details

Journal
Applied Neuropsychology Child
Published
2025-05-15
DOI
https://doi.org/10.1080/21622965.2025.2504502
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Examining the association between variation of ASD and cognitive and affective domains of mentalizing in verbal children with ASD

Azzeddine Charki, Adnane Ettouzani, Fatima Zahra Meklaoui, Amar Charki
Applied Neuropsychology Child
Autism Spectrum Disorder Research
article

Examining the association between variation of ASD and cognitive and affective domains of mentalizing in verbal children with ASD

Azzeddine Charki, Adnane Ettouzani, Fatima Zahra Meklaoui, Amar Charki
article en

Abstract

Cognitive research in autism has often approached mentalizing abilities in global terms, and ultimately judged them to be impaired in Autism Spectrum Disorder (ASD). However, recent studies have demonstrated that these social-cognitive abilities constitute neurocognitive constructs, encompassing both cognitive and affective domains, which are selectively found to be lacking in clinical categories. This study investigates the variation in autistic symptoms in relation to the graduation in gravity of cognitive and affective domains of mentalizing in children with ASD, aged 8 to 12 years. Mentalizing domains are assessed by the false-belief paradigms and by the Reading the Mind in the Eyes tasks in a group of 50 children with ASD. The findings showed that the severity of the children's autistic symptoms is inversely and strongly associated with their performance in first-(<i><u>r</u></i> = -0.762, <i>p</i> < .001) and second-order cognitive mentalizing (<i><u>r</u></i> = -0.674, <i>p</i> < .001), as well as affective mentalizing (<i><u>r</u></i> = -0.653, <i>p</i> < .001). However, the capacity for affective mentalizing was noticeably more impaired compared to those of cognitive mentalizing. The evidence confirms that the lower performance of children with ASD in mentalizing abilities is relatively dependent on the variation in their autistic symptoms and that the cognitive and affective domains of the latter are interrelated constructs.

Applied Neuropsychology Child
Sidi Mohamed Ben Abdellah University (MA), University of Hassan II Casablanca (MA)
Reduced inequalities
Openalex Percentile: Top 90%
Autism Spectrum Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.