Corrigendum to “Predicting autistic traits, anxiety and depression symptoms using camouflaging autistic traits questionnaire (CAT-Q-ES): A machine learning study” [Research in Autism 128 (2025) 202712] / Sabela CONDE-PUMPIDO-ZUBIZARRETA in Research in Autism, 133 (May 2026)  

Public ISBD [article]  inResearch in Autism > 133 (May 2026) . - p.202910 Titre : Corrigendum to “Predicting autistic traits, anxiety and depression symptoms using camouflaging autistic traits questionnaire (CAT-Q-ES): A machine learning study” [Research in Autism 128 (2025) 202712] Type de document : texte imprimé Auteurs : Sabela CONDE-PUMPIDO-ZUBIZARRETA, Auteur ; María TUBÍO-FUNGUEIRIÑO, Auteur ; Marta POZO-RODRÍGUEZ, Auteur ; Ángel CARRACEDO, Auteur ; Eva CERNADAS, Auteur ; Manuel FERNÁNDEZ-DELGADO, Auteur ; Montse FERNÁNDEZ-PRIETO, Auteur Article en page(s) : p.202910 Langues : Anglais (eng) Index. décimale : PER Périodiques En ligne : https://doi.org/10.1016/j.reia.2026.202910 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=585 [article] Corrigendum to “Predicting autistic traits, anxiety and depression symptoms using camouflaging autistic traits questionnaire (CAT-Q-ES): A machine learning study” [Research in Autism 128 (2025) 202712] [texte imprimé] / Sabela CONDE-PUMPIDO-ZUBIZARRETA, Auteur ; María TUBÍO-FUNGUEIRIÑO, Auteur ; Marta POZO-RODRÍGUEZ, Auteur ; Ángel CARRACEDO, Auteur ; Eva CERNADAS, Auteur ; Manuel FERNÁNDEZ-DELGADO, Auteur ; Montse FERNÁNDEZ-PRIETO, Auteur . - p.202910. Langues : Anglais (eng) in Research in Autism > 133 (May 2026) . - p.202910 Index. décimale : PER Périodiques En ligne : https://doi.org/10.1016/j.reia.2026.202910 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=585

Predicting autistic traits, anxiety and depression symptoms using camouflaging autistic traits questionnaire (CAT-Q-ES): A machine learning study / Sabela CONDE-PUMPIDO ZUBIZARRETA in Research in Autism, 128 (October 2025)  

Public ISBD [article]  inResearch in Autism > 128 (October 2025) . - p.202712 Titre : Predicting autistic traits, anxiety and depression symptoms using camouflaging autistic traits questionnaire (CAT-Q-ES): A machine learning study Type de document : texte imprimé Auteurs : Sabela CONDE-PUMPIDO ZUBIZARRETA, Auteur ; María TUBÍO-FUNGUEIRIÑO, Auteur ; Marta POZO-RODRÍGUEZ, Auteur ; Ángel CARRACEDO, Auteur ; Eva CERNADAS, Auteur ; Manuel FERNÁNDEZ-DELGADO, Auteur ; Montse FERNÁNDEZ-PRIETO, Auteur Article en page(s) : p.202712 Langues : Anglais (eng) Mots-clés : ASD  Autism  CAT-Q-ES  Camouflaging  Supervised machine learning  Mental health  Gender Index. décimale : PER Périodiques Résumé : Research has linked camouflaging with compensating and hiding autistic traits during social interactions. Furthermore, these strategies have been linked to increased anxiety and depression symptoms and to greater reliance on camouflaging behaviors among individuals with more autistic traits, even in non-autistic populations. This study evaluated the viability of a machine learning algorithm to predict autistic traits and symptoms of depression and anxiety using camouflaging behaviors. The sample included 601 participants: 102 autistic adults (72 women, 18 men, and 12 non-binary individuals) and 499 non-autistic adults (399 women, 92 men, and eight non-binary individuals). The study predicted autistic traits measured with the Broader Autism Phenotype Questionnaire (BAPQ) subscales - Aloofness, Pragmatics, and Rigidity - as well as the total score of depressive (Patient Health Questionnaire - PHQ-9) and anxious symptoms (General Anxiety Disorder - GAD-7) using the individual items from the Camouflaging Autistic Traits Questionnaire Spanish version (CAT-Q-ES) as predictors. We developed fifty supervised learning models, including support vector machines, neural networks, linear regressors, decision trees, random forests, and Gaussian processes, among others. Correlation coefficients between true and predicted scores were strong for Aloofness (R=.85), Pragmatics (R=.82), and Rigidity (R=.74), being only moderate for Depression (R=.60) and Anxiety (R=.54). Autism diagnosis or gender identity did not improve the prediction’s accuracy. These results show the viability of machine learning algorithms to predict autistic traits (Aloofness, Pragmatics and Rigidity) and anxiety-depression symptoms, using the CAT-Q-ES. This suggests potential for developing a tool that may improve autistic traits and emotional problems screening in individuals whose diagnosis is unclear or not yet established, regardless of gender identity. En ligne : https://doi.org/10.1016/j.reia.2025.202712 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=570 [article] Predicting autistic traits, anxiety and depression symptoms using camouflaging autistic traits questionnaire (CAT-Q-ES): A machine learning study [texte imprimé] / Sabela CONDE-PUMPIDO ZUBIZARRETA, Auteur ; María TUBÍO-FUNGUEIRIÑO, Auteur ; Marta POZO-RODRÍGUEZ, Auteur ; Ángel CARRACEDO, Auteur ; Eva CERNADAS, Auteur ; Manuel FERNÁNDEZ-DELGADO, Auteur ; Montse FERNÁNDEZ-PRIETO, Auteur . - p.202712. Langues : Anglais (eng) in Research in Autism > 128 (October 2025) . - p.202712 Mots-clés : ASD  Autism  CAT-Q-ES  Camouflaging  Supervised machine learning  Mental health  Gender Index. décimale : PER Périodiques Résumé : Research has linked camouflaging with compensating and hiding autistic traits during social interactions. Furthermore, these strategies have been linked to increased anxiety and depression symptoms and to greater reliance on camouflaging behaviors among individuals with more autistic traits, even in non-autistic populations. This study evaluated the viability of a machine learning algorithm to predict autistic traits and symptoms of depression and anxiety using camouflaging behaviors. The sample included 601 participants: 102 autistic adults (72 women, 18 men, and 12 non-binary individuals) and 499 non-autistic adults (399 women, 92 men, and eight non-binary individuals). The study predicted autistic traits measured with the Broader Autism Phenotype Questionnaire (BAPQ) subscales - Aloofness, Pragmatics, and Rigidity - as well as the total score of depressive (Patient Health Questionnaire - PHQ-9) and anxious symptoms (General Anxiety Disorder - GAD-7) using the individual items from the Camouflaging Autistic Traits Questionnaire Spanish version (CAT-Q-ES) as predictors. We developed fifty supervised learning models, including support vector machines, neural networks, linear regressors, decision trees, random forests, and Gaussian processes, among others. Correlation coefficients between true and predicted scores were strong for Aloofness (R=.85), Pragmatics (R=.82), and Rigidity (R=.74), being only moderate for Depression (R=.60) and Anxiety (R=.54). Autism diagnosis or gender identity did not improve the prediction’s accuracy. These results show the viability of machine learning algorithms to predict autistic traits (Aloofness, Pragmatics and Rigidity) and anxiety-depression symptoms, using the CAT-Q-ES. This suggests potential for developing a tool that may improve autistic traits and emotional problems screening in individuals whose diagnosis is unclear or not yet established, regardless of gender identity. En ligne : https://doi.org/10.1016/j.reia.2025.202712 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=570

Vicarious Perception of Touch in ASD: The Role of Empathy and Touch Experiences / Ana Rita PEREIRA in Autism Research, 19-6 (June 2026)  

Public ISBD [article]  inAutism Research > 19-6 (June 2026) . - p.e70269 Titre : Vicarious Perception of Touch in ASD: The Role of Empathy and Touch Experiences Type de document : texte imprimé Auteurs : Ana Rita PEREIRA, Auteur ; Marta POZO-RODRÍGUEZ, Auteur ; A. RIBEIRO-CARREIRA, Auteur ; Alberto J. GONZÁLEZ-VILLAR, Auteur ; Sabela Conde-Pumpido ZUBIZARRETA, Auteur ; María TUBÍO-FUNGUEIRIÑO, Auteur ; Ángel CARRACEDO, Auteur ; Montse FERNÁNDEZ-PRIETO, Auteur ; Adriana SAMPAIO, Auteur Article en page(s) : p.e70269 Langues : Anglais (eng) Mots-clés : affective touch  autism spectrum disorder  vicarious touch Index. décimale : PER Périodiques Résumé : ABSTRACT C-Tactile (CT) targeted affective touch plays a central role in social cognition and emotional development. In autism, atypical sensory processing, particularly in response to tactile stimulation, has frequently been reported. Autistic individuals have been shown to exhibit altered perception and reduced hedonic evaluation of affective touch, as well as increased defensive responses. Despite these differences in direct touch, the perception of vicarious social touch or its connection to social and emotional constructs remains poorly explored. Vicarious touch is theoretically relevant because it recruits social-cognitive and affective mechanisms beyond primary somatosensory processing; however, most prior studies have focused on neural correlates in neurotypical adults, with limited behavioral investigation and scarce evidence in autistic populations. The present study evaluated how autistic and non-autistic adolescents and young adults perceive vicarious social touch. Participants observed videos depicting touch delivered at three different speeds (static, CT-optimal, and fast) and across five skin locations (back, upper arm, ventral forearm, dorsal forearm, and palm). Participants provided subjective ratings of how pleasant they believed the touch was for the person in the video (numeric rating scale (NRS) Other/pleasantness) and how much they would like to be touched in the same way (NRS Self/willingness). We also examined associations with empathy and touch-related attitudes. Results showed no group differences in the pleasantness and willingness ratings. However, a significant three-way interaction between speed, skin location, and group emerged for the NRS Self. Across both groups, ratings indicated that speed and skin location modulated ratings, with CT-optimal stroking and touch in the back rated as most pleasant. For NRS Self, male participants reported higher pleasantness than females, across groups. Pleasantness and willingness ratings were positively correlated with attitudes toward touch from friends and family and toward self-care, but not with other touch-related attitudes or empathy scores, across groups. Finally, autistic individuals reported significantly lower empathy and less positive touch-related experiences than non-autistic participants. Overall, these findings suggest that global vicarious touch perception may be relatively preserved in autistic adolescents and young adults, while individual differences in empathy and touch-related experiences may contribute to broader variability in social touch processing. En ligne : https://doi.org/10.1002/aur.70269 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=589 [article] Vicarious Perception of Touch in ASD: The Role of Empathy and Touch Experiences [texte imprimé] / Ana Rita PEREIRA, Auteur ; Marta POZO-RODRÍGUEZ, Auteur ; A. RIBEIRO-CARREIRA, Auteur ; Alberto J. GONZÁLEZ-VILLAR, Auteur ; Sabela Conde-Pumpido ZUBIZARRETA, Auteur ; María TUBÍO-FUNGUEIRIÑO, Auteur ; Ángel CARRACEDO, Auteur ; Montse FERNÁNDEZ-PRIETO, Auteur ; Adriana SAMPAIO, Auteur . - p.e70269. Langues : Anglais (eng) in Autism Research > 19-6 (June 2026) . - p.e70269 Mots-clés : affective touch  autism spectrum disorder  vicarious touch Index. décimale : PER Périodiques Résumé : ABSTRACT C-Tactile (CT) targeted affective touch plays a central role in social cognition and emotional development. In autism, atypical sensory processing, particularly in response to tactile stimulation, has frequently been reported. Autistic individuals have been shown to exhibit altered perception and reduced hedonic evaluation of affective touch, as well as increased defensive responses. Despite these differences in direct touch, the perception of vicarious social touch or its connection to social and emotional constructs remains poorly explored. Vicarious touch is theoretically relevant because it recruits social-cognitive and affective mechanisms beyond primary somatosensory processing; however, most prior studies have focused on neural correlates in neurotypical adults, with limited behavioral investigation and scarce evidence in autistic populations. The present study evaluated how autistic and non-autistic adolescents and young adults perceive vicarious social touch. Participants observed videos depicting touch delivered at three different speeds (static, CT-optimal, and fast) and across five skin locations (back, upper arm, ventral forearm, dorsal forearm, and palm). Participants provided subjective ratings of how pleasant they believed the touch was for the person in the video (numeric rating scale (NRS) Other/pleasantness) and how much they would like to be touched in the same way (NRS Self/willingness). We also examined associations with empathy and touch-related attitudes. Results showed no group differences in the pleasantness and willingness ratings. However, a significant three-way interaction between speed, skin location, and group emerged for the NRS Self. Across both groups, ratings indicated that speed and skin location modulated ratings, with CT-optimal stroking and touch in the back rated as most pleasant. For NRS Self, male participants reported higher pleasantness than females, across groups. Pleasantness and willingness ratings were positively correlated with attitudes toward touch from friends and family and toward self-care, but not with other touch-related attitudes or empathy scores, across groups. Finally, autistic individuals reported significantly lower empathy and less positive touch-related experiences than non-autistic participants. Overall, these findings suggest that global vicarious touch perception may be relatively preserved in autistic adolescents and young adults, while individual differences in empathy and touch-related experiences may contribute to broader variability in social touch processing. En ligne : https://doi.org/10.1002/aur.70269 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=589

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