Autism Spectrum Disorder Versus Attention-Deficit/Hyperactivity Disorder / Kimberly L. H. CARPENTER ; Geraldine DAWSON

Public ISBD in Differential diagnosis of autism spectrum disorder / Katherine K. M. STAVROPOULOS Titre : Autism Spectrum Disorder Versus Attention-Deficit/Hyperactivity Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Kimberly L. H. CARPENTER, Auteur ; Geraldine DAWSON, Auteur Année de publication : 2022 Importance : p.68-85 Langues : Anglais (eng) Index. décimale : AUT-D AUT-D - L'Autisme - Dépistage et Diagnostic Résumé : Although the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) diagnostic criteria for autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) show very little symptom-level overlap between the conditions, similar behavioral challenges are evident in individuals with each of these disorders. Clinical questions often arise about whether presenting concerns should be conceptualized as reflecting a primary diagnosis of ASD or ADHD. The current chapter provides guidelines for the differential diagnosis of these disorders. Using clinical case studies, the chapter describes behaviors that may be understood as part of the core symptom domains of ASD and ADHD. Specific suggestions are provided for disentangling the underlying nosology of common behavioral challenges. The chapter ends with recommendations to support differential diagnosis in clinical practice. Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=528 in Differential diagnosis of autism spectrum disorder / Katherine K. M. STAVROPOULOS Autism Spectrum Disorder Versus Attention-Deficit/Hyperactivity Disorder [Texte imprimé et/ou numérique] / Kimberly L. H. CARPENTER, Auteur ; Geraldine DAWSON, Auteur . - 2022 . - p.68-85. Langues : Anglais (eng) Index. décimale : AUT-D AUT-D - L'Autisme - Dépistage et Diagnostic Résumé : Although the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) diagnostic criteria for autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) show very little symptom-level overlap between the conditions, similar behavioral challenges are evident in individuals with each of these disorders. Clinical questions often arise about whether presenting concerns should be conceptualized as reflecting a primary diagnosis of ASD or ADHD. The current chapter provides guidelines for the differential diagnosis of these disorders. Using clinical case studies, the chapter describes behaviors that may be understood as part of the core symptom domains of ASD and ADHD. Specific suggestions are provided for disentangling the underlying nosology of common behavioral challenges. The chapter ends with recommendations to support differential diagnosis in clinical practice. Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=528

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Automated Video Tracking of Autistic Children?s Movement During Caregiver-Child Interaction: An Exploratory Study / Alexandra L. BEY in Journal of Autism and Developmental Disorders, 54-10 (October 2024)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 54-10 (October 2024) . - p.3706-3718 Titre : Automated Video Tracking of Autistic Children?s Movement During Caregiver-Child Interaction: An Exploratory Study Type de document : Texte imprimé et/ou numérique Auteurs : Alexandra L. BEY, Auteur ; Maura SABATOS-DEVITO, Auteur ; Kimberly L. H. CARPENTER, Auteur ; Lauren FRANZ, Auteur ; Jill HOWARD, Auteur ; Saritha VERMEER, Auteur ; Ryan SIMMONS, Auteur ; Jesse D. TROY, Auteur ; Geraldine DAWSON, Auteur Article en page(s) : p.3706-3718 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Objective, quantitative measures of caregiver-child interaction during play are needed to complement caregiver or examiner ratings for clinical assessment and tracking intervention responses. In this exploratory study, we examined the feasibility of using automated video tracking, Noldus EthoVision XT, to measure 159 2-to-7-year-old autistic children?s patterns of movement during play-based, caregiver-child interactions and examined their associations with standard clinical measures and human observational coding of caregiver-child joint engagement. Results revealed that autistic children who exhibited higher durations and velocity of movement were, on average, younger, had lower cognitive abilities, greater autism-related features, spent less time attending to the caregiver, and showed lower levels of joint engagement. After adjusting for age and nonverbal cognitive abilities, we found that children who remained in close proximity to their caregiver were more likely to engage in joint engagement that required support from the caregiver. These findings suggest that video tracking offers promise as a scalable, quantitative, and relevant measure of autism-related behaviors. En ligne : https://doi.org/10.1007/s10803-023-06107-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=536 [article] Automated Video Tracking of Autistic Children?s Movement During Caregiver-Child Interaction: An Exploratory Study [Texte imprimé et/ou numérique] / Alexandra L. BEY, Auteur ; Maura SABATOS-DEVITO, Auteur ; Kimberly L. H. CARPENTER, Auteur ; Lauren FRANZ, Auteur ; Jill HOWARD, Auteur ; Saritha VERMEER, Auteur ; Ryan SIMMONS, Auteur ; Jesse D. TROY, Auteur ; Geraldine DAWSON, Auteur . - p.3706-3718. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 54-10 (October 2024) . - p.3706-3718 Index. décimale : PER Périodiques Résumé : Objective, quantitative measures of caregiver-child interaction during play are needed to complement caregiver or examiner ratings for clinical assessment and tracking intervention responses. In this exploratory study, we examined the feasibility of using automated video tracking, Noldus EthoVision XT, to measure 159 2-to-7-year-old autistic children?s patterns of movement during play-based, caregiver-child interactions and examined their associations with standard clinical measures and human observational coding of caregiver-child joint engagement. Results revealed that autistic children who exhibited higher durations and velocity of movement were, on average, younger, had lower cognitive abilities, greater autism-related features, spent less time attending to the caregiver, and showed lower levels of joint engagement. After adjusting for age and nonverbal cognitive abilities, we found that children who remained in close proximity to their caregiver were more likely to engage in joint engagement that required support from the caregiver. These findings suggest that video tracking offers promise as a scalable, quantitative, and relevant measure of autism-related behaviors. En ligne : https://doi.org/10.1007/s10803-023-06107-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=536

Behavioral characteristics of toddlers later identified with an autism diagnosis, ADHD symptoms, or combined autism and ADHD symptoms / Naomi O. DAVIS ; Reginald Lerebours ; Rachel E. Aiello ; Kimberly L. H. CARPENTER ; Scott COMPTON ; Lauren FRANZ ; Scott H. KOLLINS ; Maura SABATOS-DEVITO ; Marina SPANOS ; Geraldine DAWSON in Journal of Child Psychology and Psychiatry, 66-2 (February 2025)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 66-2 (February 2025) . - p.214-224 Titre : Behavioral characteristics of toddlers later identified with an autism diagnosis, ADHD symptoms, or combined autism and ADHD symptoms : Journal of Child Psychology and Psychiatry Type de document : Texte imprimé et/ou numérique Auteurs : Naomi O. DAVIS, Auteur ; Reginald Lerebours, Auteur ; Rachel E. Aiello, Auteur ; Kimberly L. H. CARPENTER, Auteur ; Scott COMPTON, Auteur ; Lauren FRANZ, Auteur ; Scott H. KOLLINS, Auteur ; Maura SABATOS-DEVITO, Auteur ; Marina SPANOS, Auteur ; Geraldine DAWSON, Auteur Article en page(s) : p.214-224 Langues : Anglais (eng) Mots-clés : Autism  ADHD  screening  preschool children Index. décimale : PER Périodiques Résumé : Background Autism commonly co-occurs with attention-deficit/hyperactivity disorder (ADHD), but less is known regarding how ADHD symptoms impact the early presentation of autism. This study examined early behavioral characteristics of a community sample of toddlers later identified with autism diagnosis, ADHD symptoms, combined autism and ADHD symptoms, or neither condition. Methods Participants were 506 toddlers who were part of a longitudinal study of children's behavioral development. Parents completed questionnaires about their children's behavior at two time points. Four groups were identified based on study measures or medical record: autism diagnosis (n?=?45), elevated ADHD symptoms (n?=?70), autism and ADHD symptoms (n?=?30), or neurotypical development (n?=?361). Relationships between early parent report of autism- and ADHD-related behaviors, social?emotional and behavioral functioning, and caregiver experience and subsequent group designation were evaluated with adjusted linear regression models controlling for sex. Results Significant group differences were found in measures of autism-related behaviors, ADHD-related behaviors, externalizing and internalizing behaviors, and parent support needs (p? En ligne : https://doi.org/10.1111/jcpp.14050 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=545 [article] Behavioral characteristics of toddlers later identified with an autism diagnosis, ADHD symptoms, or combined autism and ADHD symptoms : Journal of Child Psychology and Psychiatry [Texte imprimé et/ou numérique] / Naomi O. DAVIS, Auteur ; Reginald Lerebours, Auteur ; Rachel E. Aiello, Auteur ; Kimberly L. H. CARPENTER, Auteur ; Scott COMPTON, Auteur ; Lauren FRANZ, Auteur ; Scott H. KOLLINS, Auteur ; Maura SABATOS-DEVITO, Auteur ; Marina SPANOS, Auteur ; Geraldine DAWSON, Auteur . - p.214-224. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 66-2 (February 2025) . - p.214-224 Mots-clés : Autism  ADHD  screening  preschool children Index. décimale : PER Périodiques Résumé : Background Autism commonly co-occurs with attention-deficit/hyperactivity disorder (ADHD), but less is known regarding how ADHD symptoms impact the early presentation of autism. This study examined early behavioral characteristics of a community sample of toddlers later identified with autism diagnosis, ADHD symptoms, combined autism and ADHD symptoms, or neither condition. Methods Participants were 506 toddlers who were part of a longitudinal study of children's behavioral development. Parents completed questionnaires about their children's behavior at two time points. Four groups were identified based on study measures or medical record: autism diagnosis (n?=?45), elevated ADHD symptoms (n?=?70), autism and ADHD symptoms (n?=?30), or neurotypical development (n?=?361). Relationships between early parent report of autism- and ADHD-related behaviors, social?emotional and behavioral functioning, and caregiver experience and subsequent group designation were evaluated with adjusted linear regression models controlling for sex. Results Significant group differences were found in measures of autism-related behaviors, ADHD-related behaviors, externalizing and internalizing behaviors, and parent support needs (p? En ligne : https://doi.org/10.1111/jcpp.14050 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=545

Computer vision analysis captures atypical attention in toddlers with autism / K. CAMPBELL in Autism, 23-3 (April 2019)  

Public ISBD [article]  inAutism > 23-3 (April 2019) . - p.619-628 Titre : Computer vision analysis captures atypical attention in toddlers with autism Type de document : Texte imprimé et/ou numérique Auteurs : K. CAMPBELL, Auteur ; Kimberly L. H. CARPENTER, Auteur ; J. HASHEMI, Auteur ; S. ESPINOSA, Auteur ; S. MARSAN, Auteur ; J. S. BORG, Auteur ; Z. CHANG, Auteur ; Q. QIU, Auteur ; S. VERMEER, Auteur ; E. ADLER, Auteur ; M. TEPPER, Auteur ; H. L. EGGER, Auteur ; J. P. BAKER, Auteur ; G. SAPIRO, Auteur ; G. DAWSON, Auteur Article en page(s) : p.619-628 Langues : Anglais (eng) Mots-clés : autism spectrum disorders  behavioral measurement  development  pre-school children  social cognition and social behavior Index. décimale : PER Périodiques Résumé : To demonstrate the capability of computer vision analysis to detect atypical orienting and attention behaviors in toddlers with autism spectrum disorder. One hundered and four toddlers of 16-31 months old (mean = 22) participated in this study. Twenty-two of the toddlers had autism spectrum disorder and 82 had typical development or developmental delay. Toddlers watched video stimuli on a tablet while the built-in camera recorded their head movement. Computer vision analysis measured participants' attention and orienting in response to name calls. Reliability of the computer vision analysis algorithm was tested against a human rater. Differences in behavior were analyzed between the autism spectrum disorder group and the comparison group. Reliability between computer vision analysis and human coding for orienting to name was excellent (intra-class coefficient 0.84, 95% confidence interval 0.67-0.91). Only 8% of toddlers with autism spectrum disorder oriented to name calling on >1 trial, compared to 63% of toddlers in the comparison group (p = 0.002). Mean latency to orient was significantly longer for toddlers with autism spectrum disorder (2.02 vs 1.06 s, p = 0.04). Sensitivity for autism spectrum disorder of atypical orienting was 96% and specificity was 38%. Older toddlers with autism spectrum disorder showed less attention to the videos overall (p = 0.03). Automated coding offers a reliable, quantitative method for detecting atypical social orienting and reduced sustained attention in toddlers with autism spectrum disorder. En ligne : http://dx.doi.org/10.1177/1362361318766247 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=392 [article] Computer vision analysis captures atypical attention in toddlers with autism [Texte imprimé et/ou numérique] / K. CAMPBELL, Auteur ; Kimberly L. H. CARPENTER, Auteur ; J. HASHEMI, Auteur ; S. ESPINOSA, Auteur ; S. MARSAN, Auteur ; J. S. BORG, Auteur ; Z. CHANG, Auteur ; Q. QIU, Auteur ; S. VERMEER, Auteur ; E. ADLER, Auteur ; M. TEPPER, Auteur ; H. L. EGGER, Auteur ; J. P. BAKER, Auteur ; G. SAPIRO, Auteur ; G. DAWSON, Auteur . - p.619-628. Langues : Anglais (eng) in Autism > 23-3 (April 2019) . - p.619-628 Mots-clés : autism spectrum disorders  behavioral measurement  development  pre-school children  social cognition and social behavior Index. décimale : PER Périodiques Résumé : To demonstrate the capability of computer vision analysis to detect atypical orienting and attention behaviors in toddlers with autism spectrum disorder. One hundered and four toddlers of 16-31 months old (mean = 22) participated in this study. Twenty-two of the toddlers had autism spectrum disorder and 82 had typical development or developmental delay. Toddlers watched video stimuli on a tablet while the built-in camera recorded their head movement. Computer vision analysis measured participants' attention and orienting in response to name calls. Reliability of the computer vision analysis algorithm was tested against a human rater. Differences in behavior were analyzed between the autism spectrum disorder group and the comparison group. Reliability between computer vision analysis and human coding for orienting to name was excellent (intra-class coefficient 0.84, 95% confidence interval 0.67-0.91). Only 8% of toddlers with autism spectrum disorder oriented to name calling on >1 trial, compared to 63% of toddlers in the comparison group (p = 0.002). Mean latency to orient was significantly longer for toddlers with autism spectrum disorder (2.02 vs 1.06 s, p = 0.04). Sensitivity for autism spectrum disorder of atypical orienting was 96% and specificity was 38%. Older toddlers with autism spectrum disorder showed less attention to the videos overall (p = 0.03). Automated coding offers a reliable, quantitative method for detecting atypical social orienting and reduced sustained attention in toddlers with autism spectrum disorder. En ligne : http://dx.doi.org/10.1177/1362361318766247 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=392

Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism / Kimberly L. H. CARPENTER in Autism Research, 14-3 (March 2021)  

Public ISBD [article]  inAutism Research > 14-3 (March 2021) . - p.488-499 Titre : Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism Type de document : Texte imprimé et/ou numérique Auteurs : Kimberly L. H. CARPENTER, Auteur ; Jordan HAHEMI, Auteur ; Kathleen CAMPBELL, Auteur ; Steven J. LIPPMANN, Auteur ; Jeffrey P. BAKER, Auteur ; Helen L. EGGER, Auteur ; Steven ESPINOSA, Auteur ; Saritha VERMEER, Auteur ; Guillermo SAPIRO, Auteur ; Geraldine DAWSON, Auteur Article en page(s) : p.488-499 Langues : Anglais (eng) Mots-clés : autism  computer vision  early detection  facial expressions  risk behaviors  Amazon, Google, Cisco, and Microsoft and is a consultant for Apple and Volvo.  Geraldine Dawson is on the Scientific Advisory Boards of Janssen Research and  Development, Akili, Inc., LabCorp, Inc., Tris Pharma, and Roche Pharmaceutical  Company, a consultant for Apple, Inc, Gerson Lehrman Group, Guidepoint, Inc., Teva  Pharmaceuticals, and Axial Ventures, has received grant funding from Janssen  Research and Development, and is CEO of DASIO, LLC (with Guillermo Sapiro). Dawson  receives royalties from Guilford Press, Springer, and Oxford University Press.  Dawson, Sapiro, Carpenter, Hashemi, Campbell, Espinosa, Baker, and Egger helped  develop aspects of the technology that is being used in the study. The technology  has been licensed and Dawson, Sapiro, Carpenter, Hashemi, Espinosa, Baker, Egger,  and Duke University have benefited financially. Index. décimale : PER Périodiques Résumé : Commonly used screening tools for autism spectrum disorder (ASD) generally rely on subjective caregiver questionnaires. While behavioral observation is more objective, it is also expensive, time-consuming, and requires significant expertise to perform. As such, there remains a critical need to develop feasible, scalable, and reliable tools that can characterize ASD risk behaviors. This study assessed the utility of a tablet-based behavioral assessment for eliciting and detecting one type of risk behavior, namely, patterns of facial expression, in 104 toddlers (ASD N =?22) and evaluated whether such patterns differentiated toddlers with and without ASD. The assessment consisted of the child sitting on his/her caregiver's lap and watching brief movies shown on a smart tablet while the embedded camera recorded the child's facial expressions. Computer vision analysis (CVA) automatically detected and tracked facial landmarks, which were used to estimate head position and facial expressions (Positive, Neutral, All Other). Using CVA, specific points throughout the movies were identified that reliably differentiate between children with and without ASD based on their patterns of facial movement and expressions (area under the curves for individual movies ranging from 0.62 to 0.73). During these instances, children with ASD more frequently displayed Neutral expressions compared to children without ASD, who had more All Other expressions. The frequency of All Other expressions was driven by non-ASD children more often displaying raised eyebrows and an open mouth, characteristic of engagement/interest. Preliminary results suggest computational coding of facial movements and expressions via a tablet-based assessment can detect differences in affective expression, one of the early, core features of ASD. LAY SUMMARY: This study tested the use of a tablet in the behavioral assessment of young children with autism. Children watched a series of developmentally appropriate movies and their facial expressions were recorded using the camera embedded in the tablet. Results suggest that computational assessments of facial expressions may be useful in early detection of symptoms of autism. En ligne : http://dx.doi.org/10.1002/aur.2391 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=443 [article] Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism [Texte imprimé et/ou numérique] / Kimberly L. H. CARPENTER, Auteur ; Jordan HAHEMI, Auteur ; Kathleen CAMPBELL, Auteur ; Steven J. LIPPMANN, Auteur ; Jeffrey P. BAKER, Auteur ; Helen L. EGGER, Auteur ; Steven ESPINOSA, Auteur ; Saritha VERMEER, Auteur ; Guillermo SAPIRO, Auteur ; Geraldine DAWSON, Auteur . - p.488-499. Langues : Anglais (eng) in Autism Research > 14-3 (March 2021) . - p.488-499 Mots-clés : autism  computer vision  early detection  facial expressions  risk behaviors  Amazon, Google, Cisco, and Microsoft and is a consultant for Apple and Volvo.  Geraldine Dawson is on the Scientific Advisory Boards of Janssen Research and  Development, Akili, Inc., LabCorp, Inc., Tris Pharma, and Roche Pharmaceutical  Company, a consultant for Apple, Inc, Gerson Lehrman Group, Guidepoint, Inc., Teva  Pharmaceuticals, and Axial Ventures, has received grant funding from Janssen  Research and Development, and is CEO of DASIO, LLC (with Guillermo Sapiro). Dawson  receives royalties from Guilford Press, Springer, and Oxford University Press.  Dawson, Sapiro, Carpenter, Hashemi, Campbell, Espinosa, Baker, and Egger helped  develop aspects of the technology that is being used in the study. The technology  has been licensed and Dawson, Sapiro, Carpenter, Hashemi, Espinosa, Baker, Egger,  and Duke University have benefited financially. Index. décimale : PER Périodiques Résumé : Commonly used screening tools for autism spectrum disorder (ASD) generally rely on subjective caregiver questionnaires. While behavioral observation is more objective, it is also expensive, time-consuming, and requires significant expertise to perform. As such, there remains a critical need to develop feasible, scalable, and reliable tools that can characterize ASD risk behaviors. This study assessed the utility of a tablet-based behavioral assessment for eliciting and detecting one type of risk behavior, namely, patterns of facial expression, in 104 toddlers (ASD N =?22) and evaluated whether such patterns differentiated toddlers with and without ASD. The assessment consisted of the child sitting on his/her caregiver's lap and watching brief movies shown on a smart tablet while the embedded camera recorded the child's facial expressions. Computer vision analysis (CVA) automatically detected and tracked facial landmarks, which were used to estimate head position and facial expressions (Positive, Neutral, All Other). Using CVA, specific points throughout the movies were identified that reliably differentiate between children with and without ASD based on their patterns of facial movement and expressions (area under the curves for individual movies ranging from 0.62 to 0.73). During these instances, children with ASD more frequently displayed Neutral expressions compared to children without ASD, who had more All Other expressions. The frequency of All Other expressions was driven by non-ASD children more often displaying raised eyebrows and an open mouth, characteristic of engagement/interest. Preliminary results suggest computational coding of facial movements and expressions via a tablet-based assessment can detect differences in affective expression, one of the early, core features of ASD. LAY SUMMARY: This study tested the use of a tablet in the behavioral assessment of young children with autism. Children watched a series of developmentally appropriate movies and their facial expressions were recorded using the camera embedded in the tablet. Results suggest that computational assessments of facial expressions may be useful in early detection of symptoms of autism. En ligne : http://dx.doi.org/10.1002/aur.2391 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=443

Distance from Typical Scan Path When Viewing Complex Stimuli in Children with Autism Spectrum Disorder and its Association with Behavior / E. J. TENENBAUM in Journal of Autism and Developmental Disorders, 51-10 (October 2021)  

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Gastrointestinal problems are associated with increased repetitive behaviors but not social communication difficulties in young children with autism spectrum disorders / Payal CHAKRABORTY in Autism, 25-2 (February 2021)  

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Impact of a digital Modified Checklist for Autism in Toddlers-Revised on likelihood and age of autism diagnosis and referral for developmental evaluation / Samantha MAJOR in Autism, 24-7 (October 2020)  

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A lost generation? The impact of the COVID-19 pandemic on early career ASD researchers / C. HARROP in Autism Research, 14-6 (June 2021)  

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Putting Your Money Where Your Mouth is: Examining Metacognition in ASD Using Post-decision Wagering / Kimberly L. H. CARPENTER in Journal of Autism and Developmental Disorders, 49-10 (October 2019)  

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Relationship between quantitative digital behavioral features and clinical profiles in young autistic children / Marika COFFMAN in Autism Research, 16-7 (July 2023)  

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A scalable computational approach to assessing response to name in toddlers with autism / S. PEROCHON in Journal of Child Psychology and Psychiatry, 62-9 (September 2021)  

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A Six-Minute Measure of Vocalizations in Toddlers with Autism Spectrum Disorder / Elena J. TENENBAUM in Autism Research, 13-8 (August 2020)  

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The benefit of directly comparing autism and schizophrenia for revealing mechanisms of social cognitive impairment / Noah J. SASSON in Journal of Neurodevelopmental Disorders, 3-2 (June 2011)  

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