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Buck Z, Michalchyshyn E, Nishat A, Lisi M, Huang Y, Liu H, Makarenka A, Plyngam CP, Windle A, Yang Z, Walther DB. Aesthetic processing in neurodiverse populations. Neurosci Biobehav Rev 2024; 166:105878. [PMID: 39260715 DOI: 10.1016/j.neubiorev.2024.105878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 08/07/2024] [Accepted: 09/05/2024] [Indexed: 09/13/2024]
Abstract
Neurodiversity is a perspective on cognition which suggests a non-pathological view of individual cognitive differences. Aesthetics research on neurodivergent brains has generally been limited to neuropsychological cases. Although this research has been integral to establishing the neurological correlates of aesthetic experience, it is crucial to expand this paradigm to more psychologically complex disorders. We offer a review of research on aesthetic preference in neurodivergent brains beyond neuropsychological cases: across populations with psychotic disorder, anhedonia and depression, anxiety disorder, and autism. We identify stable patterns of aesthetic bias in these populations, relate these biases to symptoms at perceptual, emotional, and evaluative levels of cognition, review relevant neurological correlates, and connect this evidence to current neuroaesthetics theory. Critically, we synthesize the reviewed evidence and discuss its relevance for three brain networks regularly implicated in aesthetic processing: the mesocorticolimbic reward circuit, frontolimbic connections, and the default mode network. Finally, we propose that broadening the subject populations for neuroaesthetics research to include neurodiverse populations is instrumental for yielding new insights into aesthetic processing in the brain.
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Affiliation(s)
- Zach Buck
- Department of Psychology, University of Toronto, Toronto, Canada
| | | | - Amna Nishat
- Department of Psychology, University of Toronto, Toronto, Canada
| | - Mikayla Lisi
- Department of Psychology, University of Toronto, Toronto, Canada
| | - Yichen Huang
- Department of Psychology, University of Toronto, Toronto, Canada
| | - Hanyu Liu
- Department of Psychology, University of Toronto, Toronto, Canada
| | - Arina Makarenka
- Department of Psychology, University of Toronto, Toronto, Canada
| | | | - Abigail Windle
- Department of Psychology, University of Toronto, Toronto, Canada
| | - Zhen Yang
- Department of Psychology, University of Toronto, Toronto, Canada
| | - Dirk B Walther
- Department of Psychology, University of Toronto, Toronto, Canada.
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Stefanelli G, Pili MP, Crifaci G, Capelli E, Beretta C, Riboldi EM, Billeci L, Cantiani C, Molteni M, Riva V. Pupillary responses for social versus non-social stimuli in autism: A systematic review and meta-analysis. Neurosci Biobehav Rev 2024; 166:105872. [PMID: 39236834 DOI: 10.1016/j.neubiorev.2024.105872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 08/28/2024] [Accepted: 08/31/2024] [Indexed: 09/07/2024]
Abstract
Pupillometry has gained attention as a valuable tool for assessing autonomic nervous system activity and studying phasic changes in pupil size to comprehend underlying neurocognitive mechanisms. However, knowledge regarding pupillary responses to social processing in autism is limited. We conducted a systematic review and meta-analysis, examining research studies on pupil size changes that compare social and non-social stimuli in autism. Electronic searches were performed for articles up to September 2023 and relevant studies were evaluated following PRISMA guidelines. Out of 284 articles screened, 14 studies were eligible for systematic review. The results indicated that non-autistic individuals showed larger pupil size for social compared to non-social stimuli (g = 0.54; 95 % CI [0.25, 0.82]), whereas autistic individuals seemed to exhibit no differences between the two conditions. However, high heterogeneity was observed between studies in autistic populations, compromising interpretability. Despite such limitations, pupillary responses may constitute an objective physiological marker of social processing in autism. This review emphasizes the need for further investigations into pupillary responses in autism across different life stages.
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Affiliation(s)
- Giulia Stefanelli
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Miriam Paola Pili
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
| | - Giulia Crifaci
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Elena Capelli
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Carolina Beretta
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Elena Maria Riboldi
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Lucia Billeci
- Institute of Clinical Physiology, National Research Council of Italy (CNR-IFC), Pisa, Italy.
| | - Chiara Cantiani
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy; Università Cattolica del Sacro Cuore, Milan, Italy.
| | - Massimo Molteni
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
| | - Valentina Riva
- Scientific Institute, IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Lecco, Italy.
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Revilla R, Nelson CM, Friedman NR, Braun SS, Hudac CM. Frontal alpha asymmetry predicts subsequent social decision-making: A dynamic multilevel, neural, and developmental perspective. Dev Cogn Neurosci 2024; 69:101434. [PMID: 39121642 PMCID: PMC11363728 DOI: 10.1016/j.dcn.2024.101434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 07/24/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024] Open
Abstract
Social motivation, the human desire to engage with others, is likely to underlie higher levels of social cognition and the formation of interpersonal relationships. Yet, this topic has been understudied in adolescents despite the critical developmental and maturational changes that occur during this period and the relevance of social motivation to clinical and neurodevelopmental disorders. Using electroencephalography (EEG) and an implicit-association paradigm (Choose-A-Movie Task; Dubey et al., 2015), we examined how brain responses underlying socially motivated decisions informed future decisions in 54 youth (aged 10-14 years) and 50 young adults (aged 18-33 years). As the first study to use this task during EEG recording, we implemented time-frequency analyses and a trial-by-trial dynamic statistical approach. Results suggested that both age groups preferred low-effort choices and increasingly preferred nonsocial choices over time. P3 amplitude also increased over time and was sensitive to effortful decisions, particularly for adults, but not social content. Both groups showed larger leftward frontal alpha asymmetry (FAA) during nonsocial feedback, and FAA predicted future decisions differently for adults than youth. The current study highlights FAA and trial-by-trial analyses as useful tools in understanding the neural mechanisms underlying socially motivated decisions, which differ across development, time, and individuals.
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Affiliation(s)
- Rebecca Revilla
- University of South Carolina, Department of Psychology, 1512 Pendleton Street, Columbia, SC 29208, USA; Institute for Mind and Brain, University of South Carolina, 1800 Gervais Street, Columbia, SC 29201, USA
| | - Cailee M Nelson
- University of South Carolina, Department of Psychology, 1512 Pendleton Street, Columbia, SC 29208, USA; Institute for Mind and Brain, University of South Carolina, 1800 Gervais Street, Columbia, SC 29201, USA; University of South Carolina, Carolina Autism and Neurodevelopment Research Center, 1800 Gervais Street, Columbia, SC 29201, USA
| | - Nicole R Friedman
- University of Alabama, Department of Psychology and Center for Youth Development and Intervention, 745 Hackberry Lane, Tuscaloosa, AL 35401, USA
| | - Summer S Braun
- University of Alabama, Department of Psychology and Center for Youth Development and Intervention, 745 Hackberry Lane, Tuscaloosa, AL 35401, USA
| | - Caitlin M Hudac
- University of South Carolina, Department of Psychology, 1512 Pendleton Street, Columbia, SC 29208, USA; Institute for Mind and Brain, University of South Carolina, 1800 Gervais Street, Columbia, SC 29201, USA; University of South Carolina, Carolina Autism and Neurodevelopment Research Center, 1800 Gervais Street, Columbia, SC 29201, USA.
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Rothwell C, Westermann G, Hartley C. How do Autistic and Neurotypical Children's Interests Influence their Accuracy During Novel Word Learning? J Autism Dev Disord 2024; 54:3301-3315. [PMID: 37530913 PMCID: PMC11362225 DOI: 10.1007/s10803-023-06066-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2023] [Indexed: 08/03/2023]
Abstract
Word learning depends on attention - children must focus on the right things at the right times. However, autistic children often display restricted interests, limiting their intake of stimuli during word learning. This study investigates how category interests influence word learning in autism and neurotypical development. Autistic and neurotypical children matched on receptive vocabulary used a touch-screen computer to learn novel words associated with animals (high-interest stimuli) and objects (neutral-interest stimuli) via fast mapping. Response accuracy and speed were examined at referent selection, 5-minute retention, and 24-hour retention. Both groups identified meanings of novel words associated with unfamiliar animals and objects via mutual exclusivity with comparable accuracy. After 5 minutes, autistic children retained animal names with greater accuracy than neurotypical children. Autistic children showed a greater increase in their accuracy between 5-minute and 24-hour retention and outperformed neurotypical children across conditions after a night's sleep. Across groups, 24-hour retention was predicted by number of target word repetitions heard at referent selection, indicating a relationship between fast mapping input and retention. However, autistic children were slower to respond correctly, particularly in the animal condition. For autistic children, superior word learning associated with high-interest stimuli was relatively short-term, as sleep appeared to consolidate their memory representations for neutral-interest stimuli. Although these results demonstrate that fundamental word learning mechanisms are not atypical in autism, slower response times may signal a speed-accuracy trade-off that could have implications for naturalistic language acquisition. Our findings also indicate favourable environmental conditions to scaffold word learning.
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Affiliation(s)
| | - Gert Westermann
- Department of Psychology, Lancaster University, Lancaster, LA1 4YF, UK.
| | - Calum Hartley
- Department of Psychology, Lancaster University, Lancaster, LA1 4YF, UK.
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Zaharia A, Kojovic N, Rojanawisut T, Sander D, Schaer M, Samson AC. Examining the Link Between Social Affect and Visual Exploration of Cute Stimuli in Autistic Children. J Autism Dev Disord 2024:10.1007/s10803-024-06504-1. [PMID: 39172201 DOI: 10.1007/s10803-024-06504-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/24/2024] [Indexed: 08/23/2024]
Abstract
Baby schema refers to physical features perceived as cute, known to trigger attention, induce positive emotions, and prompt social interactions. Given the reduced visual attention to social stimuli observed in individuals on the autism spectrum, the current study examines whether the sensitivity to baby schema is also affected. We expected that the looking time towards cute-featured stimuli would vary with symptom severity levels and would be associated with social affect. Ninety-four children (31 typically developing; 63 diagnosed with autism spectrum disorder - ASD) aged 20-83 months (M = 49.63, SD = 13.59) completed an eye-tracking visual exploration task. Autistic participants were separated into two groups based on symptom severity: children with high autism severity symptoms (HS ASD; N = 23) and low-moderate autism symptoms (LMS ASD; N = 40). Animals and neutral objects were simultaneously presented on the screen along with either human babies (condition 1) or adults (condition 2). The results indicated that visual attention oriented to cute-featured stimuli varied with autism symptom severity: only LMS and TD groups spend more time looking at cute-featured stimuli (babies; animals) than neutral objects. Moreover, children with higher severity in the social affect domain spent less time on the stimuli depicting cute than non-cute stimuli. These findings suggest that autism symptom severity and social skills are linked to variations in visual attention to cute stimuli. Implications of baby schema sensitivity are discussed in relation to the development of social competencies and play, responsiveness to robot-based interventions, as well as appraised relevance in autistic children.
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Affiliation(s)
- Alexandra Zaharia
- Faculty of Psychology, UniDistance Suisse, Brig, Switzerland.
- Institute of Special Education, University of Fribourg, Fribourg, Switzerland.
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland.
| | - Nada Kojovic
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | | | - David Sander
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Marie Schaer
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Fondation Pôle Autisme, Unité de Recherche, Geneva, Switzerland
| | - Andrea C Samson
- Faculty of Psychology, UniDistance Suisse, Brig, Switzerland
- Institute of Special Education, University of Fribourg, Fribourg, Switzerland
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
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Cavadini T, Riviere E, Gentaz E. An Eye-Tracking Study on Six Early Social-Emotional Abilities in Children Aged 1 to 3 Years. CHILDREN (BASEL, SWITZERLAND) 2024; 11:1031. [PMID: 39201965 PMCID: PMC11352975 DOI: 10.3390/children11081031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 07/29/2024] [Accepted: 08/12/2024] [Indexed: 09/03/2024]
Abstract
BACKGROUND The experimental evaluation of young children's socio-emotional abilities is limited by the lack of existing specific measures to assess this population and by the relative difficulty for researchers to adapt measures designed for the general population. METHODS This study examined six early social-emotional abilities in 86 typically developing children aged 1 to 3 years using an eye-tracking-based experimental paradigm that combined visual preference tasks adapted from pre-existing infant studies. OBJECTIVES The aim of this study is to obtain developmental norms in six early social-emotional abilities in typical children aged 1 to 3 years that would be promising for an understanding of disorders of mental development. These developmental standards are essential to enable comparative assessments with children with atypical development, such as children with Profound Intellectual and Multiple Disabilities (PIMD). RESULTS The participants had greater spontaneous visual preferences for biological (vs. non-biological) motion, socially salient (vs. non-social) stimuli, the eye (vs. mouth) area of emotional expressions, angry (vs. happy) faces, and objects of joint attention (vs. non-looked-at ones). Interestingly, although the prosocial (vs. antisocial) scene of the socio-moral task was preferred, both the helper and hinderer characters were equally gazed at. Finally, correlational analyses revealed that performance was neither related to participants' age nor to each other (dismissing the hypothesis of a common underpinning process). CONCLUSION Our revised experimental paradigm is possible in infants aged 1 to 3 years and thus provides additional scientific proof on the direct assessment of these six socio-emotional abilities in this population.
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Affiliation(s)
- Thalia Cavadini
- Department of Psychology, University of Geneva, 1205 Geneva, Switzerland; (T.C.); (E.R.)
| | - Elliot Riviere
- Department of Psychology, University of Geneva, 1205 Geneva, Switzerland; (T.C.); (E.R.)
- Univ. Lille, ULR 4072–PSITEC–Psychologie: Interactions Temps Emotions Cognition, F-59000 Lille, France
| | - Edouard Gentaz
- Department of Psychology, University of Geneva, 1205 Geneva, Switzerland; (T.C.); (E.R.)
- Swiss Center for Affective Sciences, University of Geneva, 1205 Geneva, Switzerland
- Centre National de la Recherche Scientifique, F-38400 Grenoble, France
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Hou W, Jiang Y, Yang Y, Zhu L, Li J. Evaluating the validity of eye-tracking tasks and stimuli in detecting high-risk infants later diagnosed with autism: A meta-analysis. Clin Psychol Rev 2024; 112:102466. [PMID: 39033664 DOI: 10.1016/j.cpr.2024.102466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/02/2024] [Accepted: 07/08/2024] [Indexed: 07/23/2024]
Abstract
Gaze abnormalities are well documented in infants at elevated risk for autism spectrum disorder (ASD). However, variations in experimental design and stimuli across studies have led to mixed results. The current meta-analysis aimed to identify which type of eye tracking task and stimulus are most effective at differentiating high-risk infants (siblings of children with ASD) who later meet diagnosis criteria from low-risk infants without familial autism. We synthesized 35 studies that used eye tracking to investigate gaze behavior in infants at high genetic risk for autism before 2 years of age. We found that stimulus features, regions of interest (ROIs) and study quality moderated effect sizes across studies. Overall, dynamic stimuli and socially-relevant regions in the social stimuli (i.e. the target and activity of characters' shared focus) reliably detected high-risk infants who later develop ASD. Attention disengagement task and stimuli depicting interactions between human and nonhuman characters could identify high-risk infants who later develop ASD and those who have autism-related symptoms but do not meet the diagnostic criteria as well. These findings provide sensitive and reliable early markers of ASD, which is helpful to develop objective and quantitative early autism screening and intervention tools.
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Affiliation(s)
- Wenwen Hou
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yingying Jiang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yunmei Yang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Liqi Zhu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jing Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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Ford A, Walum H, Brice B, Patel H, Kunnikuru S, Jones W, Berman GJ, Shultz S. Caregiver greeting to infants under 6 months already reflects emerging differences in those later diagnosed with autism. Proc Biol Sci 2024; 291:20232494. [PMID: 38872278 DOI: 10.1098/rspb.2023.2494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 04/15/2024] [Indexed: 06/15/2024] Open
Abstract
As infants develop, caregivers adjust their behaviour to scaffold their infant's emerging skills, such that changes in infants' social abilities are expected to elicit changes in caregiver behaviour. We examined whether changes in the probability of infant-directed caregiving behaviour-specifically, greeting, a ubiquitous signal used by caregivers to initiate reciprocal interactions-differ between infant-caregiver dyads with an infant later diagnosed with autism and dyads with a neurotypically developing infant during infants' first 6 months. Using longitudinal data from 163 dyads, we found that caregivers in autism dyads (n = 40) used greeting less and at later infant ages than caregivers with a neurotypically developing infant (neurotypical dyads, n = 83). Caregivers in dyads with infants at elevated familial genetic likelihood for autism who did not receive an autism diagnosis (EL-non-autism dyads, n = 40) showed no differences in greeting compared with neurotypical dyads. Socioeconomic status partially mediated the difference between autism and neurotypical dyads. These findings show that autism and socioeconomic status were associated with the mutually adapted dynamics of dyadic interaction beginning in the first postnatal weeks. Importantly, differences in caregiver greeting observed in autism dyads are not interpreted as suboptimal behaviour from caregivers but rather indicate how early emerging social differences related to autism, years before overt features are present, may alter social learning opportunities elicited by the infant.
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Affiliation(s)
- Aiden Ford
- Neuroscience Graduate Program, Emory University , Atlanta, GA, USA
- Marcus Autism Center , Atlanta, GA, USA
| | - Hasse Walum
- Marcus Autism Center , Atlanta, GA, USA
- Department of Pediatrics, Emory University School of Medicine , Atlanta, GA, USA
| | - Beyonce Brice
- Emory College of Arts and Sciences, Emory University , Atlanta, GA, USA
| | - Hely Patel
- Emory College of Arts and Sciences, Emory University , Atlanta, GA, USA
| | - Sanjana Kunnikuru
- Emory College of Arts and Sciences, Emory University , Atlanta, GA, USA
| | - Warren Jones
- Neuroscience Graduate Program, Emory University , Atlanta, GA, USA
- Marcus Autism Center , Atlanta, GA, USA
- Department of Pediatrics, Emory University School of Medicine , Atlanta, GA, USA
| | - Gordon J Berman
- Neuroscience Graduate Program, Emory University , Atlanta, GA, USA
- Department of Biology, Emory University , Atlanta, GA, USA
| | - Sarah Shultz
- Neuroscience Graduate Program, Emory University , Atlanta, GA, USA
- Marcus Autism Center , Atlanta, GA, USA
- Department of Pediatrics, Emory University School of Medicine , Atlanta, GA, USA
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Courchesne E, Taluja V, Nazari S, Aamodt CM, Pierce K, Duan K, Stophaeros S, Lopez L, Barnes CC, Troxel J, Campbell K, Wang T, Hoekzema K, Eichler EE, Nani JV, Pontes W, Sanchez SS, Lombardo MV, de Souza JS, Hayashi MAF, Muotri AR. Embryonic origin of two ASD subtypes of social symptom severity: the larger the brain cortical organoid size, the more severe the social symptoms. Mol Autism 2024; 15:22. [PMID: 38790065 PMCID: PMC11127428 DOI: 10.1186/s13229-024-00602-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 05/08/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Social affective and communication symptoms are central to autism spectrum disorder (ASD), yet their severity differs across toddlers: Some toddlers with ASD display improving abilities across early ages and develop good social and language skills, while others with "profound" autism have persistently low social, language and cognitive skills and require lifelong care. The biological origins of these opposite ASD social severity subtypes and developmental trajectories are not known. METHODS Because ASD involves early brain overgrowth and excess neurons, we measured size and growth in 4910 embryonic-stage brain cortical organoids (BCOs) from a total of 10 toddlers with ASD and 6 controls (averaging 196 individual BCOs measured/subject). In a 2021 batch, we measured BCOs from 10 ASD and 5 controls. In a 2022 batch, we tested replicability of BCO size and growth effects by generating and measuring an independent batch of BCOs from 6 ASD and 4 control subjects. BCO size was analyzed within the context of our large, one-of-a-kind social symptom, social attention, social brain and social and language psychometric normative datasets ranging from N = 266 to N = 1902 toddlers. BCO growth rates were examined by measuring size changes between 1- and 2-months of organoid development. Neurogenesis markers at 2-months were examined at the cellular level. At the molecular level, we measured activity and expression of Ndel1; Ndel1 is a prime target for cell cycle-activated kinases; known to regulate cell cycle, proliferation, neurogenesis, and growth; and known to be involved in neuropsychiatric conditions. RESULTS At the BCO level, analyses showed BCO size was significantly enlarged by 39% and 41% in ASD in the 2021 and 2022 batches. The larger the embryonic BCO size, the more severe the ASD social symptoms. Correlations between BCO size and social symptoms were r = 0.719 in the 2021 batch and r = 0. 873 in the replication 2022 batch. ASD BCOs grew at an accelerated rate nearly 3 times faster than controls. At the cell level, the two largest ASD BCOs had accelerated neurogenesis. At the molecular level, Ndel1 activity was highly correlated with the growth rate and size of BCOs. Two BCO subtypes were found in ASD toddlers: Those in one subtype had very enlarged BCO size with accelerated rate of growth and neurogenesis; a profound autism clinical phenotype displaying severe social symptoms, reduced social attention, reduced cognitive, very low language and social IQ; and substantially altered growth in specific cortical social, language and sensory regions. Those in a second subtype had milder BCO enlargement and milder social, attention, cognitive, language and cortical differences. LIMITATIONS Larger samples of ASD toddler-derived BCO and clinical phenotypes may reveal additional ASD embryonic subtypes. CONCLUSIONS By embryogenesis, the biological bases of two subtypes of ASD social and brain development-profound autism and mild autism-are already present and measurable and involve dysregulated cell proliferation and accelerated neurogenesis and growth. The larger the embryonic BCO size in ASD, the more severe the toddler's social symptoms and the more reduced the social attention, language ability, and IQ, and the more atypical the growth of social and language brain regions.
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Affiliation(s)
- Eric Courchesne
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA.
| | - Vani Taluja
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Sanaz Nazari
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Caitlin M Aamodt
- Department of Pediatrics and Department of Molecular and Cellular Medicine, University of California, San Diego, Gilman Drive, La Jolla, CA, 92093, USA
| | - Karen Pierce
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Kuaikuai Duan
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Sunny Stophaeros
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Linda Lopez
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Cynthia Carter Barnes
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Jaden Troxel
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Kathleen Campbell
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Tianyun Wang
- Department of Medical Genetics, Center for Medical Genetics, Peking University Health Science Center, Beijing, 100191, China
- Neuroscience Research Institute, Peking University, Key Laboratory for Neuroscience, Ministry of Education of China and National Health Commission of China, Beijing, 100191, China
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, 98195, USA
| | - Joao V Nani
- Department of Pediatrics and Department of Molecular and Cellular Medicine, University of California, San Diego, Gilman Drive, La Jolla, CA, 92093, USA
- Department of Pharmacology, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Wirla Pontes
- Department of Pediatrics and Department of Molecular and Cellular Medicine, University of California, San Diego, Gilman Drive, La Jolla, CA, 92093, USA
| | - Sandra Sanchez Sanchez
- Department of Pediatrics and Department of Molecular and Cellular Medicine, University of California, San Diego, Gilman Drive, La Jolla, CA, 92093, USA
| | - Michael V Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Janaina S de Souza
- Department of Pediatrics and Department of Molecular and Cellular Medicine, University of California, San Diego, Gilman Drive, La Jolla, CA, 92093, USA
| | - Mirian A F Hayashi
- Department of Pharmacology, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Alysson R Muotri
- Department of Pediatrics and Department of Molecular and Cellular Medicine, University of California, San Diego, Gilman Drive, La Jolla, CA, 92093, USA.
- Rady Children's Hospital, Center for Academic Research and Training in Anthropogeny (CARTA), Archealization Center (ArchC), Kavli Institute for Brain and Mind, La Jolla, CA, USA.
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Barreto C, Curtin A, Topoglu Y, Day-Watkins J, Garvin B, Foster G, Ormanoglu Z, Sheridan E, Connell J, Bennett D, Heffler K, Ayaz H. Prefrontal Cortex Responses to Social Video Stimuli in Young Children with and without Autism Spectrum Disorder. Brain Sci 2024; 14:503. [PMID: 38790481 PMCID: PMC11119834 DOI: 10.3390/brainsci14050503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 05/09/2024] [Accepted: 05/11/2024] [Indexed: 05/26/2024] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder affecting individuals worldwide and characterized by deficits in social interaction along with the presence of restricted interest and repetitive behaviors. Despite decades of behavioral research, little is known about the brain mechanisms that influence social behaviors among children with ASD. This, in part, is due to limitations of traditional imaging techniques specifically targeting pediatric populations. As a portable and scalable optical brain monitoring technology, functional near infrared spectroscopy (fNIRS) provides a measure of cerebral hemodynamics related to sensory, motor, or cognitive function. Here, we utilized fNIRS to investigate the prefrontal cortex (PFC) activity of young children with ASD and with typical development while they watched social and nonsocial video clips. The PFC activity of ASD children was significantly higher for social stimuli at medial PFC, which is implicated in social cognition/processing. Moreover, this activity was also consistently correlated with clinical measures, and higher activation of the same brain area only during social video viewing was associated with more ASD symptoms. This is the first study to implement a neuroergonomics approach to investigate cognitive load in response to realistic, complex, and dynamic audiovisual social stimuli for young children with and without autism. Our results further confirm that new generation of portable fNIRS neuroimaging can be used for ecologically valid measurements of the brain function of toddlers and preschool children with ASD.
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Affiliation(s)
- Candida Barreto
- School of Biomedical Engineering, Science, and Health Systems, Drexel University, Philadelphia, PA 19104, USA
| | - Adrian Curtin
- School of Biomedical Engineering, Science, and Health Systems, Drexel University, Philadelphia, PA 19104, USA
| | - Yigit Topoglu
- School of Biomedical Engineering, Science, and Health Systems, Drexel University, Philadelphia, PA 19104, USA
| | | | - Brigid Garvin
- St. Christopher’s Hospital for Children, Philadelphia, PA 19134, USA
| | - Grant Foster
- School of Biomedical Engineering, Science, and Health Systems, Drexel University, Philadelphia, PA 19104, USA
| | - Zuhal Ormanoglu
- School of Biomedical Engineering, Science, and Health Systems, Drexel University, Philadelphia, PA 19104, USA
| | | | - James Connell
- School of Education, Drexel University, Philadelphia, PA 19104, USA
| | - David Bennett
- Department of Psychiatry, College of Medicine, Drexel University, Philadelphia, PA 19129, USA
| | - Karen Heffler
- Department of Psychiatry, College of Medicine, Drexel University, Philadelphia, PA 19129, USA
| | - Hasan Ayaz
- School of Biomedical Engineering, Science, and Health Systems, Drexel University, Philadelphia, PA 19104, USA
- A.J. Drexel Autism Institute, Philadelphia, PA 19104, USA
- Department of Psychological and Brain Sciences, College of Arts and Sciences, Drexel University, Philadelphia, PA 19104, USA
- Drexel Solutions Institute, Drexel University, Philadelphia, PA 19104, USA
- Center for Injury Research and Prevention, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
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11
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Keehn B, Monahan P, Enneking B, Ryan T, Swigonski N, McNally Keehn R. Eye-Tracking Biomarkers and Autism Diagnosis in Primary Care. JAMA Netw Open 2024; 7:e2411190. [PMID: 38743420 PMCID: PMC11094561 DOI: 10.1001/jamanetworkopen.2024.11190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 03/12/2024] [Indexed: 05/16/2024] Open
Abstract
Importance Finding effective and scalable solutions to address diagnostic delays and disparities in autism is a public health imperative. Approaches that integrate eye-tracking biomarkers into tiered community-based models of autism evaluation hold promise for addressing this problem. Objective To determine whether a battery of eye-tracking biomarkers can reliably differentiate young children with and without autism in a community-referred sample collected during clinical evaluation in the primary care setting and to evaluate whether combining eye-tracking biomarkers with primary care practitioner (PCP) diagnosis and diagnostic certainty is associated with diagnostic outcome. Design, Setting, and Participants Early Autism Evaluation (EAE) Hub system PCPs referred a consecutive sample of children to this prospective diagnostic study for blinded eye-tracking index test and follow-up expert evaluation from June 7, 2019, to September 23, 2022. Participants included 146 children (aged 14-48 months) consecutively referred by 7 EAE Hubs. Of 154 children enrolled, 146 provided usable data for at least 1 eye-tracking measure. Main Outcomes and Measures The primary outcomes were sensitivity and specificity of a composite eye-tracking (ie, index) test, which was a consolidated measure based on significant eye-tracking indices, compared with reference standard expert clinical autism diagnosis. Secondary outcome measures were sensitivity and specificity of an integrated approach using an index test and PCP diagnosis and certainty. Results Among 146 children (mean [SD] age, 2.6 [0.6] years; 104 [71%] male; 21 [14%] Hispanic or Latine and 96 [66%] non-Latine White; 102 [70%] with a reference standard autism diagnosis), 113 (77%) had concordant autism outcomes between the index (composite biomarker) and reference outcomes, with 77.5% sensitivity (95% CI, 68.4%-84.5%) and 77.3% specificity (95% CI, 63.0%-87.2%). When index diagnosis was based on the combination of a composite biomarker, PCP diagnosis, and diagnostic certainty, outcomes were concordant with reference standard for 114 of 127 cases (90%) with a sensitivity of 90.7% (95% CI, 83.3%-95.0%) and a specificity of 86.7% (95% CI, 70.3%-94.7%). Conclusions and Relevance In this prospective diagnostic study, a composite eye-tracking biomarker was associated with a best-estimate clinical diagnosis of autism, and an integrated diagnostic model including PCP diagnosis and diagnostic certainty demonstrated improved sensitivity and specificity. These findings suggest that equipping PCPs with a multimethod diagnostic approach has the potential to substantially improve access to timely, accurate diagnosis in local communities.
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Affiliation(s)
- Brandon Keehn
- Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana
| | - Patrick Monahan
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis
| | - Brett Enneking
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis
| | - Tybytha Ryan
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis
| | - Nancy Swigonski
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis
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12
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Fu X, Platt E, Shic F, Bradshaw J. Infant Social Attention Associated with Elevated Likelihood for Autism Spectrum Disorder: A Multi-Method Comparison. J Autism Dev Disord 2024:10.1007/s10803-024-06360-z. [PMID: 38678515 DOI: 10.1007/s10803-024-06360-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2024] [Indexed: 05/01/2024]
Abstract
PURPOSE The study aimed to compare eye tracking (ET) and manual coding (MC) measures of attention to social and nonsocial information in infants with elevated familial likelihood (EL) of autism spectrum disorder (ASD) and low likelihood of ASD (LL). ET provides a temporally and spatially sensitive tool for measuring gaze allocation. Existing evidence suggests that ET is a promising tool for detecting distinct social attention patterns that may serve as a biomarker for ASD. However, ET is prone to data loss, especially in young EL infants. METHODS To increase evidence for ET as a viable tool for capturing atypical social attention in EL infants, the current prospective, longitudinal study obtained ET and MC measures of social and nonsocial attention in 25 EL and 47 LL infants at several time points between 3 and 24 months of age. RESULTS ET data was obtained with a satisfactory success rate of 95.83%, albeit with a higher degree of data loss compared to MC. Infant age and ASD likelihood status did not impact the extent of ET or MC data loss. There was a significant positive association between the ET and MC measures of attention, and separate analyses of attention using ET and AC measures yielded comparable findings. These analyses indicated group differences (EL vs. LL) in age-related change in attention to social vs. nonsocial information. CONCLUSION Together, the findings support infant ET as a promising approach for identifying very early markers associated with ASD likelihood.
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Affiliation(s)
- Xiaoxue Fu
- Department of Psychology, University of South Carolina, Columbia, SC, USA.
| | - Emma Platt
- Department of Psychology, University of South Carolina, Columbia, SC, USA
| | - Frederick Shic
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Jessica Bradshaw
- Department of Psychology, University of South Carolina, Columbia, SC, USA
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13
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Congiu S, Doneddu G, Fadda R. Attention toward Social and Non-Social Stimuli in Preschool Children with Autism Spectrum Disorder: A Paired Preference Eye-Tracking Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:421. [PMID: 38673332 PMCID: PMC11050167 DOI: 10.3390/ijerph21040421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 03/24/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024]
Abstract
Different dimensions of visual attention to social (human faces) and non-social stimuli (objects) were assessed in 19 preschool children with Autism Spectrum Disorder (ASD) and 19 typically developing (TD) age, gender, and IQ-matched controls through an original paired preference eye-tracking paradigm. The present study found a significantly reduced attentional bias toward human faces in children with ASD compared to TD controls. The analysis of the total fixation time showed a significantly reduced preference for faces in children with ASD compared to TD children. Moreover, while TD children showed a significant preference for the face over the object, children in the ASD group observed the two paired pictures for a similar amount of time, thus showing no preference. Besides, children with ASD paid significantly more sustained attention to the objects than TD children. Children in the TD group paid greater sustained attention to the faces over the objects, while children in the ASD group did not differentiate between objects and faces. Finally, an age effect was found in ASD, as younger children in the group tended to prefer objects and to show more sustained attention towards them. Overall, these findings add to the literature on anomalies in attention toward social and non-social stimuli in young children with ASD compared to their TD counterparts. These results are discussed in the light of previous studies and suggest possible directions for future research.
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Affiliation(s)
- Sara Congiu
- Department of Pedagogy, Psychology, Philosophy, University of Cagliari, 09126 Cagliari, Italy;
| | - Giuseppe Doneddu
- Center for Autism and Related Disorder, Nuovo Centro Fisioterapico Sardo, 09131 Cagliari, Italy;
| | - Roberta Fadda
- Department of Pedagogy, Psychology, Philosophy, University of Cagliari, 09126 Cagliari, Italy;
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14
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Dubey I, Bishain R, Dasgupta J, Bhavnani S, Belmonte MK, Gliga T, Mukherjee D, Lockwood Estrin G, Johnson MH, Chandran S, Patel V, Gulati S, Divan G, Chakrabarti B. Using mobile health technology to assess childhood autism in low-resource community settings in India: An innovation to address the detection gap. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2024; 28:755-769. [PMID: 37458273 PMCID: PMC10913299 DOI: 10.1177/13623613231182801] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
LAY ABSTRACT Autism is diagnosed by highly trained professionals- but most autistic people live in parts of the world that harbour few or no such autism specialists and little autism awareness. So many autistic people go undiagnosed, misdiagnosed, and misunderstood. We designed an app (START) to identify autism and related conditions in such places, in an attempt to address this global gap in access to specialists. START uses computerised games and activities for children and a questionnaire for parents to measure social, sensory, and motor skills. To check whether START can flag undiagnosed children likely to have neurodevelopmental conditions, we tested START with children whose diagnoses already were known: Non-specialist health workers with just a high-school education took START to family homes in poor neighbourhoods of Delhi, India to work with 131 two-to-seven-year-olds. Differences between typically and atypically developing children were highlighted in all three types of skills that START assesses: children with neurodevelopmental conditions preferred looking at geometric patterns rather than social scenes, were fascinated by predictable, repetitive sensory stimuli, and had more trouble with precise hand movements. Parents' responses to surveys further distinguished autistic from non-autistic children. An artificial-intelligence technique combining all these measures demonstrated that START can fairly accurately flag atypically developing children. Health workers and families endorsed START as attractive to most children, understandable to health workers, and adaptable within sometimes chaotic home and family environments. This study provides a proof of principle for START in digital screening of autism and related conditions in community settings.
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Affiliation(s)
- Indu Dubey
- University of Reading, UK
- University of Nottingham, UK
| | | | | | | | - Matthew K Belmonte
- University of Reading, UK
- The Com DEALL Trust, India
- Nottingham Trent University, UK
| | - Teodora Gliga
- University of East Anglia, UK
- University of London, UK
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15
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Yoon CD, Xia Y, Terol AK, Meadan H, Lee JD. Correlation Between Gaze Behaviors and Social Communication Skills of Young Autistic Children: A Meta-Analysis of Eye-Tracking Studies. J Autism Dev Disord 2024:10.1007/s10803-024-06257-x. [PMID: 38400896 DOI: 10.1007/s10803-024-06257-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2024] [Indexed: 02/26/2024]
Abstract
This meta-analysis examined correlations between eye-tracking measures of gaze behaviors manifested during dynamic salient social stimuli and behavioral assessment measures of social communication skills of young autistic children. We employed a multilevel model with random effects to perform three separate meta-analyses for correlation between social communication skills and (a) all gaze behaviors, (b) gaze duration, and (c) gaze transition. Subsequently, we performed meta-regression to assess the role of four moderators, including age, continuum of naturalness of stimuli, gaze metric, and area of interest, on correlation effect sizes that were heterogeneous at the population level. A total of 111 correlation coefficients from 17 studies for 1132 young autistic children or children with high-likelihood for autism (Mage range = 6-95 months) were included in this meta-analysis. The correlation effect sizes for all three meta-analyses were significant, supporting the relation between improved gaze behaviors and better social communication skills. In addition, age, gaze metric, and area of interest were significant moderators. This suggests the importance of identifying meaningful gaze behaviors related to social communication skills and the increasingly influential role of gaze behaviors in shaping social communication skills as young autistic children progress through the early childhood stage. The continuum of naturalness of stimuli, however, was revealed to trend towards having a significant moderating effect. Lastly, it is important to note the evidence of potential publication bias. Our findings are discussed in the context of early identification and intervention and unraveling the complex nature of autism.
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Affiliation(s)
- Christy D Yoon
- Department of Special Education, University of Illinois Urbana-Champaign, 1310 South Sixth Street, Champaign, IL, 61820, USA.
| | - Yan Xia
- Department of Educational Psychology, University of Illinois Urbana-Champaign, 1310 South Sixth Street, Champaign, IL, 61820, USA
| | - Adriana Kaori Terol
- Department of Special Education, University of Illinois Urbana-Champaign, 1310 South Sixth Street, Champaign, IL, 61820, USA
| | - Hedda Meadan
- Department of Special Education, University of Illinois Urbana-Champaign, 1310 South Sixth Street, Champaign, IL, 61820, USA
| | - James D Lee
- Department of Psychiatry and Behavioral Sciences, University of Washington, 6901 Sand Point Way NE, Seattle, WA, 98115, USA
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16
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de Belen RAJ, Eapen V, Bednarz T, Sowmya A. Using visual attention estimation on videos for automated prediction of autism spectrum disorder and symptom severity in preschool children. PLoS One 2024; 19:e0282818. [PMID: 38346053 PMCID: PMC10861059 DOI: 10.1371/journal.pone.0282818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 12/17/2023] [Indexed: 02/15/2024] Open
Abstract
Atypical visual attention in individuals with autism spectrum disorders (ASD) has been utilised as a unique diagnosis criterion in previous research. This paper presents a novel approach to the automatic and quantitative screening of ASD as well as symptom severity prediction in preschool children. We develop a novel computational pipeline that extracts learned features from a dynamic visual stimulus to classify ASD children and predict the level of ASD-related symptoms. Experimental results demonstrate promising performance that is superior to using handcrafted features and machine learning algorithms, in terms of evaluation metrics used in diagnostic tests. Using a leave-one-out cross-validation approach, we obtained an accuracy of 94.59%, a sensitivity of 100%, a specificity of 76.47% and an area under the receiver operating characteristic curve (AUC) of 96% for ASD classification. In addition, we obtained an accuracy of 94.74%, a sensitivity of 87.50%, a specificity of 100% and an AUC of 99% for ASD symptom severity prediction.
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Affiliation(s)
- Ryan Anthony J. de Belen
- School of Computer Science and Engineering, University of New South Wales, New South Wales, Australia
| | - Valsamma Eapen
- School of Psychiatry, University of New South Wales, New South Wales, Australia
| | - Tomasz Bednarz
- School of Art & Design, University of New South Wales, New South Wales, Australia
| | - Arcot Sowmya
- School of Computer Science and Engineering, University of New South Wales, New South Wales, Australia
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17
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Al-Shaban FA, Ghazal I, Thompson IR, Klingemier EW, Aldosari M, Al-Shammari H, Al-Faraj F, El-Hag S, Tolefat M, Ali M, Nasir B, Frazier TW. Development and validation of an Arabic language eye-tracking paradigm for the early screening and diagnosis of autism spectrum disorders in Qatar. Autism Res 2023; 16:2291-2301. [PMID: 38013243 PMCID: PMC10841856 DOI: 10.1002/aur.3046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 10/14/2023] [Indexed: 11/29/2023]
Abstract
Abnormal eye gaze is a hallmark characteristic of autism spectrum disorder (ASD). The primary aim of the present research was to develop an Arabic version of an objective measure of ASD, the "autism index" (AI), based on eye gaze tracking to social and nonsocial stimuli validated initially in the United States. The initial phase of this study included the translation of English language eye-tracking stimuli into stimuli appropriate for an Arabic-speaking culture. During the second phase, we tested it on a total of 144 children with ASD, and 96 controls. The AI had excellent internal consistency and test-retest reliability. Moreover, the AI showed good differentiation of ASD from control cases (AUC = 0.730, SE = 0.035). The AI was significantly positively correlated with SCQ total raw scores (r = 0.46, p < 0.001). ADOS-2 scores were only available in the ASD group and did not show a significant relationship with AI scores (r = 0.10, p = 0.348), likely due to the restricted range. The AI, when implemented using Arabic-translated stimuli in a Qatari sample, showed good diagnostic differentiation and a strong correlation with parent-reported ASD symptoms. Thus, the AI appears to have cross-cultural validity and may be useful as a diagnostic aide to inform clinical judgment and track ASD symptom levels as part of the evaluation process.
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Affiliation(s)
- Fouad A Al-Shaban
- Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - Iman Ghazal
- Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - I Richard Thompson
- Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | | | | | - Hawraa Al-Shammari
- Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - Fatema Al-Faraj
- Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - Saba El-Hag
- Sidra Research, Qatar Foundation, Doha, Qatar
| | - Mohamed Tolefat
- Shafallah Center for Children with Disabilities, Doha, Qatar
| | - Mogahed Ali
- Shafallah Center for Children with Disabilities, Doha, Qatar
| | - Bisher Nasir
- Department of Biology, Drexel University, Philadelphia, Pennsylvania, USA
| | - Thomas W Frazier
- Department of Psychology, John Carroll University, Cleveland, Ohio, USA
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18
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Yamase S, Ishii W, Nagano N, Okahashi A, Deguchi K, Momoki E, Morioka I. The gaze characteristics in preterm children: The appropriate timing for an eye-tracking tool. Brain Dev 2023; 45:571-578. [PMID: 37648626 DOI: 10.1016/j.braindev.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/28/2023] [Accepted: 08/14/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND An objective screening tool for autism spectrum disorder (ASD), also known as an eye-tracking tool, assesses the patient's abnormal gaze patterns and detects the risk of ASD. As this tool is generally used for children born at term, this study aimed to clarify the appropriate timing for using the tool for preterm children, factors that influence the timing, and evaluate their gaze characteristics using the Gazefinder®. METHOD In 90 preterm children, a total of 125 eye-tracking tasks were completed and analyzed in 3-6, 7-9, 10-12, 13-18, and 19-32 months of corrected age (CA). The Gazefinder® was used to compare the mean fixation time percentage (MFP) in each CA and evaluate the gaze patterns. Perinatal factors associated with low MFP were also analyzed. RESULTS Only 50% of the children scored ≥70% MFP at 3-6 months of CA. The MFP increased significantly after 7 months of CA (p = 0.0003), reached 90% at 13-18 months, and 100% at 19-32 months of CA. Chronic lung disease (CLD) was a clinical factor associated with low MFP (p = 0.036). Preterm children gazed more at eyes but gazed at mouths when the mouth moved. CONCLUSION It is necessary for preterm children to begin using Gazefinder® atleast at ≥13 months of age, especially those complicated with CLD. Preterm children prefer gazing at social information just as typically developing children.
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Affiliation(s)
- Soichi Yamase
- Department of Pediatrics and Child Health, Nihon University School of Medicine, Tokyo, Japan
| | - Wakako Ishii
- Department of Pediatrics and Child Health, Nihon University School of Medicine, Tokyo, Japan.
| | - Nobuhiko Nagano
- Department of Pediatrics and Child Health, Nihon University School of Medicine, Tokyo, Japan
| | - Aya Okahashi
- Department of Pediatrics and Child Health, Nihon University School of Medicine, Tokyo, Japan
| | - Kimiko Deguchi
- Department of Pediatrics and Child Health, Nihon University School of Medicine, Tokyo, Japan; Deguchi Pediatric Clinic, Omura, Japan
| | - Emiko Momoki
- Department of Pediatrics and Child Health, Nihon University School of Medicine, Tokyo, Japan
| | - Ichiro Morioka
- Department of Pediatrics and Child Health, Nihon University School of Medicine, Tokyo, Japan
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19
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Meng F, Li F, Wu S, Yang T, Xiao Z, Zhang Y, Liu Z, Lu J, Luo X. Machine learning-based early diagnosis of autism according to eye movements of real and artificial faces scanning. Front Neurosci 2023; 17:1170951. [PMID: 37795184 PMCID: PMC10545898 DOI: 10.3389/fnins.2023.1170951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 08/17/2023] [Indexed: 10/06/2023] Open
Abstract
Background Studies on eye movements found that children with autism spectrum disorder (ASD) had abnormal gaze behavior to social stimuli. The current study aimed to investigate whether their eye movement patterns in relation to cartoon characters or real people could be useful in identifying ASD children. Methods Eye-tracking tests based on videos of cartoon characters and real people were performed for ASD and typically developing (TD) children aged between 12 and 60 months. A three-level hierarchical structure including participants, events, and areas of interest was used to arrange the data obtained from eye-tracking tests. Random forest was adopted as the feature selection tool and classifier, and the flattened vectors and diagnostic information were used as features and labels. A logistic regression was used to evaluate the impact of the most important features. Results A total of 161 children (117 ASD and 44 TD) with a mean age of 39.70 ± 12.27 months were recruited. The overall accuracy, precision, and recall of the model were 0.73, 0.73, and 0.75, respectively. Attention to human-related elements was positively related to the diagnosis of ASD, while fixation time for cartoons was negatively related to the diagnosis. Conclusion Using eye-tracking techniques with machine learning algorithms might be promising for identifying ASD. The value of artificial faces, such as cartoon characters, in the field of ASD diagnosis and intervention is worth further exploring.
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Affiliation(s)
- Fanchao Meng
- The National Clinical Research Center for Mental Disorder & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Fenghua Li
- Key Lab of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Shuxian Wu
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Tingyu Yang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhou Xiao
- Department of Child Psychiatry, Kangning Hospital of Shenzhen, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Yujian Zhang
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, Sichuan, China
| | - Zhengkui Liu
- Key Lab of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Jianping Lu
- Department of Child Psychiatry, Kangning Hospital of Shenzhen, Shenzhen Mental Health Center, Shenzhen, Guangdong, China
| | - Xuerong Luo
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
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20
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Thérien VD, Degré-Pelletier J, Barbeau EB, Samson F, Soulières I. Different levels of visuospatial abilities linked to differential brain correlates underlying visual mental segmentation processes in autism. Cereb Cortex 2023; 33:9186-9211. [PMID: 37317036 PMCID: PMC10350832 DOI: 10.1093/cercor/bhad195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 05/10/2023] [Accepted: 05/11/2023] [Indexed: 06/16/2023] Open
Abstract
The neural underpinnings of enhanced locally oriented visual processing that are specific to autistics with a Wechsler's Block Design (BD) peak are largely unknown. Here, we investigated the brain correlates underlying visual segmentation associated with the well-established autistic superior visuospatial abilities in distinct subgroups using functional magnetic resonance imaging. This study included 31 male autistic adults (15 with (AUTp) and 16 without (AUTnp) a BD peak) and 28 male adults with typical development (TYP). Participants completed a computerized adapted BD task with models having low and high perceptual cohesiveness (PC). Despite similar behavioral performances, AUTp and AUTnp showed generally higher occipital activation compared with TYP participants. Compared with both AUTnp and TYP participants, the AUTp group showed enhanced task-related functional connectivity within posterior visuoperceptual regions and decreased functional connectivity between frontal and occipital-temporal regions. A diminished modulation in frontal and parietal regions in response to increased PC was also found in AUTp participants, suggesting heavier reliance on low-level processing of global figures. This study demonstrates that enhanced visual functioning is specific to a cognitive phenotypic subgroup of autistics with superior visuospatial abilities and reinforces the need to address autistic heterogeneity by good cognitive characterization of samples in future studies.
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Affiliation(s)
- Véronique D Thérien
- Laboratory on Intelligence and Development in Autism, Department of Psychology, Université du Québec à Montréal, Montreal, QC H3C 3P8, Canada
- Montreal Cognitive Neuroscience Autism Research Group, CIUSSS du Nord-de-l’île-de-Montreal, 7070, Boulevard Perras, Montréal (Québec) H1E 1A4, Canada
| | - Janie Degré-Pelletier
- Laboratory on Intelligence and Development in Autism, Department of Psychology, Université du Québec à Montréal, Montreal, QC H3C 3P8, Canada
- Montreal Cognitive Neuroscience Autism Research Group, CIUSSS du Nord-de-l’île-de-Montreal, 7070, Boulevard Perras, Montréal (Québec) H1E 1A4, Canada
| | - Elise B Barbeau
- Laboratory on Intelligence and Development in Autism, Department of Psychology, Université du Québec à Montréal, Montreal, QC H3C 3P8, Canada
| | - Fabienne Samson
- Laboratory on Intelligence and Development in Autism, Department of Psychology, Université du Québec à Montréal, Montreal, QC H3C 3P8, Canada
| | - Isabelle Soulières
- Laboratory on Intelligence and Development in Autism, Department of Psychology, Université du Québec à Montréal, Montreal, QC H3C 3P8, Canada
- Montreal Cognitive Neuroscience Autism Research Group, CIUSSS du Nord-de-l’île-de-Montreal, 7070, Boulevard Perras, Montréal (Québec) H1E 1A4, Canada
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21
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Chen J, Wei Z, Xu C, Peng Z, Yang J, Wan G, Chen B, Gong J, Zhou K. Social visual preference mediates the effect of cortical thickness on symptom severity in children with autism spectrum disorder. Front Psychiatry 2023; 14:1132284. [PMID: 37398604 PMCID: PMC10311909 DOI: 10.3389/fpsyt.2023.1132284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 05/29/2023] [Indexed: 07/04/2023] Open
Abstract
Background Evidence suggests that there is a robust relationship between altered neuroanatomy and autistic symptoms in individuals with autism spectrum disorder (ASD). Social visual preference, which is regulated by specific brain regions, is also related to symptom severity. However, there were a few studies explored the potential relationships among brain structure, symptom severity, and social visual preference. Methods The current study investigated relationships among brain structure, social visual preference, and symptom severity in 43 children with ASD and 26 typically developing (TD) children (aged 2-6 years). Results Significant differences were found in social visual preference and cortical morphometry between the two groups. Decreased percentage of fixation time in digital social images (%DSI) was negatively related to not only the thickness of the left fusiform gyrus (FG) and right insula, but also the Calibrated Severity Scores for the Autism Diagnostic Observation Schedule-Social Affect (ADOS-SA-CSS). Mediation analysis showed that %DSI partially mediated the relationship between neuroanatomical alterations (specifically, thickness of the left FG and right insula) and symptom severity. Conclusion These findings offer initial evidence that atypical neuroanatomical alterations may not only result in direct effects on symptom severity but also lead to indirect effects on symptom severity through social visual preference. This finding enhances our understanding of the multiple neural mechanisms implicated in ASD.
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Affiliation(s)
- Jierong Chen
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Zhen Wei
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
- Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou, China
| | - Chuangyong Xu
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Ziwen Peng
- Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Junjie Yang
- Department of Child Health Care, Luohu District Maternal and Child Health Care Hospital, Shenzhen, China
| | - Guobin Wan
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Bin Chen
- Department of Child Psychiatry and Rehabilitation, Affliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Jianhua Gong
- Department of Child Health Care, Luohu District Maternal and Child Health Care Hospital, Shenzhen, China
| | - Keying Zhou
- Department of Pediatrics, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, China
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22
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Valiyamattam GJ, Katti H, Chaganti VK, O'Haire ME, Sachdeva V. Circumscribed interests in autism: Can animals potentially re-engage social attention? RESEARCH IN DEVELOPMENTAL DISABILITIES 2023; 137:104486. [PMID: 37062184 DOI: 10.1016/j.ridd.2023.104486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 02/25/2023] [Accepted: 03/10/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND Circumscribed interests (CI) in autism are highly fixated and repetitive interests, generally centering on non-social and idiosyncratic topics. The increased salience of CI objects often results in decreased social attention, thus interfering with social interactions. Behavioural, biomarker and neuroimaging research points to enhanced social functioning in autistic children in the presence of animals. For instance, neuroimaging studies report a greater activation of reward systems in the brain in response to animal stimuli whereas eye-tracking studies reveal a higher visual preference for animal faces in autistic individuals. This potentially greater social reward attached to animals, introduces the interesting and yet unexplored possibility that the presence of competing animal stimuli may reduce the disproportionately higher visual attention to CI objects. METHOD We examined this using a paired-preference eye-tracking paradigm where images of human and animal faces were paired with CI and non-CI objects. 31 children (ASD n = 16; TD n = 15) participated in the study (3391 observations). RESULTS Autistic children showed a significantly greater visual attention to CI objects whereas typical controls showed a significantly greater visual attention to social images across pairings. Interestingly, pairing with a CI object significantly reduced the social attention elicited to human faces but not animal faces. Further, in pairings with CI objects, significantly greater sustained attention per visit was seen for animal faces when compared to human faces. CONCLUSIONS These results thus suggest that social attention deficits in ASD may not be uniform across human and animal stimuli. Animals may comprise a potentially important stimulus category modulating visual attention in ASD.
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Affiliation(s)
| | - Harish Katti
- Centre for Neuroscience, Indian Institute of Science, Bengaluru, India
| | | | - Marguerite E O'Haire
- Department of Comparative Pathobiology, Purdue University College of Veterinary Medicine, West Lafayette, IN, United States
| | - Virender Sachdeva
- Child Sight Institute, Nimmagadda Prasad Children's Eye Care Centre, L V Prasad Eye Institute, GMRV Campus, Visakhapatnam, India
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23
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Xiao Y, Wen TH, Kupis L, Eyler LT, Taluja V, Troxel J, Goel D, Lombardo MV, Pierce K, Courchesne E. Atypical functional connectivity of temporal cortex with precuneus and visual regions may be an early-age signature of ASD. Mol Autism 2023; 14:11. [PMID: 36899425 PMCID: PMC10007788 DOI: 10.1186/s13229-023-00543-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 02/24/2023] [Indexed: 03/12/2023] Open
Abstract
BACKGROUND Social and language abilities are closely intertwined during early typical development. In autism spectrum disorder (ASD), however, deficits in social and language development are early-age core symptoms. We previously reported that superior temporal cortex, a well-established social and language region, shows reduced activation to social affective speech in ASD toddlers; however, the atypical cortical connectivity that accompanies this deviance remains unknown. METHODS We collected clinical, eye tracking, and resting-state fMRI data from 86 ASD and non-ASD subjects (mean age 2.3 ± 0.7 years). Functional connectivity of left and right superior temporal regions with other cortical regions and correlations between this connectivity and each child's social and language abilities were examined. RESULTS While there was no group difference in functional connectivity, the connectivity between superior temporal cortex and frontal and parietal regions was significantly correlated with language, communication, and social abilities in non-ASD subjects, but these effects were absent in ASD subjects. Instead, ASD subjects, regardless of different social or nonsocial visual preferences, showed atypical correlations between temporal-visual region connectivity and communication ability (r(49) = 0.55, p < 0.001) and between temporal-precuneus connectivity and expressive language ability (r(49) = 0.58, p < 0.001). LIMITATIONS The distinct connectivity-behavior correlation patterns may be related to different developmental stages in ASD and non-ASD subjects. The use of a prior 2-year-old template for spatial normalization may not be optimal for a few subjects beyond this age range. CONCLUSIONS Superior temporal cortex is known to have reduced activation to social affective speech in ASD at early ages, and here we find in ASD toddlers that it also has atypical connectivity with visual and precuneus cortices that is correlated with communication and language ability, a pattern not seen in non-ASD toddlers. This atypicality may be an early-age signature of ASD that also explains why the disorder has deviant early language and social development. Given that these atypical connectivity patterns are also present in older individuals with ASD, we conclude these atypical connectivity patterns persist across age and may explain why successful interventions targeting language and social skills at all ages in ASD are so difficult to achieve.
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Affiliation(s)
- Yaqiong Xiao
- Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, 518107, China.
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA.
| | - Teresa H Wen
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Lauren Kupis
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California, 9500 Gilman Drive, La Jolla, San Diego, CA, 92161, USA
- VISN 22 Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
| | - Vani Taluja
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Jaden Troxel
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Disha Goel
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Michael V Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - Karen Pierce
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Eric Courchesne
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, 92037, USA.
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24
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Koehler JC, Falter-Wagner CM. Digitally assisted diagnostics of autism spectrum disorder. Front Psychiatry 2023; 14:1066284. [PMID: 36816410 PMCID: PMC9928948 DOI: 10.3389/fpsyt.2023.1066284] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 01/11/2023] [Indexed: 02/04/2023] Open
Abstract
Digital technologies have the potential to support psychiatric diagnostics and, in particular, differential diagnostics of autism spectrum disorder in the near future, making clinical decisions more objective, reliable and evidence-based while reducing clinical resources. Multimodal automatized measurement of symptoms at cognitive, behavioral, and neuronal levels combined with artificial intelligence applications offer promising strides toward personalized prognostics and treatment strategies. In addition, these new technologies could enable systematic and continuous assessment of longitudinal symptom development, beyond the usual scope of clinical practice. Early recognition of exacerbation and simplified, as well as detailed, progression control would become possible. Ultimately, digitally assisted diagnostics will advance early recognition. Nonetheless, digital technologies cannot and should not substitute clinical decision making that takes the comprehensive complexity of individual longitudinal and cross-section presentation of autism spectrum disorder into account. Yet, they might aid the clinician by objectifying decision processes and provide a welcome relief to resources in the clinical setting.
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Affiliation(s)
- Jana Christina Koehler
- Department of Psychiatry and Psychotherapy, Medical Faculty, LMU Munich, Munich, Germany
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25
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Robain F, Godel M, Kojovic N, Franchini M, Journal F, Schaer M. Measuring social orienting in preschoolers with autism spectrum disorder using cartoons stimuli. J Psychiatr Res 2022; 156:398-405. [PMID: 36323142 DOI: 10.1016/j.jpsychires.2022.10.039] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 09/27/2022] [Accepted: 10/17/2022] [Indexed: 11/21/2022]
Abstract
Altered social orienting (SO) was proposed as the primary source of socio-communicative difficulties in autism spectrum disorder (ASD). Eye-tracking studies generally confirm a decreased SO in ASD population. However, SO has been scarcely investigated using minimally social stimuli such as cartoons. The extent to which SO might be decreased when watching cartoons is therefore unknown. Yet, it could allow for malleable and child-friendly paradigms that could be sensitive to early atypical visual preference. In this study, 90 preschoolers with ASD (age = 3.19 ± 0 .88) and 20 TD (age = 2.95 ± 1.26) watched two eye-tracking preference tasks. One Realistic task, displaying children dancing versus geometric shapes moving repetitively and a Cartoon task, displaying social and non-social cartoon stimuli with similar movements. We measured SO percentage along with refined visual exploration parameters and compared those of ASD children to TDs. In addition, we investigated their relations with behavioral measures such as symptom severity, developmental and adaptive levels. We evidenced a decreased SO percentage in ASD compared to TD children when watching the Realistic task but not the Cartoon task. We did not identify any other between groups differences. However, we identified several correlations between eye-tracking measures and developmental as well as adaptive measures within the Cartoon task. Together, our results support a preferential orientation of children with autism towards repetitively moving shapes but no decreased SO when measured with minimally social stimuli. Nonetheless, when investigating finer visual exploration parameters, even socially simple stimuli elicited atypical gaze patterns related to early developmental delay.
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Affiliation(s)
- François Robain
- Department of Psychiatry, University of Geneva, Faculty of Medicine, Geneva, Switzerland.
| | - Michel Godel
- Department of Psychiatry, University of Geneva, Faculty of Medicine, Geneva, Switzerland; Fondation Pôle Autisme, Unité de Recherche, 4 place du Cirque, 1204, Geneva, Switzerland
| | - Nada Kojovic
- Department of Psychiatry, University of Geneva, Faculty of Medicine, Geneva, Switzerland
| | - Martina Franchini
- Department of Psychiatry, University of Geneva, Faculty of Medicine, Geneva, Switzerland; Fondation Pôle Autisme, Unité de Recherche, 4 place du Cirque, 1204, Geneva, Switzerland
| | - Fiona Journal
- Department of Psychiatry, University of Geneva, Faculty of Medicine, Geneva, Switzerland; Fondation Pôle Autisme, Unité de Recherche, 4 place du Cirque, 1204, Geneva, Switzerland
| | - Marie Schaer
- Department of Psychiatry, University of Geneva, Faculty of Medicine, Geneva, Switzerland; Fondation Pôle Autisme, Unité de Recherche, 4 place du Cirque, 1204, Geneva, Switzerland
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26
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Polzer L, Freitag CM, Bast N. Pupillometric measures of altered stimulus-evoked locus coeruleus-norepinephrine activity explain attenuated social attention in preschoolers with autism spectrum disorder. Autism Res 2022; 15:2167-2180. [PMID: 36111843 DOI: 10.1002/aur.2818] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 08/23/2022] [Indexed: 12/15/2022]
Abstract
Attenuated social attention has been described as a reduced preference for social compared to geometric motion in preschoolers with autism spectrum disorder (ASD). The locus coeruleus-norpinephrine (LC-NE) system modulates sensory reactivity and is a promising underlying mechanism. LC-NE activity is indexed by a stimulus-evoked pupillary response (SEPR) and partially by a luminance-adaptation pupillary response (LAPR), which were both shown to be aberrant in ASD. We examined whether SEPR and LAPR explain an attenuated social motion preference. We applied pupillometry via video-based eye tracking in young children (18-65 months) with ASD (n = 57) and typically developing (TD) children (n = 39) during a preferential looking paradigm of competing social and geometric motion and a changing light condition paradigm. We found an attenuated social motion preference in the ASD compared to the TD group. This was accompanied by atypical pupillometry showing a smaller SEPR to social motion, a larger SEPR to geometric motion and a reduced LAPR to a dark screen. SEPR but not LAPR explained the group difference in social motion preference. An ASD diagnosis was statistically predicted by the social motion preference, while this effect was mediated by the inclusion of SEPR to geometric and social motion. Our findings suggest a decreased sensory reactivity to social and increased reactivity to non-social motion in ASD, which may concurrently contribute to an attenuated social attention. The LC-NE system is supported as a promising underlying mechanism of altered social attention in young children with ASD, while the specificity of findings remains to be addressed.
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Affiliation(s)
- Leonie Polzer
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe-University, Frankfurt am Main, Germany
| | - Christine M Freitag
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe-University, Frankfurt am Main, Germany
| | - Nico Bast
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe-University, Frankfurt am Main, Germany
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27
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Horien C, Floris DL, Greene AS, Noble S, Rolison M, Tejavibulya L, O'Connor D, McPartland JC, Scheinost D, Chawarska K, Lake EMR, Constable RT. Functional Connectome-Based Predictive Modeling in Autism. Biol Psychiatry 2022; 92:626-642. [PMID: 35690495 PMCID: PMC10948028 DOI: 10.1016/j.biopsych.2022.04.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 04/14/2022] [Accepted: 04/17/2022] [Indexed: 01/08/2023]
Abstract
Autism is a heterogeneous neurodevelopmental condition, and functional magnetic resonance imaging-based studies have helped advance our understanding of its effects on brain network activity. We review how predictive modeling, using measures of functional connectivity and symptoms, has helped reveal key insights into this condition. We discuss how different prediction frameworks can further our understanding of the brain-based features that underlie complex autism symptomatology and consider how predictive models may be used in clinical settings. Throughout, we highlight aspects of study interpretation, such as data decay and sampling biases, that require consideration within the context of this condition. We close by suggesting exciting future directions for predictive modeling in autism.
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Affiliation(s)
- Corey Horien
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, Connecticut; MD-PhD Program, Yale School of Medicine, New Haven, Connecticut.
| | - Dorothea L Floris
- Methods of Plasticity Research, Department of Psychology, University of Zürich, Zurich, Switzerland; Donders Center for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Abigail S Greene
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, Connecticut; MD-PhD Program, Yale School of Medicine, New Haven, Connecticut
| | - Stephanie Noble
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Max Rolison
- Yale Child Study Center, New Haven, Connecticut
| | - Link Tejavibulya
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, Connecticut
| | - David O'Connor
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | - James C McPartland
- Department of Psychology, Yale University, New Haven, Connecticut; Yale Child Study Center, New Haven, Connecticut
| | - Dustin Scheinost
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, Connecticut; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Department of Biomedical Engineering, Yale University, New Haven, Connecticut; Department of Statistics and Data Science, Yale University, New Haven, Connecticut; Yale Child Study Center, New Haven, Connecticut
| | - Katarzyna Chawarska
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut; Department of Statistics and Data Science, Yale University, New Haven, Connecticut; Yale Child Study Center, New Haven, Connecticut
| | - Evelyn M R Lake
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - R Todd Constable
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, Connecticut; Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Department of Biomedical Engineering, Yale University, New Haven, Connecticut.
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28
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Thérien VD, Degré-Pelletier J, Barbeau EB, Samson F, Soulières I. Differential neural correlates underlying mental rotation processes in two distinct cognitive profiles in autism. Neuroimage Clin 2022; 36:103221. [PMID: 36228483 PMCID: PMC9668634 DOI: 10.1016/j.nicl.2022.103221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 09/16/2022] [Accepted: 10/03/2022] [Indexed: 11/11/2022]
Abstract
Enhanced visuospatial abilities characterize the cognitive profile of a subgroup of autistics. However, the neural correlates underlying such cognitive strengths are largely unknown. Using functional magnetic resonance imaging (fMRI), we investigated the neural underpinnings of superior visuospatial functioning in different autistic subgroups. Twenty-seven autistic adults, including 13 with a Wechsler's Block Design peak (AUTp) and 14 without (AUTnp), and 23 typically developed adults (TYP) performed a classic mental rotation task. As expected, AUTp participants were faster at the task compared to TYP. At the neural level, AUTp participants showed enhanced bilateral parietal and occipital activation, stronger occipito-parietal and fronto-occipital connectivity, and diminished fronto-parietal connectivity compared to TYP. On the other hand, AUTnp participants presented greater activation in right and anterior regions compared to AUTp. In addition, reduced connectivity between occipital and parietal regions was observed in AUTnp compared to AUTp and TYP participants. A greater reliance on posterior regions is typically reported in the autism literature. Our results suggest that this commonly reported finding may be specific to a subgroup of autistic individuals with enhanced visuospatial functioning. Moreover, this study demonstrated that increased occipito-frontal synchronization was associated with superior visuospatial abilities in autism. This finding contradicts the long-range under-connectivity hypothesis in autism. Finally, given the relationship between distinct cognitive profiles in autism and our observed differences in brain functioning, future studies should provide an adequate characterization of the autistic subgroups in their research. The main limitations are small sample sizes and the inclusion of male-only participants.
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Affiliation(s)
- Véronique D. Thérien
- Laboratory on Intelligence and Development in Autism, Psychology Department, Université du Québec à Montréal, Montreal, QC, Canada,Montreal Cognitive Neuroscience Autism Research Group, CIUSSS du Nord-de-l’île-de-Montreal, Montreal, QC, Canada
| | - Janie Degré-Pelletier
- Laboratory on Intelligence and Development in Autism, Psychology Department, Université du Québec à Montréal, Montreal, QC, Canada,Montreal Cognitive Neuroscience Autism Research Group, CIUSSS du Nord-de-l’île-de-Montreal, Montreal, QC, Canada
| | - Elise B. Barbeau
- Laboratory on Intelligence and Development in Autism, Psychology Department, Université du Québec à Montréal, Montreal, QC, Canada
| | - Fabienne Samson
- Laboratory on Intelligence and Development in Autism, Psychology Department, Université du Québec à Montréal, Montreal, QC, Canada
| | - Isabelle Soulières
- Laboratory on Intelligence and Development in Autism, Psychology Department, Université du Québec à Montréal, Montreal, QC, Canada,Montreal Cognitive Neuroscience Autism Research Group, CIUSSS du Nord-de-l’île-de-Montreal, Montreal, QC, Canada,Corresponding author at: Psychology Department, Université du Québec à Montréal, C.P. 8888 succursale Centre-ville, Montréal (Québec) H3C 3P8, Canada.
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29
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Keles U, Kliemann D, Byrge L, Saarimäki H, Paul LK, Kennedy DP, Adolphs R. Atypical gaze patterns in autistic adults are heterogeneous across but reliable within individuals. Mol Autism 2022; 13:39. [PMID: 36153629 PMCID: PMC9508778 DOI: 10.1186/s13229-022-00517-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 09/16/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Across behavioral studies, autistic individuals show greater variability than typically developing individuals. However, it remains unknown to what extent this variability arises from heterogeneity across individuals, or from unreliability within individuals. Here, we focus on eye tracking, which provides rich dependent measures that have been used extensively in studies of autism. Autistic individuals have an atypical gaze onto both static visual images and dynamic videos that could be leveraged for diagnostic purposes if the above open question could be addressed. METHODS We tested three competing hypotheses: (1) that gaze patterns of autistic individuals are less reliable or noisier than those of controls, (2) that atypical gaze patterns are individually reliable but heterogeneous across autistic individuals, or (3) that atypical gaze patterns are individually reliable and also homogeneous among autistic individuals. We collected desktop-based eye tracking data from two different full-length television sitcom episodes, at two independent sites (Caltech and Indiana University), in a total of over 150 adult participants (N = 48 autistic individuals with IQ in the normal range, 105 controls) and quantified gaze onto features of the videos using automated computer vision-based feature extraction. RESULTS We found support for the second of these hypotheses. Autistic people and controls showed equivalently reliable gaze onto specific features of videos, such as faces, so much so that individuals could be identified significantly above chance using a fingerprinting approach from video epochs as short as 2 min. However, classification of participants into diagnostic groups based on their eye tracking data failed to produce clear group classifications, due to heterogeneity in the autistic group. LIMITATIONS Three limitations are the relatively small sample size, assessment across only two videos (from the same television series), and the absence of other dependent measures (e.g., neuroimaging or genetics) that might have revealed individual-level variability that was not evident with eye tracking. Future studies should expand to larger samples across longer longitudinal epochs, an aim that is now becoming feasible with Internet- and phone-based eye tracking. CONCLUSIONS These findings pave the way for the investigation of autism subtypes, and for elucidating the specific visual features that best discriminate gaze patterns-directions that will also combine with and inform neuroimaging and genetic studies of this complex disorder.
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Affiliation(s)
- Umit Keles
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, USA.
| | - Dorit Kliemann
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, USA.,Department of Psychological and Brain Sciences, The University of Iowa, Iowa City, USA
| | - Lisa Byrge
- Department of Psychology, University of North Florida, Jacksonville, USA
| | - Heini Saarimäki
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Lynn K Paul
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, USA
| | - Daniel P Kennedy
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, USA
| | - Ralph Adolphs
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, USA.,Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, USA.,Chen Neuroscience Institute, California Institute of Technology, Pasadena, USA
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30
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Tang WYF. Application of Eye Tracker to Detect Visual Processing of Children with Autism Spectrum Disorder. CURRENT DEVELOPMENTAL DISORDERS REPORTS 2022. [DOI: 10.1007/s40474-022-00252-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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31
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Montenegro JTP, Seguin D, Duerden EG. Joint attention in infants at high familial risk for autism spectrum disorder and the association with thalamic and hippocampal macrostructure. Cereb Cortex Commun 2022; 3:tgac029. [PMID: 36072708 PMCID: PMC9441013 DOI: 10.1093/texcom/tgac029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 06/30/2022] [Accepted: 07/05/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Autism spectrum disorder (ASD) is a heritable neurodevelopmental disorder. Infants diagnosed with ASD can show impairments in spontaneous gaze-following and will seldom engage in joint attention (JA). The ability to initiate JA (IJA) can be more significantly impaired than the ability to respond to JA (RJA). In a longitudinal study, 101 infants who had a familial risk for ASD were enrolled (62% males). Participants completed magnetic resonance imaging scans at 4 or 6 months of age. Subcortical volumes (thalamus, hippocampus, amygdala, basal ganglia, ventral diencephalon, and cerebellum) were automatically extracted. Early gaze and JA behaviors were assessed with standardized measures. The majority of infants were IJA nonresponders (n = 93, 92%), and over half were RJA nonresponders (n = 50, 52%). In the nonresponder groups, models testing the association of subcortical volumes with later ASD diagnosis accounted for age, sex, and cerebral volumes. In the nonresponder IJA group, using regression method, the left hippocampus (B = −0.009, aOR = 0.991, P = 0.025), the right thalamus (B = −0.016, aOR = 0.984, P = 0.026), as well as the left thalamus (B = 0.015, aOR = 1.015, P = 0.019), predicted later ASD diagnosis. Alterations in thalamic and hippocampal macrostructure in at-risk infants who do not engage in IJA may reflect an enhanced vulnerability and may be the key predictors of later ASD development.
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Affiliation(s)
- Julia T P Montenegro
- Applied Psychology , Faculty of Education, , London, Ontario N6G1G7, Canada
- Western University, Faculty of Education Building 1137 Western Road , Faculty of Education, , London, Ontario N6G1G7, Canada
| | - Diane Seguin
- Applied Psychology , Faculty of Education, , London, Ontario N6G1G7 , Canada
- Western University, Faculty of Education Building 1137 Western Road , Faculty of Education, , London, Ontario N6G1G7 , Canada
- Physiology & Pharmacology , Schulich School of Medicine and Dentistry, , Medical Science Building, Room 216 1151 Richmond St, London, Ontario N6A5C1 , Canada
- Western University , Schulich School of Medicine and Dentistry, , Medical Science Building, Room 216 1151 Richmond St, London, Ontario N6A5C1 , Canada
| | - Emma G Duerden
- Applied Psychology , Faculty of Education, , Faculty of Education Building 1137 Western Road, London, Ontario N6G1G7 , Canada
- Western University , Faculty of Education, , Faculty of Education Building 1137 Western Road, London, Ontario N6G1G7 , Canada
- Western Institute for Neuroscience, Western University, The Brain and Mind Institute Western Interdisciplinary Research Building , Room 3190 1151 Richmond St, London, Ontario N6A3K7 , Canada
- Biomedical Engineering , Faculty of Engineering, , Amit Chakma Engineering Building, Room 2405 1151 Richmond St, London, Ontario N6A3K7 , Canada
- Western University , Faculty of Engineering, , Amit Chakma Engineering Building, Room 2405 1151 Richmond St, London, Ontario N6A3K7 , Canada
- Psychiatry , Schulich School of Medicine and Dentistry, , Parkwood Institute Mental Health Care Building, F4-430, London, Ontario N6C0A7 , Canada
- University of Western Ontario , Schulich School of Medicine and Dentistry, , Parkwood Institute Mental Health Care Building, F4-430, London, Ontario N6C0A7 , Canada
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Rudling M, Nyström P, Bölte S, Falck-Ytter T. Larger pupil dilation to nonsocial sounds in infants with subsequent autism diagnosis. J Child Psychol Psychiatry 2022; 63:793-801. [PMID: 34519369 DOI: 10.1111/jcpp.13520] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/17/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Studies of infants with an elevated likelihood of autism spectrum disorder can identify basic developmental processes that are associated with subsequently emerging clinical symptoms. Atypical responsiveness to sounds in infancy is such a potential early marker of autism. Here, we used pupillometry to quantify reactivity to social and nonsocial sounds in infants with a subsequent diagnosis. Previous research suggest that pupil dilation reflects attentional alerting, and link it to the locus coeruleus norepinephrine system. METHODS We measured pupil dilation responses to child-directed speech and the sound of running water; sounds infants often hear in their everyday life. The final sample consisted of 99 ten-month-old infants (52 girls), of whom 68 had an elevated likelihood of autism and 31 were typically developing low-likelihood infants. At follow-up (36 months of age), 18 children in the elevated-likelihood group were diagnosed with autism. RESULTS Compared to infants without diagnosis, the infants who were subsequently diagnosed with autism had larger pupil dilation when listening to nonsocial sounds, while reactivity to speech was strikingly similar between groups. In the total sample, more pupil dilation to the nonsocial sound was associated with higher levels of autistic symptoms. We also found that on a trial-by-trial basis, across all conditions and groups, more pupil dilation was associated with making fewer gaze shifts. CONCLUSIONS This study did not find evidence of atypical pupillary reactivity to child-directed speech early in life in autism. Instead, the results suggest that certain nonsocial sounds elicit atypically strong alerting responses in infants with a subsequent autism diagnosis. These findings may have important theoretical and clinical implications.
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Affiliation(s)
- Maja Rudling
- Development and Neurodiversity Lab, Department of Psychology, Uppsala University, Uppsala, Sweden
| | - Pär Nyström
- Uppsala Child and Babylab, Department of Psychology, Uppsala University, Uppsala, Sweden
| | - Sven Bölte
- Department of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.,Curtin Autism Research Group, School of Occupational Therapy, Social Work and Speech Pathology, Curtin University, Bentley, WA, Australia
| | - Terje Falck-Ytter
- Development and Neurodiversity Lab, Department of Psychology, Uppsala University, Uppsala, Sweden.,Department of Women's and Children's Health, Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.,Swedish Collegium for Advanced Study (SCAS), Uppsala, Sweden
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Dubey I, Brett S, Ruta L, Bishain R, Chandran S, Bhavnani S, Belmonte MK, Estrin GL, Johnson M, Gliga T, Chakrabarti B. Quantifying preference for social stimuli in young children using two tasks on a mobile platform. PLoS One 2022; 17:e0265587. [PMID: 35648753 PMCID: PMC9159616 DOI: 10.1371/journal.pone.0265587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 03/07/2022] [Indexed: 11/19/2022] Open
Abstract
Children typically prefer to attend to social stimuli (e.g. faces, smiles) over non-social stimuli (e.g. natural scene, household objects). This preference for social stimuli is believed to be an essential building block for later social skills and healthy social development. Preference for social stimuli are typically measured using either passive viewing or instrumental choice paradigms, but not both. Since these paradigms likely tap into different mechanisms, the current study addresses this gap by administering both of these paradigms on an overlapping sample. In this study, we use a preferential looking task and an instrumental choice task to measure preference for social stimuli in 3-9 year old typically developing children. Children spent longer looking at social stimuli in the preferential looking task but did not show a similar preference for social rewards on the instrumental choice task. Task performance in these two paradigms were not correlated. Social skills were found to be positively related to the preference for social rewards on the choice task. This study points to putatively different mechanisms underlying the preference for social stimuli, and highlights the importance of choice of paradigms in measuring this construct.
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Affiliation(s)
- Indu Dubey
- Centre for Autism, School of Psychology & Clinical Language Sciences, University of Reading, Reading, United Kingdom
| | - Simon Brett
- Centre for Autism, School of Psychology & Clinical Language Sciences, University of Reading, Reading, United Kingdom
| | - Liliana Ruta
- Institute of Applied Sciences and Intelligent Systems, National Research Council of Italy (CNR), Messina, Italy
| | - Rahul Bishain
- Department of Computer Science and Engineering, Indian Institute of Technology Bombay, Mumbai, India
| | - Sharat Chandran
- Department of Computer Science and Engineering, Indian Institute of Technology Bombay, Mumbai, India
| | - Supriya Bhavnani
- Centre for Chronic Conditions and Injuries, Public Health Foundation of India, Gurgaon, India
- Sangath, New Delhi, India
| | - Matthew K. Belmonte
- Com DEALL Trust, Bangalore, India
- Division of Psychology, Nottingham Trent University, Nottingham, United Kingdom
| | - Georgia Lockwood Estrin
- Centre for Brain and Cognitive Development, Birkbeck University of London, London, United Kingdom
| | - Mark Johnson
- School of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Teodora Gliga
- School of Psychology, University of East Anglia, Norwich, United Kingdom
| | - Bhismadev Chakrabarti
- Centre for Autism, School of Psychology & Clinical Language Sciences, University of Reading, Reading, United Kingdom
- Department of Psychology, Ashoka University, Sonipat, India
- India Autism Center, Kolkata, India
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Riddiford JA, Enticott PG, Lavale A, Gurvich C. Gaze and social functioning associations in autism spectrum disorder: A systematic review and meta-analysis. Autism Res 2022; 15:1380-1446. [PMID: 35593039 PMCID: PMC9543973 DOI: 10.1002/aur.2729] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 03/08/2022] [Accepted: 03/28/2022] [Indexed: 12/11/2022]
Abstract
Autism spectrum disorder (ASD) is characterized by significant social functioning impairments, including (but not limited to) emotion recognition, mentalizing, and joint attention. Despite extensive investigation into the correlates of social functioning in ASD, only recently has there been focus on the role of low‐level sensory input, particularly visual processing. Extensive gaze deficits have been described in ASD, from basic saccadic function through to social attention and the processing of complex biological motion. Given that social functioning often relies on accurately processing visual information, inefficient visual processing may contribute to the emergence and sustainment of social functioning difficulties in ASD. To explore the association between measures of gaze and social functioning in ASD, a systematic review and meta‐analysis was conducted. A total of 95 studies were identified from a search of CINAHL Plus, Embase, OVID Medline, and psycINFO databases in July 2021. Findings support associations between increased gaze to the face/head and eye regions with improved social functioning and reduced autism symptom severity. However, gaze allocation to the mouth appears dependent on social and emotional content of scenes and the cognitive profile of participants. This review supports the investigation of gaze variables as potential biomarkers of ASD, although future longitudinal studies are required to investigate the developmental progression of this relationship and to explore the influence of heterogeneity in ASD clinical characteristics.
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Affiliation(s)
- Jacqueline A Riddiford
- Department of Psychiatry, Central Clinical School, Monash University, Melbourne, Victoria
| | - Peter G Enticott
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia
| | - Alex Lavale
- Department of Psychiatry, Central Clinical School, Monash University, Melbourne, Victoria
| | - Caroline Gurvich
- Department of Psychiatry, Central Clinical School, Monash University, Melbourne, Victoria
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An eye-tracking study on autistic children’s visual attention: The use of spatial-progression, time-sequence, colours and shape-patterns in picture book designs. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-03091-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Cavadini T, Courbois Y, Gentaz E. Eye-tracking-based experimental paradigm to assess social-emotional abilities in young individuals with profound intellectual and multiple disabilities. PLoS One 2022; 17:e0266176. [PMID: 35421103 PMCID: PMC9009637 DOI: 10.1371/journal.pone.0266176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 03/15/2022] [Indexed: 11/19/2022] Open
Abstract
Individuals with Profound Intellectual and Multiple Disabilities (PIMD) experience a combination of severe cognitive and motor impairments frequently associated with additional sensory deficits and numerous medical disorders. The purpose of the present study was to propose an experimental paradigm based on eye-tracking that combines various pre-existing tasks from infancy research as an assessment tool. This would enable the investigation of social-emotional abilities in nine young individuals with PIMD through their visual preferences for different types of stimuli. The first objective was to test the feasibility of this paradigm, by expecting individuals to look more at the tasks’ presentation screen than elsewhere during its implementation. The second objective was to investigate whether PIMD individuals exhibit visual preferences for (a) biological (vs. non-biological) motion, (b) socially salient (vs. non-social) scenes, (c) the facial area of the eyes (vs. the mouth), (d) happy (vs. angry) faces, (e) objects of joint attention (vs. non-looked at ones), and for (f) prosocial (vs. anti-social) behaviors similar to those of a control group of typically developing children aged two years on average. Overall, the feasibility of this paradigm proved to be good, resulting in high individual looking rates that were not affected by the presentation or the content of the tasks. Analyses of individual social-emotional abilities, supported by the visual preference patterns of each PIMD individual, firstly revealed strong—but expected—variability both within and between subjects, and secondly highlighted some individual task-specific abilities although few similarities between these individual results and those of the control group were found. These findings underline the great relevance of using this type of paradigm for assessing PIMD individuals and thus contribute to a better understanding of their social and emotional development.
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Affiliation(s)
- Thalia Cavadini
- Department of Psychology, University of Geneva, Geneva, Switzerland
| | - Yannick Courbois
- ULR 4072 - PSITEC - Psychologie: Interactions Temps Émotions Cognition, Univ. Lille, Lille, France
| | - Edouard Gentaz
- Department of Psychology, University of Geneva, Geneva, Switzerland
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
- CNRS, Paris, France
- * E-mail:
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Wen TH, Cheng A, Andreason C, Zahiri J, Xiao Y, Xu R, Bao B, Courchesne E, Barnes CC, Arias SJ, Pierce K. Large scale validation of an early-age eye-tracking biomarker of an autism spectrum disorder subtype. Sci Rep 2022; 12:4253. [PMID: 35277549 PMCID: PMC8917231 DOI: 10.1038/s41598-022-08102-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 02/28/2022] [Indexed: 01/07/2023] Open
Abstract
Few clinically validated biomarkers of ASD exist which can rapidly, accurately, and objectively identify autism during the first years of life and be used to support optimized treatment outcomes and advances in precision medicine. As such, the goal of the present study was to leverage both simple and computationally-advanced approaches to validate an eye-tracking measure of social attention preference, the GeoPref Test, among 1,863 ASD, delayed, or typical toddlers (12-48 months) referred from the community or general population via a primary care universal screening program. Toddlers participated in diagnostic and psychometric evaluations and the GeoPref Test: a 1-min movie containing side-by-side dynamic social and geometric images. Following testing, diagnosis was denoted as ASD, ASD features, LD, GDD, Other, typical sibling of ASD proband, or typical. Relative to other diagnostic groups, ASD toddlers exhibited the highest levels of visual attention towards geometric images and those with especially high fixation levels exhibited poor clinical profiles. Using the 69% fixation threshold, the GeoPref Test had 98% specificity, 17% sensitivity, 81% PPV, and 65% NPV. Sensitivity increased to 33% when saccades were included, with comparable validity across sex, ethnicity, or race. The GeoPref Test was also highly reliable up to 24 months following the initial test. Finally, fixation levels among twins concordant for ASD were significantly correlated, indicating that GeoPref Test performance may be genetically driven. As the GeoPref Test yields few false positives (~ 2%) and is equally valid across demographic categories, the current findings highlight the ability of the GeoPref Test to rapidly and accurately detect autism before the 2nd birthday in a subset of children and serve as a biomarker for a unique ASD subtype in clinical trials.
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Affiliation(s)
- Teresa H Wen
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA.
| | - Amanda Cheng
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Charlene Andreason
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Javad Zahiri
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Yaqiong Xiao
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Ronghui Xu
- Herbert Wertheim School of Public Health and Department of Mathematics, University of California, San Diego, La Jolla, CA, USA
| | - Bokan Bao
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
- Department of Bioinformatics and Systems Biology, University of California, San Diego, La Jolla, CA, USA
| | - Eric Courchesne
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Cynthia Carter Barnes
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Steven J Arias
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA
| | - Karen Pierce
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, 8110 La Jolla Shores Dr., La Jolla, CA, 92037, USA.
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38
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Varma M, Washington P, Chrisman B, Kline A, Leblanc E, Paskov K, Stockham N, Jung JY, Sun MW, Wall DP. Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods. J Med Internet Res 2022; 24:e31830. [PMID: 35166683 PMCID: PMC8889483 DOI: 10.2196/31830] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 12/20/2021] [Accepted: 12/22/2021] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a widespread neurodevelopmental condition with a range of potential causes and symptoms. Standard diagnostic mechanisms for ASD, which involve lengthy parent questionnaires and clinical observation, often result in long waiting times for results. Recent advances in computer vision and mobile technology hold potential for speeding up the diagnostic process by enabling computational analysis of behavioral and social impairments from home videos. Such techniques can improve objectivity and contribute quantitatively to the diagnostic process. OBJECTIVE In this work, we evaluate whether home videos collected from a game-based mobile app can be used to provide diagnostic insights into ASD. To the best of our knowledge, this is the first study attempting to identify potential social indicators of ASD from mobile phone videos without the use of eye-tracking hardware, manual annotations, and structured scenarios or clinical environments. METHODS Here, we used a mobile health app to collect over 11 hours of video footage depicting 95 children engaged in gameplay in a natural home environment. We used automated data set annotations to analyze two social indicators that have previously been shown to differ between children with ASD and their neurotypical (NT) peers: (1) gaze fixation patterns, which represent regions of an individual's visual focus and (2) visual scanning methods, which refer to the ways in which individuals scan their surrounding environment. We compared the gaze fixation and visual scanning methods used by children during a 90-second gameplay video to identify statistically significant differences between the 2 cohorts; we then trained a long short-term memory (LSTM) neural network to determine if gaze indicators could be predictive of ASD. RESULTS Our results show that gaze fixation patterns differ between the 2 cohorts; specifically, we could identify 1 statistically significant region of fixation (P<.001). In addition, we also demonstrate that there are unique visual scanning patterns that exist for individuals with ASD when compared to NT children (P<.001). A deep learning model trained on coarse gaze fixation annotations demonstrates mild predictive power in identifying ASD. CONCLUSIONS Ultimately, our study demonstrates that heterogeneous video data sets collected from mobile devices hold potential for quantifying visual patterns and providing insights into ASD. We show the importance of automated labeling techniques in generating large-scale data sets while simultaneously preserving the privacy of participants, and we demonstrate that specific social engagement indicators associated with ASD can be identified and characterized using such data.
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Affiliation(s)
- Maya Varma
- Department of Computer Science, Stanford University, Stanford, CA, United States
| | - Peter Washington
- Department of Bioengineering, Stanford University, Stanford, CA, United States
| | - Brianna Chrisman
- Department of Bioengineering, Stanford University, Stanford, CA, United States
| | - Aaron Kline
- Department of Pediatrics and Biomedical Data Science, Stanford University, Stanford, CA, United States
| | - Emilie Leblanc
- Department of Pediatrics and Biomedical Data Science, Stanford University, Stanford, CA, United States
| | - Kelley Paskov
- Department of Biomedical Data Science, Stanford University, Stanford, CA, United States
| | - Nate Stockham
- Department of Neuroscience, Stanford University, Stanford, CA, United States
| | - Jae-Yoon Jung
- Department of Pediatrics and Biomedical Data Science, Stanford University, Stanford, CA, United States
| | - Min Woo Sun
- Department of Biomedical Data Science, Stanford University, Stanford, CA, United States
| | - Dennis P Wall
- Department of Pediatrics and Biomedical Data Science, Stanford University, Stanford, CA, United States
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Hudock RL, Esler AN. Clinical considerations when conducting diagnostic evaluations to identify autism spectrum disorder in young children. Clin Neuropsychol 2022; 36:921-942. [DOI: 10.1080/13854046.2022.2025907] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Rebekah L. Hudock
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA
| | - Amy N. Esler
- Division of Clinical Behavioral Neuroscience, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, USA
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40
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Development of a visual attention based decision support system for autism spectrum disorder screening. Int J Psychophysiol 2022; 173:69-81. [PMID: 35007668 DOI: 10.1016/j.ijpsycho.2022.01.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 12/14/2021] [Accepted: 01/04/2022] [Indexed: 11/24/2022]
Abstract
Visual attention of young children with autism spectrum disorder (ASD) has been well documented in the literature for the past 20 years. In this study, we developed a Decision Support System (DSS) that uses machine learning (ML) techniques to identify young children with ASD from typically developing (TD) children. Study participants included 26 to 36 months old young children with ASD (n = 61) and TD children (n = 72). The results showed that the proposed DSS achieved up to 87.5% success rate in the early assessment of ASD in young children. Findings suggested that visual attention is a unique, promising biomarker for early assessment of ASD. Study results were discussed, and suggestions for future research were provided.
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Early development of social attention in toddlers at high familial risk for autism spectrum disorder. Infant Behav Dev 2021; 66:101662. [PMID: 34890953 DOI: 10.1016/j.infbeh.2021.101662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 11/05/2021] [Accepted: 11/07/2021] [Indexed: 11/23/2022]
Abstract
The present study explored the early development of social attention of toddlers at high familial risk (HR) for autism spectrum disorder (ASD). Eighteen HR toddlers and twenty-two toddlers at low familial risk for ASD (LR) between 11 and 24 months were asked to watch paired social and non-social videos. We found that: (1) the initial social preference in HR group decreased with age, but not in LR group; (2) both groups showed significant social habituation across trials, but HR group habituated slightly slower as age increased. These findings suggest that atypical social attention could be an early characteristic of toddlers at high familial risk for ASD.
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Xu H, Xuan X, Zhang L, Zhang W, Zhu M, Zhao X. New Approach to Intelligence Screening for Children With Global Development Delay Using Eye-Tracking Technology: A Pilot Study. Front Neurol 2021; 12:723526. [PMID: 34803871 PMCID: PMC8595207 DOI: 10.3389/fneur.2021.723526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 09/28/2021] [Indexed: 11/23/2022] Open
Abstract
Objective: There has become a consensus for detecting intellectual disability in its early stages and implementing effective intervention. However, there are many difficulties and limitations in the evaluation of intelligence-related scales in low-age children. Eye-tracking technology may effectively solve some of the pain points in the evaluation. Method: We used an eye-tracking technology for cognitive assessment. The subjects looked at a series of task pictures and short videos, the fixation points of which were recorded by the eye-movement analyzer, and the data were statistically analyzed. A total of 120 children aged between 1.5 and 4 years participated in the study, including 60 typically developing children and 60 children with global development delay, all of whom were assessed via the Bayley scale, Peabody Picture Vocabulary Test (PPVT), and Gesell scale. Results: Cognitive scores from eye-tracking technology are closely related to the scores of neuropsychological tests, which shows that the technique performs well as an early diagnostic test of children's intelligence. Conclusions: The results show that children's cognitive development can be quickly screened using eye-tracking technology and that it can track quantitative intelligence scores and sensitively detect intellectual impairment.
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Affiliation(s)
- Hong Xu
- Department of Rehabilitation, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoyan Xuan
- Department of Rehabilitation, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Li Zhang
- Department of Rehabilitation, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Wenxin Zhang
- Department of Rehabilitation, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Min Zhu
- Department of Rehabilitation, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoke Zhao
- Department of Rehabilitation, Children's Hospital of Nanjing Medical University, Nanjing, China
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Zammarchi G, Conversano C. Application of Eye Tracking Technology in Medicine: A Bibliometric Analysis. Vision (Basel) 2021; 5:56. [PMID: 34842855 PMCID: PMC8628933 DOI: 10.3390/vision5040056] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 11/04/2021] [Accepted: 11/08/2021] [Indexed: 11/16/2022] Open
Abstract
Eye tracking provides a quantitative measure of eye movements during different activities. We report the results from a bibliometric analysis to investigate trends in eye tracking research applied to the study of different medical conditions. We conducted a search on the Web of Science Core Collection (WoS) database and analyzed the dataset of 2456 retrieved articles using VOSviewer and the Bibliometrix R package. The most represented area was psychiatry (503, 20.5%) followed by neuroscience (465, 18.9%) and psychology developmental (337, 13.7%). The annual scientific production growth was 11.14% and showed exponential growth with three main peaks in 2011, 2015 and 2017. Extensive collaboration networks were identified between the three countries with the highest scientific production, the USA (35.3%), the UK (9.5%) and Germany (7.3%). Based on term co-occurrence maps and analyses of sources of articles, we identified autism spectrum disorders as the most investigated condition and conducted specific analyses on 638 articles related to this topic which showed an annual scientific production growth of 16.52%. The majority of studies focused on autism used eye tracking to investigate gaze patterns with regards to stimuli related to social interaction. Our analysis highlights the widespread and increasing use of eye tracking in the study of different neurological and psychiatric conditions.
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Affiliation(s)
- Gianpaolo Zammarchi
- Department of Economics and Business Sciences, University of Cagliari, 09123 Cagliari, Italy;
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Cilia F, Carette R, Elbattah M, Dequen G, Guérin JL, Bosche J, Vandromme L, Le Driant B. Computer-Aided Screening of Autism Spectrum Disorder: Eye-Tracking Study Using Data Visualization and Deep Learning. JMIR Hum Factors 2021; 8:e27706. [PMID: 34694238 PMCID: PMC8722670 DOI: 10.2196/27706] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 04/29/2021] [Accepted: 05/24/2021] [Indexed: 01/19/2023] Open
Abstract
Background The early diagnosis of autism spectrum disorder (ASD) is highly desirable but remains a challenging task, which requires a set of cognitive tests and hours of clinical examinations. In addition, variations of such symptoms exist, which can make the identification of ASD even more difficult. Although diagnosis tests are largely developed by experts, they are still subject to human bias. In this respect, computer-assisted technologies can play a key role in supporting the screening process. Objective This paper follows on the path of using eye tracking as an integrated part of screening assessment in ASD based on the characteristic elements of the eye gaze. This study adds to the mounting efforts in using eye tracking technology to support the process of ASD screening Methods The proposed approach basically aims to integrate eye tracking with visualization and machine learning. A group of 59 school-aged participants took part in the study. The participants were invited to watch a set of age-appropriate photographs and videos related to social cognition. Initially, eye-tracking scanpaths were transformed into a visual representation as a set of images. Subsequently, a convolutional neural network was trained to perform the image classification task. Results The experimental results demonstrated that the visual representation could simplify the diagnostic task and also attained high accuracy. Specifically, the convolutional neural network model could achieve a promising classification accuracy. This largely suggests that visualizations could successfully encode the information of gaze motion and its underlying dynamics. Further, we explored possible correlations between the autism severity and the dynamics of eye movement based on the maximal information coefficient. The findings primarily show that the combination of eye tracking, visualization, and machine learning have strong potential in developing an objective tool to assist in the screening of ASD. Conclusions Broadly speaking, the approach we propose could be transferable to screening for other disorders, particularly neurodevelopmental disorders.
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Affiliation(s)
- Federica Cilia
- UR-UPJV 7273, Centre de Recherche en Psychologie - Cognition, Psychisme, Organisations, Université de Picardie Jules Verne, Amiens, France
| | - Romuald Carette
- UR-UPJV 4290, Modélisation, Information & Systèmes, Université de Picardie Jules Verne, Amiens, France
| | - Mahmoud Elbattah
- UR-UPJV 4290, Modélisation, Information & Systèmes, Université de Picardie Jules Verne, Amiens, France
| | - Gilles Dequen
- UR-UPJV 4290, Modélisation, Information & Systèmes, Université de Picardie Jules Verne, Amiens, France
| | - Jean-Luc Guérin
- UR-UPJV 4290, Modélisation, Information & Systèmes, Université de Picardie Jules Verne, Amiens, France
| | - Jérôme Bosche
- UR-UPJV 4290, Modélisation, Information & Systèmes, Université de Picardie Jules Verne, Amiens, France
| | - Luc Vandromme
- UR-UPJV 7516, Chirurgie et Extrémité Céphalique Caractérisation Morphologique et Fonctionnelle, Université de Picardie Jules Verne, Amiens, France
| | - Barbara Le Driant
- UR-UPJV 7273, Centre de Recherche en Psychologie - Cognition, Psychisme, Organisations, Université de Picardie Jules Verne, Amiens, France
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Macari S, Chen X, Brunissen L, Yhang E, Brennan-Wydra E, Vernetti A, Volkmar F, Chang J, Chawarska K. Puppets facilitate attention to social cues in children with ASD. Autism Res 2021; 14:1975-1985. [PMID: 34350712 PMCID: PMC8434944 DOI: 10.1002/aur.2552] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 04/09/2021] [Accepted: 05/18/2021] [Indexed: 11/06/2022]
Abstract
Diminished visual attention to faces of social partners represents one of the early characteristics of autism spectrum disorder (ASD). Here we examine if the introduction of puppets as social partners alters attention to speakers' faces in young children with ASD and typically developing (TD) controls. Children with ASD (N = 37; Mage = 49.44 months) and TD (N = 27; Mage = 40.66 months) viewed a video depicting a puppet and a human engaged in a conversation. Dwell time on these faces was analyzed as a function of group and speaker's identity. Unlike TD controls, the ASD group exhibited limited visual attention to and chance-level visual preference for the human speaker. However, attention to and preference for the puppet speaker's face was greater than chance and comparable across the two groups. While there was a strong association between low human speaker preference and high autism severity, no association with autism severity was found for puppet speaker preference. Unlike humans, expressive and verbal puppets attracted the attention of children with ASD at levels comparable to that of TD controls. Considering that puppets can engage in reciprocal interactions and deliver simplified, salient social-communicative cues, they may facilitate therapeutic efforts in children with ASD. LAY SUMMARY: While studies have shown support for therapeutic uses of robots with children with autism, other similar agents such as puppets remain to be explored. When shown a video of a conversation between a puppet and a person, young children with ASD paid as much attention to the puppet's face as typically-developing (TD) children. Since puppets can engage in back-and-forth interactions and model social interactions and communication, they may play a promising role in therapeutic efforts for young children with ASD.
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Affiliation(s)
- Suzanne Macari
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Xinyuan Chen
- Department of Statistics and Data Science, Yale University, New Haven, Connecticut, USA
| | - Ludivine Brunissen
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Eukyung Yhang
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Emma Brennan-Wydra
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Angelina Vernetti
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Fred Volkmar
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Joseph Chang
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Statistics and Data Science, Yale University, New Haven, Connecticut, USA
| | - Katarzyna Chawarska
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
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Latrèche K, Kojovic N, Franchini M, Schaer M. Attention to Face as a Predictor of Developmental Change and Treatment Outcome in Young Children with Autism Spectrum Disorder. Biomedicines 2021; 9:942. [PMID: 34440147 PMCID: PMC8392329 DOI: 10.3390/biomedicines9080942] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Revised: 07/27/2021] [Accepted: 07/28/2021] [Indexed: 12/16/2022] Open
Abstract
The beneficial effect of early intervention is well described for children with autism spectrum disorder (ASD). Response to early intervention is, however, highly heterogeneous in affected children, and there is currently only scarce information about predictors of response to intervention. Based on the hypothesis that impaired social orienting hinders the subsequent development of social communication and interactions in children with ASD, we sought to examine whether the level of social orienting modulates treatment outcome in young children with ASD. We used eye-tracking technology to measure social orienting in a group of 111 preschoolers, comprising 95 young children with ASD and 16 children with typical development, as they watched a 29 s video of a woman engaging in child-directed speech. In line with previous studies, we report that attention to face is robustly correlated with autistic symptoms and cognitive and adaptive skills at baseline. We further leverage longitudinal data in a subgroup of 81 children with ASD and show that the level of social orienting at baseline is a significant predictor of developmental gains and treatment outcome. These results pave the way for identifying subgroups of children who show a better response to early and intensive intervention, a first step toward precision medicine for children with autism.
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Affiliation(s)
- Kenza Latrèche
- Department of Psychiatry, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland; (N.K.); (M.S.)
| | - Nada Kojovic
- Department of Psychiatry, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland; (N.K.); (M.S.)
| | | | - Marie Schaer
- Department of Psychiatry, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland; (N.K.); (M.S.)
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Hedger N, Chakrabarti B. Autistic differences in the temporal dynamics of social attention. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2021; 25:1615-1626. [PMID: 33706553 PMCID: PMC8323332 DOI: 10.1177/1362361321998573] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
LAY ABSTRACT One behaviour often observed in individuals with autism is that they tend to look less towards social stimuli relative to neurotypical individuals. For instance, many eye-tracking studies have shown that individuals with autism will look less towards people and more towards objects in scenes. However, we currently know very little about how these behaviours change over time. Tracking these moment-to-moment changes in looking behaviour in individuals with autism can more clearly illustrate how they respond to social stimuli. In this study, adults with and without autism were presented with displays of social and non-social stimuli, while looking behaviours were measured by eye-tracking. We found large differences in how the two groups looked towards social stimuli over time. Neurotypical individuals initially showed a high probability of looking towards social stimuli, then a decline in probability, and a subsequent increase in probability after prolonged viewing. By contrast, individuals with autism showed an initial increase in probability, followed by a continuous decline in probability that did not recover. This pattern of results may indicate that individuals with autism exhibit reduced responsivity to the reward value of social stimuli. Moreover, our data suggest that exploring the temporal nature of gaze behaviours can lead to more precise explanatory theories of attention in autism.
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Affiliation(s)
- Nicholas Hedger
- Centre for Autism, School of Psychology
& Clinical Language Sciences, University of Reading, UK
| | - Bhismadev Chakrabarti
- Centre for Autism, School of Psychology
& Clinical Language Sciences, University of Reading, UK
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Gong X, Li X, Wang Q, Hoi SP, Yin T, Zhao L, Meng F, Luo X, Liu J. Comparing visual preferences between autism spectrum disorder (ASD) and normal children to explore the characteristics of visual preference of ASD children by improved visual preference paradigm: a case-control study. Transl Pediatr 2021; 10:2006-2015. [PMID: 34584870 PMCID: PMC8429864 DOI: 10.21037/tp-21-294] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 07/22/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND One of features of Visual preference in autism spectrum disorder (ASD) is that they tend to social stimuli to nonsocial stimuli. Though it has been studied widely, until now the results are still not consistent. One of the most important reasons may be that the stimuli of the past visual preference paradigm have different movement patterns. Therefore, the present study aimed to improve the visual preference paradigm to reduce the bias caused by different movement of stimuli and explore the features of visual preference of ASD further. METHODS Two hundred and seven children who met DSM-5 criteria for ASD and 125 typically developmental (TD) children were enrolled. They were matched in age and gender. Visual preference was measured by eye tracking technology. The subjects presented simultaneously with dynamic object images (DOI) and dynamic social images (DSI) with the same type and same speed of repetitive movement. Social interaction deficits of ASD were assessed by parents with Aberrant Behavior Checklist (ABC). RESULTS Compared with TD children, the following findings were noted: (I) children with ASD paid less attention to social stimuli and more attention to nonsocial stimuli (t=6.417, P<0.001). (II) Increased preference to DSI was positively correlated with age (R=0.23, P=0.001). (III) No association was noted between visual preference and IQ in children with ASD (R=0.081, P=0.435). (IV) Reduced preference to DSI was negatively correlated with the severity of social interaction impairment rated by parents with ABC in children with ASD (R=0.237, P=0.010). CONCLUSIONS Children with ASD exhibited abnormal visual preference for social and nonsocial stimuli.
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Affiliation(s)
- Xiaoyun Gong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Peking University Sixth Hospital, Beijing, China
| | - Xue Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Peking University Sixth Hospital, Beijing, China
| | - Qiandong Wang
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Sio Pan Hoi
- School of Psychological and Cognitive Science, Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Tingni Yin
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Peking University Sixth Hospital, Beijing, China
| | - Liyang Zhao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Peking University Sixth Hospital, Beijing, China
| | - Fanchao Meng
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xuerong Luo
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jing Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health, National Clinical Research Center for Mental Disorders, Peking University, Peking University Sixth Hospital, Beijing, China
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Bovery M, Dawson G, Hashemi J, Sapiro G. A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and its Application in Autism Spectrum Disorder. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 2021; 12:722-731. [PMID: 35450132 PMCID: PMC9017594 DOI: 10.1109/taffc.2018.2890610] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Autism spectrum disorder (ASD) is associated with deficits in the processing of social information and difficulties in social interaction, and individuals with ASD exhibit atypical attention and gaze. Traditionally, gaze studies have relied upon precise and constrained means of monitoring attention using expensive equipment in laboratories. In this work we develop a low-cost off-the-shelf alternative for measuring attention that can be used in natural settings. The head and iris positions of 104 16-31 months children, an age range appropriate for ASD screening and diagnosis, 22 of them diagnosed with ASD, were recorded using the front facing camera in an iPad while they watched on the device screen a movie displaying dynamic stimuli, social stimuli on the left and nonsocial stimuli on the right. The head and iris position were then automatically analyzed via computer vision algorithms to detect the direction of attention. Children in the ASD group paid less attention to the movie, showed less attention to the social as compared to the nonsocial stimuli, and often fixated their attention to one side of the screen. The proposed method provides a low-cost means of monitoring attention to properly designed stimuli, demonstrating that the integration of stimuli design and automatic response analysis results in the opportunity to use off-the-shelf cameras to assess behavioral biomarkers.
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Affiliation(s)
- Matthieu Bovery
- EEA Department, ENS Paris-Saclay, Cachan, FRANCE. He performed this work while visiting Duke University
| | - Geraldine Dawson
- Department of Psychiatry and Behavioral Sciences, Duke Center for Autism and Brain Development, and the Duke Institute for Brain Sciences, Durham, NC
| | - Jordan Hashemi
- Department of Electrical and Computer Engineering, Duke University, Durham, NC
| | - Guillermo Sapiro
- Department of Electrical and Computer Engineering, Duke University, Durham, NC.; BME, CS, and Math at Duke University
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50
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Shin KO, Crumrine DA, Kim S, Lee Y, Kim B, Abuabara K, Park C, Uchida Y, Wakefield JS, Meyer JM, Jeong S, Park BD, Park K, Elias PM. Phenotypic overlap between atopic dermatitis and autism. BMC Neurosci 2021; 22:43. [PMID: 34157971 PMCID: PMC8218496 DOI: 10.1186/s12868-021-00645-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 06/01/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Autism, a childhood behavioral disorder, belongs to a large suite of diseases, collectively referred to as autism spectrum disorders (ASD). Though multifactorial in etiology, approximately 10% of ASD are associated with atopic dermatitis (AD). Moreover, ASD prevalence increases further as AD severity worsens, though these disorders share no common causative mutations. We assessed here the link between these two disorders in the standard, valproic acid mouse model of ASD. In prior studies, there was no evidence of skin involvement, but we hypothesized that cutaneous involvement could be detected in experiments conducted in BALB/c mice. BALB/c is an albino, laboratory-bred strain of the house mouse and is among the most widely used inbred strains used in animal experimentation. METHODS We performed our studies in valproic acid (VPA)-treated BALB/c hairless mice, a standard mouse model of ASD. Mid-trimester pregnant mice received a single intraperitoneal injection of either valproic acid sodium salt dissolved in saline or saline alone on embryonic day 12.5 and were housed individually until postnatal day 21. Only the brain and epidermis appeared to be affected, while other tissues remain unchanged. At various postnatal time points, brain, skin and blood samples were obtained for histology and for quantitation of tissue sphingolipid content and cytokine levels. RESULTS AD-like changes in ceramide content occurred by day one postpartum in both VPA-treated mouse skin and brain. The temporal co-emergence of AD and ASD, and the AD phenotype-dependent increase in ASD prevalence correlated with early appearance of cytokine markers (i.e., interleukin [IL]-4, 5, and 13), as well as mast cells in skin and brain. The high levels of interferon (IFN)γ not only in skin, but also in brain likely account for a significant decline in esterified very-long-chain N-acyl fatty acids in brain ceramides, again mimicking known IFNγ-induced changes in AD. CONCLUSION Baseline involvement of both AD and ASD could reflect concurrent neuro- and epidermal toxicity, possibly because both epidermis and neural tissues originate from the embryonic neuroectoderm. These studies illuminate the shared susceptibility of the brain and epidermis to a known neurotoxin, suggesting that the atopic diathesis could be extended to include ASD.
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Affiliation(s)
- Kyong-Oh Shin
- Department of Food Science/Nutrition, & Convergence Program of Material Science for Medicine/Pharmaceutics, and the Korean Institute of Nutrition, Hallym University, Chuncheon, South Korea
| | - Debra A Crumrine
- Dept. of Dermatology, University of California, NCIRE, and Veterans Affairs Medical Center, 4150 Clement Street, MS 190, San Francisco, CA, 94121, USA
| | - Sungeun Kim
- Department of Food Science/Nutrition, & Convergence Program of Material Science for Medicine/Pharmaceutics, and the Korean Institute of Nutrition, Hallym University, Chuncheon, South Korea
| | - Yerin Lee
- Department of Food Science/Nutrition, & Convergence Program of Material Science for Medicine/Pharmaceutics, and the Korean Institute of Nutrition, Hallym University, Chuncheon, South Korea
| | - Bogyeong Kim
- Department of Food Science/Nutrition, & Convergence Program of Material Science for Medicine/Pharmaceutics, and the Korean Institute of Nutrition, Hallym University, Chuncheon, South Korea
| | - Katrina Abuabara
- Department of Dermatology, University of San Francisco, San Francisco, CA, USA
| | - Chaehyeong Park
- Dept. of Dermatology, University of California, NCIRE, and Veterans Affairs Medical Center, 4150 Clement Street, MS 190, San Francisco, CA, 94121, USA
| | - Yoshikazu Uchida
- Dept. of Dermatology, University of California, NCIRE, and Veterans Affairs Medical Center, 4150 Clement Street, MS 190, San Francisco, CA, 94121, USA
| | - Joan S Wakefield
- Dept. of Dermatology, University of California, NCIRE, and Veterans Affairs Medical Center, 4150 Clement Street, MS 190, San Francisco, CA, 94121, USA
| | - Jason M Meyer
- Dept. of Dermatology, University of California, NCIRE, and Veterans Affairs Medical Center, 4150 Clement Street, MS 190, San Francisco, CA, 94121, USA
| | - Sekyoo Jeong
- Dept of Cosmetic Science, Seowon University, Cheongju, South Korea
| | - Byeong Deog Park
- Sphingobrain Inc., San Francisco, CA, USA
- Dr. Raymond Laboratories, Inc, Englewood Cliffs, NJ, USA
| | - Kyungho Park
- Department of Food Science/Nutrition, & Convergence Program of Material Science for Medicine/Pharmaceutics, and the Korean Institute of Nutrition, Hallym University, Chuncheon, South Korea.
| | - Peter M Elias
- Dept. of Dermatology, University of California, NCIRE, and Veterans Affairs Medical Center, 4150 Clement Street, MS 190, San Francisco, CA, 94121, USA.
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