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Vernetti A, Butler M, Banarjee C, Boxberger A, All K, Macari S, Chawarska K. Face-to-face live eye-tracking in toddlers with autism: Feasibility and impact of familiarity and face covering. Autism Res 2024; 17:1381-1390. [PMID: 38009948 DOI: 10.1002/aur.3060] [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: 06/14/2023] [Accepted: 10/31/2023] [Indexed: 11/29/2023]
Abstract
Studies utilizing eye-tracking methods have potential to promptly capture real-world dynamics of one of the core areas of vulnerability in autism spectrum disorders (ASD), selective social attention. So far, no studies have successfully reported utilizing the method to examine social attention in toddlers with neurodevelopmental vulnerabilities in real world and challenging settings such as an interactive face-to-face. This study examined the feasibility and validity of live eye-tracking method in response to live interaction occurring in several contexts in toddlers with and without ASD. Forty-seven toddlers with ASD, with atypical development (ATYP), or typically developing (TD), underwent a 30-s live eye-tracking procedure during a face-to-face interaction with a masked stranger using child-directed-speech (16 ASD, 14 ATYP, 17 TD; Mage = 23.44 months, SD = 6.02). Out of this group of toddlers, 29 (10 ASD, 8 ATYP, 11 TD, Mage = 21.97 months, SD = 5.76) underwent the same procedure with one of their maskless parent. Task completion rate, calibration accuracy, and affective response (feasibility measures) as well as attention to the task and the social partner (validity measures) were examined. Task completion rate and calibration accuracy were excellent. Despite the challenging context of face-to-face interaction, the toddlers exhibited a neutral affect, and high attention to the task and the speaker. As anticipated, toddlers with ASD looked less at the social partner compared with control groups. However, attention was comparable between the Stranger and Parent conditions, indicating that the effect was consistent regardless of presence of face covering or the familiarity of the interactive partner. The study demonstrates the high feasibility and validity of a live eye-tracking task involving face-to-face interaction in neurodiverse toddlers with social vulnerabilities. The effect of diminished attention to social partners in toddlers with autism is robust and present when interacting with an unfamiliar person and parent. The results suggest that a brief live eye-tracking method constitutes a promising ecologically valid candidate biomarker and potential intervention outcome in autism.
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Affiliation(s)
- Angelina Vernetti
- Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Maureen Butler
- Child Study Center, Northwestern University, Chicago, Illinois, USA
| | - Chitra Banarjee
- Child Study Center, University of Central Florida, Orlando, Florida, USA
| | - Alexandra Boxberger
- Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Katherine All
- Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Suzanne Macari
- Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Katarzyna Chawarska
- Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
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Tan J, Zhan Y, Tang Y, Bao W, Tian Y. EEG decoding for effects of visual joint attention training on ASD patients with interpretable and lightweight convolutional neural network. Cogn Neurodyn 2024; 18:947-960. [PMID: 38826651 PMCID: PMC11143091 DOI: 10.1007/s11571-023-09947-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] [Received: 10/18/2022] [Revised: 01/13/2023] [Accepted: 02/16/2023] [Indexed: 04/08/2023] Open
Abstract
Visual joint attention, the ability to track gaze and recognize intent, plays a key role in the development of social and language skills in health humans, which is performed abnormally hard in autism spectrum disorder (ASD). The traditional convolutional neural network, EEGnet, is an effective model for decoding technology, but few studies have utilized this model to address attentional training in ASD patients. In this study, EEGNet was used to decode the P300 signal elicited by training and the saliency map method was used to visualize the cognitive properties of ASD patients during visual attention. The results showed that in the spatial distribution, the parietal lobe was the main region of classification contribution, especially for Pz electrode. In the temporal information, the time period from 300 to 500 ms produced the greatest contribution to the electroencephalogram (EEG) classification, especially around 300 ms. After training for ASD patients, the gradient contribution was significantly enhanced at 300 ms, which was effective only in social scenarios. Meanwhile, with the increase of joint attention training, the P300 latency of ASD patients gradually shifted forward in social scenarios, but this phenomenon was not obvious in non-social scenarios. Our results indicated that joint attention training could improve the cognitive ability and responsiveness of social characteristics in ASD patients.
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Affiliation(s)
- Jianling Tan
- Department of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065 China
| | - Yichao Zhan
- College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065 China
| | - Yi Tang
- Department of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065 China
| | - Weixin Bao
- College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065 China
| | - Yin Tian
- Department of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065 China
- College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065 China
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Jia Q, Wang X, Li X, Xie C, Zhang Q, Mu J, Yang W. Analysis of research hotspots and trends in pediatric ophthalmopathy based on 10 years of WoSCC literature. Front Pediatr 2024; 12:1405110. [PMID: 38873588 PMCID: PMC11171143 DOI: 10.3389/fped.2024.1405110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 05/20/2024] [Indexed: 06/15/2024] Open
Abstract
Background Ophthalmopathy occurring in childhood can easily lead to irreversible visual impairment, and therefore a great deal of clinical and fundamental researches have been conducted in pediatric ophthalmopathy. However, a few studies have been performed to analyze such large amounts of research using bibliometric methods. This study intended to apply bibliometric methods to analyze the research hotspots and trends in pediatric ophthalmopathy, providing a basis for clinical practice and scientific research to improve children's eye health. Methods Publications related to pediatric ophthalmopathy were searched and identified in the Web of Science Core Collection (WoSCC) database. Bibliometric and visualized analysis was performed using the WoSCC analysis system and CiteSpace.6.2.6 software, and high-impact publications were analyzed. Results This study included a total of 7,177 publications from 162 countries and regions. Of these, 2,269 from the United States and 1,298 from China. The centrality and H-index were highest in the United States at 0.27 and 66, respectively. The University of London and Harvard University had the highest H-index at 37. Freedman,Sharon F published 55 publications, with the highest H-index at 19. The emerging burst keyword in 2020-2023 was "eye tracking," and the burst keywords in 2021-2023 were "choroidal thickness," "pediatric ophthalmology," "impact" and "childhood glaucoma." Retinopathy of prematurity, myopia, retinoblastoma and uveitis in juvenile idiopathic arthritis were the main topics in the high-impact publications, with clinical studies in the majority, especially in retinopathy of prematurity. Conclusion Eye health in children is a research hotspot, with the United States publishing the largest number of papers and having the greatest influence in research on pediatric ophthalmopathy, and China coming in second. The University of London and Stanford University had the greatest influence. Freedman, Sharon F was the most influential author. Furthermore, "choroidal thickness," "pediatric ophthalmology," "impact," "childhood glaucoma" and "eye tracking"are the latest hotspots in the field of pediatric ophthalmopathy. These hotspots represent hot diseases, hot technologies and holistic concepts, which are exactly the research trends in the field of pediatric ophthalmopathy, providing guidance and grounds for clinical practice and scientific research on children's eye health.
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Affiliation(s)
- Qianfang Jia
- Department of Children Rehabilitation, First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
- Xinxiang Autism Integration Education Engineering Technology Research Center, Xinxiang, China
| | - Xiaofang Wang
- Hebei University of Chinese Medicine, Shijiazhuang, China
| | - Xiwan Li
- Department of Children Rehabilitation, First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Cuijuan Xie
- Shenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen, China
| | - Qing Zhang
- The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang Medical University, Xinxiang, China
| | - Jingfeng Mu
- Shenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen, China
| | - Weihua Yang
- Shenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University, Shenzhen, China
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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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Ronconi L, Cantiani C, Riva V, Franchin L, Bettoni R, Gori S, Bulf H, Valenza E, Facoetti A. Infants' reorienting efficiency depends on parental autistic traits and predicts future socio-communicative behaviors. Cereb Cortex 2024; 34:40-49. [PMID: 38696607 DOI: 10.1093/cercor/bhae089] [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: 09/29/2023] [Revised: 01/29/2024] [Accepted: 02/21/2024] [Indexed: 05/04/2024] Open
Abstract
Attentional reorienting is dysfunctional not only in children with autism spectrum disorder (ASD), but also in infants who will develop ASD, thus constituting a potential causal factor of future social interaction and communication abilities. Following the research domain criteria framework, we hypothesized that the presence of subclinical autistic traits in parents should lead to atypical infants' attentional reorienting, which in turn should impact on their future socio-communication behavior in toddlerhood. During an attentional cueing task, we measured the saccadic latencies in a large sample (total enrolled n = 89; final sample n = 71) of 8-month-old infants from the general population as a proxy for their stimulus-driven attention. Infants were grouped in a high parental traits (HPT; n = 23) or in a low parental traits (LPT; n = 48) group, according to the degree of autistic traits self-reported by their parents. Infants (n = 33) were then longitudinally followed to test their socio-communicative behaviors at 21 months. Results show a sluggish reorienting system, which was a longitudinal predictor of future socio-communicative skills at 21 months. Our combined transgenerational and longitudinal findings suggest that the early functionality of the stimulus-driven attentional network-redirecting attention from one event to another-could be directly connected to future social and communication development.
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Affiliation(s)
- Luca Ronconi
- School of Psychology, Vita-Salute San Raffaele University, Via Olgettina, 58, 20132 Milan, Italy
- Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132 Milan, Italy
| | - Chiara Cantiani
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Via Don Luigi Monza, 20, 23842 Lecco, Italy
| | - Valentina Riva
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Via Don Luigi Monza, 20, 23842 Lecco, Italy
| | - Laura Franchin
- Department of Psychology and Cognitive Science, University of Trento, Corso Bettini, 84, 38068 Rovereto, Italy
| | - Roberta Bettoni
- Department of Psychology, Università degli Studi di Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano, Italy
| | - Simone Gori
- Department of Human and Social Sciences, University of Bergamo, Piazzale Sant'Agostino, 2, 24129 Bergamo, Italy
| | - Herman Bulf
- Department of Psychology, Università degli Studi di Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano, Italy
| | - Eloisa Valenza
- Department of Developmental and Social Psychology, Via Venezia 8, University of Padova, 35131 Padova, Italy
| | - Andrea Facoetti
- Developmental and Cognitive Neuroscience Lab, Department of General Psychology, Via Venezia 8, University of Padova, 35131 Padova, Italy
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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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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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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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Chetcuti L, Varcin KJ, Boutrus M, Smith J, Bent CA, Whitehouse AJO, Hudry K. Feasibility of a 2-minute eye-tracking protocol to support the early identification of autism. Sci Rep 2024; 14:5117. [PMID: 38429348 PMCID: PMC10907367 DOI: 10.1038/s41598-024-55643-z] [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: 09/14/2022] [Accepted: 02/26/2024] [Indexed: 03/03/2024] Open
Abstract
We tested the potential for Gazefinder eye-tracking to support early autism identification, including feasible use with infants, and preliminary concurrent validity of trial-level gaze data against clinical assessment scores. We embedded the ~ 2-min 'Scene 1S4' protocol within a comprehensive clinical assessment for 54 consecutively-referred, clinically-indicated infants (prematurity-corrected age 9-14 months). Alongside % tracking rate as a broad indicator of feasible assessment/data capture, we report infant gaze data to pre-specified regions of interest (ROI) across four trial types and associations with scores on established clinical/behavioural tools. Most infants tolerated Gazefinder eye-tracking well, returning high overall % tracking rate. As a group, infants directed more gaze towards social vs. non-social (or more vs. less socially-salient) ROIs within trials. Behavioural autism features were correlated with increased gaze towards non-social/geometry (vs. social/people) scenes. No associations were found for gaze directed to ROIs within other stimulus types. Notably, there were no associations between developmental/cognitive ability or adaptive behaviour with gaze towards any ROI. Gazefinder assessment seems highly feasible with clinically-indicated infants, and the people vs. geometry stimuli show concurrent predictive validity for behavioural autism features. Aggregating data across the ~ 2-min autism identification protocol might plausibly offer greater utility than stimulus-level analysis alone.
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Affiliation(s)
- Lacey Chetcuti
- Department of Psychology, Counselling and Therapy, School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia
| | - Kandice J Varcin
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Maryam Boutrus
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Jodie Smith
- Department of Psychology, Counselling and Therapy, School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, Australia
| | - Catherine A Bent
- Department of Psychology, Counselling and Therapy, School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia
| | | | - Kristelle Hudry
- Department of Psychology, Counselling and Therapy, School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia.
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10
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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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11
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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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12
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Ziv I, Avni I, Dinstein I, Meiri G, Bonneh YS. Oculomotor randomness is higher in autistic children and increases with the severity of symptoms. Autism Res 2024; 17:249-265. [PMID: 38189581 DOI: 10.1002/aur.3083] [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: 07/17/2023] [Accepted: 12/09/2023] [Indexed: 01/09/2024]
Abstract
A variety of studies have suggested that at least some children with autism spectrum disorder (ASD) view the world differently. Differences in gaze patterns as measured by eye tracking have been demonstrated during visual exploration of images and natural viewing of movies with social content. Here we analyzed the temporal randomness of saccades and blinks during natural viewing of movies, inspired by a recent measure of "randomness" applied to micro-movements of the hand and head in ASD (Torres et al., 2013; Torres & Denisova, 2016). We analyzed a large eye-tracking dataset of 189 ASD and 41 typically developing (TD) children (1-11 years old) who watched three movie clips with social content, each repeated twice. We found that oculomotor measures of randomness, obtained from gamma parameters of inter-saccade intervals (ISI) and blink duration distributions, were significantly higher in the ASD group compared with the TD group and were correlated with the ADOS comparison score, reflecting increased "randomness" in more severe cases. Moreover, these measures of randomness decreased with age, as well as with higher cognitive scores in both groups and were consistent across repeated viewing of each movie clip. Highly "random" eye movements in ASD children could be associated with high "neural variability" or noise, poor sensory-motor control, or weak engagement with the movies. These findings could contribute to the future development of oculomotor biomarkers as part of an integrative diagnostic tool for ASD.
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Affiliation(s)
- Inbal Ziv
- School of Optometry and Vision Science, Faculty of Life Science, Bar-Ilan University, Ramat Gan, Israel
| | - Inbar Avni
- Cognitive and Brain Sciences Department, Ben Gurion University of the Negev, Be'er Sheva, Israel
- Azrieli National Centre for Autism and Neurodevelopment Research, Ben Gurion University of the Negev, Be'er Sheva, Israel
| | - Ilan Dinstein
- Cognitive and Brain Sciences Department, Ben Gurion University of the Negev, Be'er Sheva, Israel
- Azrieli National Centre for Autism and Neurodevelopment Research, Ben Gurion University of the Negev, Be'er Sheva, Israel
- Psychology Department, Ben Gurion University of the Negev, Be'er Sheva, Israel
| | - Gal Meiri
- Azrieli National Centre for Autism and Neurodevelopment Research, Ben Gurion University of the Negev, Be'er Sheva, Israel
- Pre-school Psychiatry Unit, Soroka Medical Center, Be'er Sheva, Israel
| | - Yoram S Bonneh
- School of Optometry and Vision Science, Faculty of Life Science, Bar-Ilan University, Ramat Gan, Israel
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13
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Portugal AM, Viktorsson C, Taylor MJ, Mason L, Tammimies K, Ronald A, Falck-Ytter T. Infants' looking preferences for social versus non-social objects reflect genetic variation. Nat Hum Behav 2024; 8:115-124. [PMID: 38012276 PMCID: PMC10810753 DOI: 10.1038/s41562-023-01764-w] [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: 02/21/2022] [Accepted: 10/12/2023] [Indexed: 11/29/2023]
Abstract
To what extent do individual differences in infants' early preference for faces versus non-facial objects reflect genetic and environmental factors? Here in a sample of 536 5-month-old same-sex twins, we assessed attention to faces using eye tracking in two ways: initial orienting to faces at the start of the trial (thought to reflect subcortical processing) and sustained face preference throughout the trial (thought to reflect emerging attention control). Twin model fitting suggested an influence of genetic and unique environmental effects, but there was no evidence for an effect of shared environment. The heritability of face orienting and preference were 0.19 (95% confidence interval (CI) 0.04 to 0.33) and 0.46 (95% CI 0.33 to 0.57), respectively. Face preference was associated positively with later parent-reported verbal competence (β = 0.14, 95% CI 0.03 to 0.25, P = 0.014, R2 = 0.018, N = 420). This study suggests that individual differences in young infants' selection of perceptual input-social versus non-social-are heritable, providing a developmental perspective on gene-environment interplay occurring at the level of eye movements.
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Affiliation(s)
- Ana Maria Portugal
- Development and Neurodiversity Lab (DIVE), Department of Psychology, Uppsala University, Uppsala, Sweden.
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Childrn's Health, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden.
| | - Charlotte Viktorsson
- Development and Neurodiversity Lab (DIVE), Department of Psychology, Uppsala University, Uppsala, Sweden
| | - Mark J Taylor
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Luke Mason
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kristiina Tammimies
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Childrn's Health, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
- Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Angelica Ronald
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - Terje Falck-Ytter
- Development and Neurodiversity Lab (DIVE), Department of Psychology, Uppsala University, Uppsala, Sweden.
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Childrn's Health, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden.
- Swedish Collegium for Advanced Study, Uppsala, Sweden.
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14
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Franco FO, Oliveira JS, Portolese J, Sumiya FM, Silva AF, Machado-Lima A, Nunes FLS, Brentani H. Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal. BMC Med Inform Decis Mak 2023; 23:285. [PMID: 38098001 PMCID: PMC10722824 DOI: 10.1186/s12911-023-02389-9] [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: 05/11/2023] [Accepted: 12/04/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Autism Spectrum Disorder (ASD) diagnosis can be aided by approaches based on eye-tracking signals. Recently, the feasibility of building Visual Attention Models (VAMs) from features extracted from visual stimuli and their use for classifying cases and controls has been demonstrated using Neural Networks and Support Vector Machines. The present work has three aims: 1) to evaluate whether the trained classifier from the previous study was generalist enough to classify new samples with a new stimulus; 2) to replicate the previously approach to train a new classifier with a new dataset; 3) to evaluate the performance of classifiers obtained by a new classification algorithm (Random Forest) using the previous and the current datasets. METHODS The previously approach was replicated with a new stimulus and new sample, 44 from the Typical Development group and 33 from the ASD group. After the replication, Random Forest classifier was tested to substitute Neural Networks algorithm. RESULTS The test with the trained classifier reached an AUC of 0.56, suggesting that the trained classifier requires retraining of the VAMs when changing the stimulus. The replication results reached an AUC of 0.71, indicating the potential of generalization of the approach for aiding ASD diagnosis, as long as the stimulus is similar to the originally proposed. The results achieved with Random Forest were superior to those achieved with the original approach, with an average AUC of 0.95 for the previous dataset and 0.74 for the new dataset. CONCLUSION In summary, the results of the replication experiment were satisfactory, which suggests the robustness of the approach and the VAM-based approaches feasibility to aid in ASD diagnosis. The proposed method change improved the classification performance. Some limitations are discussed and additional studies are encouraged to test other conditions and scenarios.
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Affiliation(s)
- Felipe O Franco
- Interunit PostGraduate Program on Bioinformatics, Institute of Mathematics and Statistics (IME), University of São Paulo (USP), 05508-090, São Paulo, SP, Brazil.
- Department of Psychiatry, University of São Paulo's School of Medicine (FMUSP), 05403-903, São Paulo-SP, Brazil.
| | - Jessica S Oliveira
- School of Arts, Sciences and Humanities (EACH), University of São Paulo (USP), 03828-000, São Paulo-SP, Brazil
| | - Joana Portolese
- Department of Psychiatry, University of São Paulo's School of Medicine (FMUSP), 05403-903, São Paulo-SP, Brazil
| | - Fernando M Sumiya
- Department of Psychiatry, University of São Paulo's School of Medicine (FMUSP), 05403-903, São Paulo-SP, Brazil
| | - Andréia F Silva
- Department of Psychiatry, University of São Paulo's School of Medicine (FMUSP), 05403-903, São Paulo-SP, Brazil
| | - Ariane Machado-Lima
- School of Arts, Sciences and Humanities (EACH), University of São Paulo (USP), 03828-000, São Paulo-SP, Brazil
| | - Fatima L S Nunes
- School of Arts, Sciences and Humanities (EACH), University of São Paulo (USP), 03828-000, São Paulo-SP, Brazil
| | - Helena Brentani
- Department of Psychiatry, University of São Paulo's School of Medicine (FMUSP), 05403-903, São Paulo-SP, Brazil
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15
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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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16
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Alrehaili RA, ElKady RM, Alrehaili JA, Alreefi RM. Exploring Early Childhood Autism Spectrum Disorders: A Comprehensive Review of Diagnostic Approaches in Young Children. Cureus 2023; 15:e50111. [PMID: 38186518 PMCID: PMC10771115 DOI: 10.7759/cureus.50111] [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: 12/07/2023] [Indexed: 01/09/2024] Open
Abstract
Autism spectrum disorders (ASD) encompass a diverse range of developmental disabilities characterized by pervasive deficiencies in socialization, communication, and the manifestation of behavioral issues. This review aims to clarify the diagnostic criteria for ASD, explore available diagnostic tools, evaluate biomedical examinations facilitating ASD diagnosis, and discuss the approach to screening assessments for ASD. ASDs are prevalent conditions, with a globally estimated prevalence of 7.6 cases per 100 (one in 132), based on a comprehensive review of epidemiological studies. The precise cause of autism and other ASDs remains unknown; however, genetic and environmental factors likely contribute. Common signs and symptoms shared among individuals with autism include restricted repetitive behaviors and learning disabilities. Standardized methods, such as the Diagnostic and Statistical Manual, Fifth Edition (DSM-5), diagnostic instruments, a thorough medical history, multiple physical examinations, laboratory investigations, neuroimaging, and screening tests, play a pivotal role in early autism diagnosis and intervention. ASD is a lifelong neurodevelopmental condition characterized by multiple deficits. Early detection is anticipated to have a positive impact on outcomes.
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Affiliation(s)
- Ruba A Alrehaili
- Family Medicine, Academy of Family Medicine, Ministry of Health, Al-Madinah, SAU
| | - Reem M ElKady
- Radiology and Medical Imaging, Faculty of Medicine, Taibah University, Al-Madinah, SAU
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17
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Bradshaw J, Fu X, Yurkovic-Harding J, Abney D. Infant embodied attention in context: Feasibility of home-based head-mounted eye tracking in early infancy. Dev Cogn Neurosci 2023; 64:101299. [PMID: 37748360 PMCID: PMC10522938 DOI: 10.1016/j.dcn.2023.101299] [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: 03/16/2023] [Revised: 08/24/2023] [Accepted: 09/08/2023] [Indexed: 09/27/2023] Open
Abstract
Social communication emerges from dynamic, embodied social interactions during which infants coordinate attention to caregivers and objects. Yet many studies of infant attention are constrained to a laboratory setting, neglecting how attention is nested within social contexts where caregivers dynamically scaffold infant behavior in real time. This study evaluates the feasibility and acceptability of the novel use of head-mounted eye tracking (HMET) in the home with N = 40 infants aged 4 and 8 months who are typically developing and at an elevated genetic liability for autism spectrum disorder (ASD). Results suggest that HMET with young infants with limited independent motor abilities and at an elevated likelihood for atypical development is highly feasible and deemed acceptable by caregivers. Feasibility and acceptability did not differ by age or ASD likelihood. Data quality was also acceptable, albeit with younger infants showing slightly lower accuracy, allowing for preliminary analysis of developmental trends in infant gaze behavior. This study provides new evidence for the feasibility of using in-home HMET with young infants during a critical developmental period when more complex interactions with the environment and social partners are emerging. Future research can apply this technology to illuminate atypical developmental trajectories of embodied social attention in infancy.
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Affiliation(s)
- Jessica Bradshaw
- University of South Carolina, 1800 Gervais St., Columbia, SC 29201, USA; Carolina Autism and Neurodevelopment Research Center, University of South Carolina, USA.
| | - Xiaoxue Fu
- University of South Carolina, 1800 Gervais St., Columbia, SC 29201, USA; Carolina Autism and Neurodevelopment Research Center, University of South Carolina, USA
| | - Julia Yurkovic-Harding
- University of South Carolina, 1800 Gervais St., Columbia, SC 29201, USA; Carolina Autism and Neurodevelopment Research Center, University of South Carolina, USA
| | - Drew Abney
- University of Georgia, 125 Baldwin St., Athens, GA 30602, USA
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18
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Akin-Bulbul I, Ozdemir S. Imitation Performance in Children with Autism and the Role of Visual Attention in Imitation. J Autism Dev Disord 2023; 53:4604-4617. [PMID: 36085430 DOI: 10.1007/s10803-022-05726-5] [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] [Accepted: 08/18/2022] [Indexed: 10/14/2022]
Abstract
In this study, we examined imitation performance, visual attention, and the relationship between imitation and visual attention of children with autism, developmental delay (DD), and typically developing (TD) children. The study findings revealed that children with autism and DD imitated less than TD children in all imitation tasks. Results also showed that children with autism spent less time looking at the model's face and movement area and more time looking at the external area. Lastly, the relationship between imitation and visual attention separated the study groups. The findings of the study provided new evidence that visual attention to movement area in children with autism was positively related to imitation performance in non-meaningful gestures.
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Affiliation(s)
- Isik Akin-Bulbul
- Department of Special Education, Gazi Education Faculty, Gazi University, Teknikokullar, Ankara, Turkey.
| | - Selda Ozdemir
- Department of Special Education, Education Faculty, Hacettepe University, Beytepe, Ankara, Turkey
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19
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Shic F, Barney EC, Naples AJ, Dommer KJ, Chang SA, Li B, McAllister T, Atyabi A, Wang Q, Bernier R, Dawson G, Dziura J, Faja S, Jeste SS, Murias M, Johnson SP, Sabatos-DeVito M, Helleman G, Senturk D, Sugar CA, Webb SJ, McPartland JC, Chawarska K. The Selective Social Attention task in children with autism spectrum disorder: Results from the Autism Biomarkers Consortium for Clinical Trials (ABC-CT) feasibility study. Autism Res 2023; 16:2150-2159. [PMID: 37749934 PMCID: PMC11003770 DOI: 10.1002/aur.3026] [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: 02/16/2023] [Accepted: 08/25/2023] [Indexed: 09/27/2023]
Abstract
The Selective Social Attention (SSA) task is a brief eye-tracking task involving experimental conditions varying along socio-communicative axes. Traditionally the SSA has been used to probe socially-specific attentional patterns in infants and toddlers who develop autism spectrum disorder (ASD). This current work extends these findings to preschool and school-age children. Children 4- to 12-years-old with ASD (N = 23) and a typically-developing comparison group (TD; N = 25) completed the SSA task as well as standardized clinical assessments. Linear mixed models examined group and condition effects on two outcome variables: percent of time spent looking at the scene relative to scene presentation time (%Valid), and percent of time looking at the face relative to time spent looking at the scene (%Face). Age and IQ were included as covariates. Outcome variables' relationships to clinical data were assessed via correlation analysis. The ASD group, compared to the TD group, looked less at the scene and focused less on the actress' face during the most socially-engaging experimental conditions. Additionally, within the ASD group, %Face negatively correlated with SRS total T-scores with a particularly strong negative correlation with the Autistic Mannerism subscale T-score. These results highlight the extensibility of the SSA to older children with ASD, including replication of between-group differences previously seen in infants and toddlers, as well as its ability to capture meaningful clinical variation within the autism spectrum across a wide developmental span inclusive of preschool and school-aged children. The properties suggest that the SSA may have broad potential as a biomarker for ASD.
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Affiliation(s)
- Frederick Shic
- Center for Child Health, Behavior and Development, Seattle Children’s Research Institute, Seattle, Washington, USA
- Department of General Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Erin C. Barney
- Center for Child Health, Behavior and Development, Seattle Children’s Research Institute, Seattle, Washington, USA
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Adam J. Naples
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Kelsey J. Dommer
- Center for Child Health, Behavior and Development, Seattle Children’s Research Institute, Seattle, Washington, USA
| | - Shou An Chang
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Beibin Li
- Center for Child Health, Behavior and Development, Seattle Children’s Research Institute, Seattle, Washington, USA
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, Washington, USA
| | - Takumi McAllister
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Adham Atyabi
- Department of General Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
- Department of Computer Science, University of Colorado - Colorado Springs, Colorado Springs, Colorado, USA
| | - Quan Wang
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
- Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China
| | - Raphael Bernier
- Department of Psychiatry & Behavioral Science, University of Washington School of Medicine, Seattle, Washington, USA
| | - Geraldine Dawson
- Duke Center for Autism and Brain Development, Duke University, Durham, North Carolina, USA
| | - James Dziura
- Emergency Medicine, Yale University, New Haven, Connecticut, USA
| | - Susan Faja
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
- Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts, USA
| | - Shafali Spurling Jeste
- Department of Psychiatry & Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California, USA
- Department of Neurology, Keck School of Medicine of USC, Los Angeles, California, USA
- Division of Neurology, Children’s Hospital Los Angeles, Los Angeles, California, USA
| | - Michael Murias
- Department of Medical Social Sciences, Northwestern University, Evanston, Illinois, USA
| | - Scott P. Johnson
- Department of Psychology, University of California Los Angeles, Los Angeles, California, USA
| | - Maura Sabatos-DeVito
- Duke Center for Autism and Brain Development, Duke University, Durham, North Carolina, USA
| | - Gerhard Helleman
- Department of Psychiatry & Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California, USA
- Department of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Damla Senturk
- Department of Biostatistics, University of California Los Angeles, Los Angeles, California, USA
| | - Catherine A. Sugar
- Department of Biostatistics, University of California Los Angeles, Los Angeles, California, USA
| | - Sara Jane Webb
- Department of General Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
- Department of Psychiatry & Behavioral Science, University of Washington School of Medicine, Seattle, Washington, USA
| | - James C. McPartland
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Katarzyna Chawarska
- Yale Child Study Center, Yale University School of Medicine, New Haven, Connecticut, USA
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Thomas RP, Wittke K, Blume J, Mastergeorge AM, Naigles L. Predicting Language in Children with ASD Using Spontaneous Language Samples and Standardized Measures. J Autism Dev Disord 2023; 53:3916-3931. [PMID: 35930209 DOI: 10.1007/s10803-022-05691-z] [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] [Accepted: 07/16/2022] [Indexed: 10/16/2022]
Abstract
This longitudinal study examined the degree to which standardized measures of language and natural language samples predicted later language usage in a heterogeneous sample of children with autism spectrum disorder (ASD), and how this relationship is impacted by ASD severity and interventions. Participants with a diagnosis of ASD (N = 54, 41 males) completed standardized assessments of language and social functioning; natural language samples were transcribed from play-based interactions. Findings indicated that standardized language measures, natural language measures, and ADOS severity were each unique predictors of later lexical use. Intervention types also appeared to impact later language; in particular, participation in mainstream inclusion accounted for significant amounts of variance in children's mean length of utterance at T3.
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Affiliation(s)
- Rebecca P Thomas
- Department of Psychological Sciences, University of Connecticut, Bousfield Psychology Building, 406 Babbidge Road Unit 1020, Storrs, CT, 06269, USA.
| | - Kacie Wittke
- Speech, Language, and Hearing Sciences, University of Connecticut, Storrs, CT, USA
| | - Jessica Blume
- Human Development and Family Sciences, Texas Tech University, Lubbock, TX, USA
| | - Ann M Mastergeorge
- Human Development and Family Sciences, Texas Tech University, Lubbock, TX, USA
| | - Letitia Naigles
- Department of Psychological Sciences, University of Connecticut, Bousfield Psychology Building, 406 Babbidge Road Unit 1020, Storrs, CT, 06269, USA
- Speech, Language, and Hearing Sciences, University of Connecticut, Storrs, CT, USA
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21
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Ambarchi Z, Boulton KA, Thapa R, Thomas EE, DeMayo MM, Sasson NJ, Hickie IB, Guastella AJ. Evidence of a reduced role for circumscribed interests in the social attention patterns of children with Autism Spectrum Disorder. J Autism Dev Disord 2023; 53:3999-4011. [PMID: 35927513 PMCID: PMC10499676 DOI: 10.1007/s10803-022-05638-4] [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] [Accepted: 06/06/2022] [Indexed: 11/27/2022]
Abstract
Reduced social attention is characteristic of Autism Spectrum Disorder (ASD). It has been suggested to result from an early onset and excessive influence of circumscribed interests (CIs) on gaze behaviour, compared to typically developing (TYP) individuals. To date, these findings have been mixed. The current eye-tracking study utilised a visual preference paradigm to investigate the influence of CI versus non-CI objects on attention patterns in children with ASD (aged 3-12 years, n = 37) and their age-matched TYP peers (n = 30). Compared to TYP, social and object attention was reduced in the ASD group irrespective of the presence of CIs. Results suggest a reduced role for CIs and extend recent evidence of atypical attention patterns across social and non-social domains in ASD.
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Affiliation(s)
- Z Ambarchi
- Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, 2050, Sydney, Australia
| | - K A Boulton
- Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, 2050, Sydney, Australia
| | - R Thapa
- Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, 2050, Sydney, Australia
| | - E E Thomas
- Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, 2050, Sydney, Australia
| | - M M DeMayo
- Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, 2050, Sydney, Australia
| | - N J Sasson
- Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, USA
| | - I B Hickie
- Brain and Mind Centre, Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Adam J Guastella
- Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, 2050, Sydney, Australia.
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22
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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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23
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Prillinger K, Radev ST, Amador de Lara G, Werneck-Rohrer S, Plener PL, Poustka L, Konicar L. Effects of Transcranial Direct Current Stimulation on Social Attention Patterns and Emotion Recognition Ability in Male Adolescents with Autism Spectrum Disorder. J Clin Med 2023; 12:5570. [PMID: 37685637 PMCID: PMC10489141 DOI: 10.3390/jcm12175570] [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: 06/20/2023] [Revised: 08/21/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023] Open
Abstract
Autism Spectrum Disorder (ASD) is characterized by impairments in social cognition including emotion recognition (ER) abilities. Common symptoms include unusual patterns of visual social attention, which are investigated as early developmental biomarkers for ASD. Transcranial Direct Current Stimulation (tDCS) has shown promising results in influencing social functioning in individuals with ASD. However, the effects of tDCS on social attention patterns and ER ability in adolescents with ASD remain unclear. This double-blind, sham-controlled, randomized clinical trial examined the effects of repeated sessions of tDCS on gaze behavior and ER ability in 22 male adolescents diagnosed with ASD. Participants received either 20 min of 2 mA active tDCS or sham stimulation for 10 days and an intra-stimulation training. Social allocation patterns were assessed using eye-tracking paradigms, including ER tasks. Our results indicated no tDCS-specific effects. Both groups showed improvements in ER and more frequent, faster, and longer fixations on the eyes than the mouth, and on social than nonsocial areas. In tasks with low social content, fixating the mouth seemed to increase ER accuracy. Understanding the effects of tDCS on social functioning in adolescents with ASD holds promise for the development of targeted interventions to improve their social cognition abilities.
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Affiliation(s)
- Karin Prillinger
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria
- Comprehensive Center for Pediatrics (CCP), Medical University of Vienna, 1090 Vienna, Austria
| | - Stefan T. Radev
- Cluster of Excellence STRUCTURES, Heidelberg University, 69120 Heidelberg, Germany;
| | - Gabriel Amador de Lara
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria
- Comprehensive Center for Pediatrics (CCP), Medical University of Vienna, 1090 Vienna, Austria
| | - Sonja Werneck-Rohrer
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria
- Comprehensive Center for Pediatrics (CCP), Medical University of Vienna, 1090 Vienna, Austria
| | - Paul L. Plener
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria
- Comprehensive Center for Pediatrics (CCP), Medical University of Vienna, 1090 Vienna, Austria
- Department of Child and Adolescent Psychiatry and Psychotherapy, University of Ulm, 89073 Ulm, Germany
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Lilian Konicar
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria
- Comprehensive Center for Pediatrics (CCP), Medical University of Vienna, 1090 Vienna, Austria
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24
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Tsang T, Naples AJ, Barney EC, Xie M, Bernier R, Dawson G, Dziura J, Faja S, Jeste SS, McPartland JC, Nelson CA, Murias M, Seow H, Sugar C, Webb SJ, Shic F, Johnson SP. Attention Allocation During Exploration of Visual Arrays in ASD: Results from the ABC-CT Feasibility Study. J Autism Dev Disord 2023; 53:3220-3229. [PMID: 35657448 PMCID: PMC10980886 DOI: 10.1007/s10803-022-05569-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/05/2022] [Indexed: 11/29/2022]
Abstract
Visual exploration paradigms involving object arrays have been used to examine salience of social stimuli such as faces in ASD. Recent work suggests performance on these paradigms may associate with clinical features of ASD. We evaluate metrics from a visual exploration paradigm in 4-to-11-year-old children with ASD (n = 23; 18 males) and typical development (TD; n = 23; 13 males). Presented with arrays containing faces and nonsocial stimuli, children with ASD looked less at (p = 0.002) and showed fewer fixations to (p = 0.022) faces than TD children, and spent less time looking at each object on average (p = 0.004). Attention to the screen and faces correlated positively with social and cognitive skills in the ASD group (ps < .05). This work furthers our understanding of objective measures of visual exploration in ASD and its potential for quantifying features of ASD.
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Affiliation(s)
| | | | - Erin C Barney
- Yale School of Medicine, New Haven, USA
- Seattle Children's Research Institute, 1920 Terry Ave, M/S Cure-3, Seattle, WA, 98101, USA
| | - Minhang Xie
- Seattle Children's Research Institute, 1920 Terry Ave, M/S Cure-3, Seattle, WA, 98101, USA
| | - Raphael Bernier
- Seattle Children's Research Institute, 1920 Terry Ave, M/S Cure-3, Seattle, WA, 98101, USA
- University of Washington, Seattle, USA
| | | | | | - Susan Faja
- Boston Children's Hospital, Boston, USA
- Harvard Medical School, Boston, USA
| | - Shafali Spurling Jeste
- University of California, Los Angeles, USA
- University of Southern California, Los Angeles, CA, USA
| | | | - Charles A Nelson
- Boston Children's Hospital, Boston, USA
- Harvard Medical School, Boston, USA
| | | | | | | | - Sara J Webb
- Seattle Children's Research Institute, 1920 Terry Ave, M/S Cure-3, Seattle, WA, 98101, USA
- University of Washington, Seattle, USA
| | - Frederick Shic
- Seattle Children's Research Institute, 1920 Terry Ave, M/S Cure-3, Seattle, WA, 98101, USA.
- University of Washington, Seattle, USA.
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25
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Tian L, Ma S, Li Y, Zhao MF, Xu C, Wang C, Zhang X, Gao L. Repetitive transcranial magnetic stimulation can improve the fixation of eyes rather than the fixation preference in children with autism spectrum disorder. Front Neurosci 2023; 17:1188648. [PMID: 37547145 PMCID: PMC10400712 DOI: 10.3389/fnins.2023.1188648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 07/03/2023] [Indexed: 08/08/2023] Open
Abstract
Background Transcranial magnetic stimulation (TMS) has been introduced into the intervention of autism spectrum disorders (ASD) as a possible new therapeutic option for modifying pathological neuroplasticity. However, the stimulating protocols of rTMS for ASD have not been approved unanimously, which affects the clinical popularization and application of rTMS. In addition, there is little research on the improvement of social processing of autistic children by rTMS. Methods We explored the clinical efficacy of rTMS and improvement of face processing with the protocol of left high-frequency and right low-frequency on bilateral dorsolateral prefrontal cortex (DLPFC), with a sample of 45 ASD participants aged 2-18. Results Our results showed that both the score on the Childhood Autism Rating Scale (CARS) and the fixations on the eyes of the human faces improved by two-session rTMS intervention, except for the percentage of eyes fixation. The mediation analysis indicated the item of "Adaptation to Change" of CARS mediated dominantly the improvement of eye-gaze behavior of ASD participants by rTMS. Conclusion Our study revealed the mechanism of rTMS in improving the eye-gaze behavior of the autism population, deepened the understanding of the function of rTMS in treating autistic social disorders, and provided a reference for combined treatment for ASD.
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Affiliation(s)
- Li Tian
- Tianjin Anding Hospital, Tianjin, China
| | - Shuai Ma
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yin Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Meng-fei Zhao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Chang Xu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Chen Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xin Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Lei Gao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, Tianjin, China
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26
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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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27
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Mottron L, Gagnon D. Prototypical autism: New diagnostic criteria and asymmetrical bifurcation model. Acta Psychol (Amst) 2023; 237:103938. [PMID: 37187094 DOI: 10.1016/j.actpsy.2023.103938] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 05/04/2023] [Accepted: 05/11/2023] [Indexed: 05/17/2023] Open
Abstract
The current "autism spectrum" DSM 5 diagnostic criteria and autism standardized diagnostic instruments promote considerable heterogeneity or clinical indecision and may be detrimental to the advancement of fundamental research on autism mechanisms. To increase clinical specificity and reorient research towards core autistic presentations, we propose new diagnostic criteria for prototypical autism during the age of 2- to 5-years. We include autism within other non-dominant, familiarly aggregated phenomena sharing asymmetrical developmental bifurcations, such as twin pregnancy, left handedness, and breech presentation/delivery. Following this model, nature, trajectory, and positive/negative signs structure of autism would result from the polarized problem of whether or not language and information is processed in a socially biased manner. Prototypical autism would follow a canonical developmental trajectory by which a gradual decline in social bias in the processing of incoming information, overtly beginning at the end of the first year, bifurcates into a prototypical autistic presentation in the second half of the second year of life. This bifurcation event is followed by a plateau, in which these atypicalities show maximal stringency and distinctiveness, and then ultimately, in most cases, by partial normalization. During the plateau period, the orientation towards, and processing of, information is considerably modified, with an absence of bias for social information, contrasting with a high level of interest in complex, unbiased information, independently of its social or non-social nature. Integrating autism into asymmetrical developmental bifurcations would explain the absence of deleterious neurological and genetic markers and the presence of familial transmission in canonical autistic presentations.
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Affiliation(s)
- Laurent Mottron
- Department of Psychiatry and Addictology, University of Montreal, 2900 blvd Edouard-Montpetit, Montreal, Qc H3T 1J4, Canada; CIUSSS-NIM Research Center, Riviere-des-Prairies Hospital, 7070, blvd Perras, Montreal, QC H1E 1A4, Canada.
| | - David Gagnon
- Department of Psychiatry and Addictology, University of Montreal, 2900 blvd Edouard-Montpetit, Montreal, Qc H3T 1J4, Canada; CIUSSS-NIM Research Center, Riviere-des-Prairies Hospital, 7070, blvd Perras, Montreal, QC H1E 1A4, Canada
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Ren P, Bi Q, Pang W, Wang M, Zhou Q, Ye X, Li L, Xiao L. Stratifying ASD and characterizing the functional connectivity of subtypes in resting-state fMRI. Behav Brain Res 2023; 449:114458. [PMID: 37121277 DOI: 10.1016/j.bbr.2023.114458] [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: 12/13/2022] [Revised: 04/12/2023] [Accepted: 04/26/2023] [Indexed: 05/02/2023]
Abstract
BACKGROUND Although stratifying autism spectrum disorder (ASD) into different subtypes is a common effort in the research field, few papers have characterized the functional connectivity alterations of ASD subgroups classified by their clinical presentations. METHODS This is a case-control rs-fMRI study, based on large samples of open database (Autism Brain Imaging Data Exchange, ABIDE). The rs-MRI data from n=415 ASD patients (males n=357), and n=574 typical development (TD) controls (males n=410) were included. Clinical features of ASD were extracted and classified using data from each patient's Autism Diagnostic Interview-Revised (ADI-R) evaluation. Each subtype of ASD was characterized by local functional connectivity using regional homogeneity (ReHo) for assessment, remote functional connectivity using voxel-mirrored homotopic connectivity (VMHC) for assessment, the whole-brain functional connectivity, and graph theoretical features. These identified imaging properties from each subtype were integrated to create a machine learning model for classifying ASD patients into the subtypes based on their rs-fMRI data, and an independent dataset was used to validate the model. RESULTS All ASD participants were classified into Cluster-1 (patients with more severe impairment) and Cluster-2 (patients with moderate impairment) according to the dimensional scores of ADI-R. When compared to the TD group, Cluster-1 demonstrated increased local connection and decreased remote connectivity, and widespread hyper- and hypo-connectivity variations in the whole-brain functional connectivity. Cluster-2 was quite similar to the TD group in both local and remote connectivity. But at the level of whole-brain functional connectivity, the MCC-related connections were specifically impaired in Cluster-2. These properties of functional connectivity were fused to build a machine learning model, which achieved ~75% for identifying ASD subtypes (Cluster-1 accuracy = 81.75%; Cluster-2 accuracy = 76.48%). CONCLUSIONS The stratification of ASD by clinical presentations can help to minimize disease heterogeneity and highlight the distinguished properties of brain connectivity in ASD subtypes.
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Affiliation(s)
- Pengchen Ren
- Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China; NHC Key Laboratory of Tropical Disease Control, Hainan Medical University, Haikou, China
| | - Qingshang Bi
- Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Wenbin Pang
- Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Meijuan Wang
- Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Qionglin Zhou
- Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Xiaoshan Ye
- Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Ling Li
- Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China; School of Pediatrics, Hainan Medical University, Haikou, China.
| | - Le Xiao
- Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China; School of Pediatrics, Hainan Medical University, Haikou, China.
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29
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Wall CA, Sabatos-DeVito M, Franz L, Howard J, Major S, Bey A, Dawson G. Eye-tracking measures of social versus nonsocial attention are related to level of social engagement during naturalistic caregiver-child interactions in autistic children. Autism Res 2023; 16:1052-1062. [PMID: 36942384 DOI: 10.1002/aur.2920] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 03/11/2023] [Indexed: 03/23/2023]
Abstract
Eye-tracking (ET) measures indexing social attention have been proposed as sensitive measures related to autism, but less is known about the relationship between social and nonsocial attention and naturalistic measures of social engagement and whether sex moderates this relationship. This study investigated ET measures of social attention as predictors of social engagement during a naturalistic caregiver-child interaction (CCI). Participants included 132, 2-7-year-old autistic children (77% male) and their caregivers. Participants engaged in a CCI and an ET task in which they viewed a video of an actor making dyadic bids toward the child with toys in the background. Pearson correlations and multiple regression analyzes revealed that ET measures correlated with social engagement behaviors, including degree of attention to the caregiver and objects, joint engagement with the caregiver, and language-based joint engagement. Children who spent more time looking at toys were more likely to be unengaged during social interaction. Those who spent more time looking at the actor's mouth were more likely to engage in coordinated play with and without language. Sex moderated the relationship between time looking at toys and unengagement during play; males who spent more time looking at toys spent more time unengaged during play, whereas females who spent more time looking at toys spent less time unengaged during play. Overall, ET measures of social and nonsocial attention correlated with the level of social engagement during naturalistic play, with some sex differences. Eye-tracking measures that predict interaction patterns may provide insight into promoting social engagement between caregivers and their autistic children and can inform outcome monitoring and intervention development.
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Affiliation(s)
- Carla A Wall
- Department of Psychiatry and Behavioral Sciences, Duke Center for Autism and Brain Development, Duke University Medical Center, Durham, North Carolina, 27705, USA
| | - Maura Sabatos-DeVito
- Department of Psychiatry and Behavioral Sciences, Duke Center for Autism and Brain Development, Duke University Medical Center, Durham, North Carolina, 27705, USA
| | - Lauren Franz
- Department of Psychiatry and Behavioral Sciences, Duke Center for Autism and Brain Development, Duke University Medical Center, Durham, North Carolina, 27705, USA
| | - Jill Howard
- Department of Psychiatry and Behavioral Sciences, Duke Center for Autism and Brain Development, Duke University Medical Center, Durham, North Carolina, 27705, USA
| | - Samantha Major
- Department of Psychiatry and Behavioral Sciences, Duke Center for Autism and Brain Development, Duke University Medical Center, Durham, North Carolina, 27705, USA
| | - Alexandra Bey
- Department of Psychiatry and Behavioral Sciences, Duke Center for Autism and Brain Development, Duke University Medical Center, Durham, North Carolina, 27705, USA
| | - Geraldine Dawson
- Department of Psychiatry and Behavioral Sciences, Duke Center for Autism and Brain Development, Duke University Medical Center, Durham, North Carolina, 27705, USA
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30
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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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Mendez AI, Tokish H, McQueen E, Chawla S, Klin A, Maitre NL, Klaiman C. A Comparison of the Clinical Presentation of Preterm Birth and Autism Spectrum Disorder: Commonalities and Distinctions in Children Under 3. Clin Perinatol 2023; 50:81-101. [PMID: 36868715 PMCID: PMC10842306 DOI: 10.1016/j.clp.2022.11.001] [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] [Indexed: 03/05/2023]
Abstract
Premature infants and infants later diagnosed with autism spectrum disorder (ASD) share many commonalities in clinical presentations. However, prematurity and ASD also have differences in clinical presentation. These overlapping phenotypes can lead to misdiagnoses of ASD or missing a diagnosis of ASD in preterm infants. We document these commonalities and differences in various developmental domains with the hope of aiding in the accurate early detection of ASD and timely intervention implementation in children born premature. Given the degree of similarities in presentation, evidence-based interventions designed specifically for preterm toddlers or toddlers with ASD may ultimately aid both populations.
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Affiliation(s)
- Adriana I Mendez
- Department of Psychology, Emory University, 36 Eagle Row, Atlanta, GA 30322, USA; Marcus Autism Center, 1920 Briarcliff Road, Atlanta, GA 30329, USA; Department of Pediatrics, Emory University School of Medicine, 2015 Uppergate Drive, Atlanta, GA 30322, USA; Children's Healthcare of Atlanta, 1405 Clifton Road Northeast, Atlanta, GA 30322, USA
| | - Hannah Tokish
- Marcus Autism Center, 1920 Briarcliff Road, Atlanta, GA 30329, USA; Department of Pediatrics, Emory University School of Medicine, 2015 Uppergate Drive, Atlanta, GA 30322, USA; Children's Healthcare of Atlanta, 1405 Clifton Road Northeast, Atlanta, GA 30322, USA
| | - Emma McQueen
- Marcus Autism Center, 1920 Briarcliff Road, Atlanta, GA 30329, USA; Department of Pediatrics, Emory University School of Medicine, 2015 Uppergate Drive, Atlanta, GA 30322, USA; Children's Healthcare of Atlanta, 1405 Clifton Road Northeast, Atlanta, GA 30322, USA
| | - Shivaang Chawla
- Marcus Autism Center, 1920 Briarcliff Road, Atlanta, GA 30329, USA; Department of Pediatrics, Emory University School of Medicine, 2015 Uppergate Drive, Atlanta, GA 30322, USA; Children's Healthcare of Atlanta, 1405 Clifton Road Northeast, Atlanta, GA 30322, USA
| | - Ami Klin
- Marcus Autism Center, 1920 Briarcliff Road, Atlanta, GA 30329, USA; Department of Pediatrics, Emory University School of Medicine, 2015 Uppergate Drive, Atlanta, GA 30322, USA; Children's Healthcare of Atlanta, 1405 Clifton Road Northeast, Atlanta, GA 30322, USA
| | - Nathalie L Maitre
- Department of Pediatrics, Emory University School of Medicine, 2015 Uppergate Drive, Atlanta, GA 30322, USA; Children's Healthcare of Atlanta, 1405 Clifton Road Northeast, Atlanta, GA 30322, USA
| | - Cheryl Klaiman
- Marcus Autism Center, 1920 Briarcliff Road, Atlanta, GA 30329, USA; Department of Pediatrics, Emory University School of Medicine, 2015 Uppergate Drive, Atlanta, GA 30322, USA; Children's Healthcare of Atlanta, 1405 Clifton Road Northeast, Atlanta, GA 30322, USA.
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Bast N, Mason L, Ecker C, Baumeister S, Banaschewski T, Jones EJH, Murphy DGM, Buitelaar JK, Loth E, Pandina G, Freitag CM, Auyeung B, Banaschewski T, Baron-Cohen S, Bast N, Baumeister S, Beckmann CF, Bölte S, Bourgeron T, Bours C, Brammer M, Brandeis D, Brogna C, de Bruijn Y, Buitelaar JK, Chakrabarti B, Charman T, Cornelissen I, Crawley D, Dell’Acqua F, Dumas G, Durston S, Ecker C, Faulkner J, Frouin V, Garcés P, Goyard D, Ham L, Hayward H, Hipp J, Holt R, Johnson M, Jones EJH, Kundu P, Lai MC, D’ardhuy XL, Lombardo MV, Loth E, Lythgoe DJ, Mandl R, Marquand A, Mason L, Mennes M, Meyer-Lindenberg A, Moessnang C, Murphy DGM, Oakley B, O’Dwyer L, Oldehinkel M, Oranje B, Pandina G, Persico AM, Ruggeri B, Ruigrok A, Sabet J, Sacco R, Cáceres ASJ, Simonoff E, Spooren W, Tillmann J, Toro R, Tost H, Waldman J, Williams SCR, Wooldridge C, Zwiers MP, Freitag CM. Sensory salience processing moderates attenuated gazes on faces in autism spectrum disorder: a case-control study. Mol Autism 2023; 14:5. [PMID: 36759875 PMCID: PMC9912590 DOI: 10.1186/s13229-023-00537-6] [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: 07/11/2022] [Accepted: 01/20/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Attenuated social attention is a key marker of autism spectrum disorder (ASD). Recent neuroimaging findings also emphasize an altered processing of sensory salience in ASD. The locus coeruleus-norepinephrine system (LC-NE) has been established as a modulator of this sensory salience processing (SSP). We tested the hypothesis that altered LC-NE functioning contributes to different SSP and results in diverging social attention in ASD. METHODS We analyzed the baseline eye-tracking data of the EU-AIMS Longitudinal European Autism Project (LEAP) for subgroups of autistic participants (n = 166, age = 6-30 years, IQ = 61-138, gender [female/male] = 41/125) or neurotypical development (TD; n = 166, age = 6-30 years, IQ = 63-138, gender [female/male] = 49/117) that were matched for demographic variables and data quality. Participants watched brief movie scenes (k = 85) depicting humans in social situations (human) or without humans (non-human). SSP was estimated by gazes on physical and motion salience and a corresponding pupillary response that indexes phasic activity of the LC-NE. Social attention is estimated by gazes on faces via manual areas of interest definition. SSP is compared between groups and related to social attention by linear mixed models that consider temporal dynamics within scenes. Models are controlled for comorbid psychopathology, gaze behavior, and luminance. RESULTS We found no group differences in gazes on salience, whereas pupillary responses were associated with altered gazes on physical and motion salience. In ASD compared to TD, we observed pupillary responses that were higher for non-human scenes and lower for human scenes. In ASD, we observed lower gazes on faces across the duration of the scenes. Crucially, this different social attention was influenced by gazes on physical salience and moderated by pupillary responses. LIMITATIONS The naturalistic study design precluded experimental manipulations and stimulus control, while effect sizes were small to moderate. Covariate effects of age and IQ indicate that the findings differ between age and developmental subgroups. CONCLUSIONS Pupillary responses as a proxy of LC-NE phasic activity during visual attention are suggested to modulate sensory salience processing and contribute to attenuated social attention in ASD.
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Affiliation(s)
- Nico Bast
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe-University, Deutschordenstraße 50, 60528, Frankfurt Am Main, Germany.
| | - Luke Mason
- grid.4464.20000 0001 2161 2573Centre for Brain and Cognitive Development, Birkbeck College, University of London, Malet Street, London, UK
| | - Christine Ecker
- grid.7839.50000 0004 1936 9721Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe-University, Deutschordenstraße 50, 60528 Frankfurt Am Main, Germany
| | - Sarah Baumeister
- grid.7700.00000 0001 2190 4373Department of Child and Adolescent Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Tobias Banaschewski
- grid.7700.00000 0001 2190 4373Department of Child and Adolescent Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Emily J. H. Jones
- grid.4464.20000 0001 2161 2573Centre for Brain and Cognitive Development, Birkbeck College, University of London, Malet Street, London, UK
| | - Declan G. M. Murphy
- grid.13097.3c0000 0001 2322 6764Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, London, UK
| | - Jan K. Buitelaar
- grid.10417.330000 0004 0444 9382Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Eva Loth
- grid.13097.3c0000 0001 2322 6764Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, London, UK
| | - Gahan Pandina
- grid.497530.c0000 0004 0389 4927Janssen Research & Development, 1125 Trenton Harbourton Road, Titusville, NJ 08560 USA
| | | | - Christine M. Freitag
- grid.7839.50000 0004 1936 9721Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe-University, Deutschordenstraße 50, 60528 Frankfurt Am Main, Germany
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Martínez-Lorca M, Gómez Fernández D. Rendimiento de los estímulos visuales en el diagnóstico del TEA por Eye Tracking: Revisión Sistemática. REVISTA DE INVESTIGACIÓN EN LOGOPEDIA 2023. [DOI: 10.5209/rlog.83937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023] Open
Abstract
El eye-tracking es una herramienta diagnóstica que tiene como fin el estudio del comportamiento de la mirada a través del escaneo de ojos para observar el seguimiento ocular, cómo se distribuye la mirada y la precisión de los movimientos oculares. Este sistema se ha utilizado con niños/as del Trastorno del Espectro Autista. El objetivo de esta revisión sistemática ha sido analizar el rendimiento de los estímulos visuales en el diagnóstico del TEA por método eye tracking. Para ello, se siguió la metodología PRISMA, realizando una búsqueda en las bases de datos PubMed, Science Direct y Scopus, así como, Reseach Gate. Se seleccionaron 22 artículos que cumplían los criterios de inclusión con experimentos unifactoriales, experimentales factoriales y cuasiexperimentales. Todos los experimentos han tenido un grupo control compuesto de muestra con participantes con desarrollo normotípico y de un grupo de caso compuesto de muestra con participantes TEA. Esta revisión sintetiza en tres categorías en base a las características del estímulo usado en el diagnóstico (estímulos sociales, no sociales y por confrontación), el análisis del rendimiento de los estímulos visuales, de manera que los estímulos sociales y los estímulos por confrontación van a ser eficaces para establecer un diagnóstico preciso de TEA puesto que permiten realizar un cribado de ambos grupos y establecer un riesgo temprano del trastorno.
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Wall CA, Shic F, Varanasi S, Roberts JE. Distinct social attention profiles in preschoolers with autism contrasted to fragile X syndrome. Autism Res 2023; 16:340-354. [PMID: 36408848 PMCID: PMC9957831 DOI: 10.1002/aur.2857] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 11/11/2022] [Indexed: 11/22/2022]
Abstract
Social attention is a critical skill for learning and development. Social attention difficulties are present in both non-syndromic autism spectrum disorder (nsASD) and fragile X syndrome (FXS), and our understanding of these difficulties is complicated by heterogeneity in both disorders, including co-occurring diagnoses like intellectual disability and social anxiety. Existing research largely utilizes a single index of social attention and rarely includes children with intellectual impairment or uses a cross-syndrome approach. This study investigated whether multi-trait social attention profiles including naturalistic initial eye contact, facial attention, and social scene attention differ in preschool children with nsASD and FXS matched on developmental ability (DQ) and contrasted to neurotypical (NT) controls. The relationship between DQ, ASD severity, and social anxiety and social attention profiles was also examined. Initial eye contact related to social scene attention, implicating that naturalistic social attention is consistent with responses during experimental conditions. Reduced eye contact and lower social scene attention characterized nsASD and FXS. Children with nsASD displayed less facial attention than FXS and NT children, who did not differ. Lower DQ and elevated ASD severity associated with decreased eye contact in nsASD and FXS, and lower DQ was associated with lower social scene attention in FXS. Sex, social anxiety, and age were not associated with social attention. These findings suggest social attention profiles of children with nsASD are highly similar to, yet distinct from, children with FXS. Children with nsASD may present with a global social attention deficit whereas FXS profiles may reflect context-dependent social avoidance.
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Affiliation(s)
- Carla A. Wall
- Duke University Medical Center, Center for Autism and Brain Development, 2424 Erwin Road, Suite 501, Durham, NC 27705
| | - Frederick Shic
- University of Washington, Seattle Children’s Research Institute, 1920 Terry Ave, Seattle, WA 98101
| | - Sreeja Varanasi
- University of South Carolina, School of Medicine, 6311 Garners Ferry Road, Columbia, SC 29209
| | - Jane E. Roberts
- University of South Carolina, Department of Psychology, 1512 Pendleton Street, Suite #220, Columbia, SC 29208
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Pierce K, Wen TH, Zahiri J, Andreason C, Courchesne E, Barnes CC, Lopez L, Arias SJ, Esquivel A, Cheng A. Level of Attention to Motherese Speech as an Early Marker of Autism Spectrum Disorder. JAMA Netw Open 2023; 6:e2255125. [PMID: 36753277 PMCID: PMC9909502 DOI: 10.1001/jamanetworkopen.2022.55125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 12/19/2022] [Indexed: 02/09/2023] Open
Abstract
Importance Caregivers have long captured the attention of their infants by speaking in motherese, a playful speech style characterized by heightened affect. Reduced attention to motherese in toddlers with autism spectrum disorder (ASD) may be a contributor to downstream language and social challenges and could be diagnostically revealing. Objective To investigate whether attention toward motherese speech can be used as a diagnostic classifier of ASD and is associated with language and social ability. Design, Setting, and Participants This diagnostic study included toddlers aged 12 to 48 months, spanning ASD and non-ASD diagnostic groups, at a research center. Data were collected from February 2018 to April 2021 and analyzed from April 2021 to March 2022. Exposures Gaze-contingent eye-tracking test. Main Outcomes and Measures Using gaze-contingent eye tracking wherein the location of a toddler's fixation triggered a specific movie file, toddlers participated in 1 or more 1-minute eye-tracking tests designed to quantify attention to motherese speech, including motherese vs traffic (ie, noisy vehicles on a highway) and motherese vs techno (ie, abstract shapes with music). Toddlers were also diagnostically and psychometrically evaluated by psychologists. Levels of fixation within motherese and nonmotherese movies and mean number of saccades per second were calculated. Receiver operating characteristic (ROC) curves were used to evaluate optimal fixation cutoff values and associated sensitivity, specificity, positive predictive value (PPV), and negative predictive value. Within the ASD group, toddlers were stratified based on low, middle, or high levels of interest in motherese speech, and associations with social and language abilities were examined. Results A total of 653 toddlers were included (mean [SD] age, 26.45 [8.37] months; 480 males [73.51%]). Unlike toddlers without ASD, who almost uniformly attended to motherese speech with a median level of 82.25% and 80.75% across the 2 tests, among toddlers with ASD, there was a wide range, spanning 0% to 100%. Both the traffic and techno paradigms were effective diagnostic classifiers, with large between-group effect sizes (eg, ASD vs typical development: Cohen d, 1.0 in the techno paradigm). Across both paradigms, a cutoff value of 30% or less fixation on motherese resulted in an area under the ROC curve (AUC) of 0.733 (95% CI, 0.693-0.773) and 0.761 (95% CI, 0.717-0.804), respectively; specificity of 98% (95% CI, 95%-99%) and 96% (95% CI, 92%-98%), respectively; and PPV of 94% (95% CI, 86%-98%). Reflective of heterogeneity and expected subtypes in ASD, sensitivity was lower at 18% (95% CI, 14%-22%) and 29% (95% CI, 24%-34%), respectively. Combining metrics increased the AUC to 0.841 (95% CI, 0.805-0.877). Toddlers with ASD who showed the lowest levels of attention to motherese speech had weaker social and language abilities. Conclusions and Relevance In this diagnostic study, a subset of toddlers showed low levels of attention toward motherese speech. When a cutoff level of 30% or less fixation on motherese speech was used, toddlers in this range were diagnostically classified as having ASD with high accuracy. Insight into which toddlers show unusually low levels of attention to motherese may be beneficial not only for early ASD diagnosis and prognosis but also as a possible therapeutic target.
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Affiliation(s)
- Karen Pierce
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Teresa H. Wen
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Javad Zahiri
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Charlene Andreason
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Eric Courchesne
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Cynthia C. Barnes
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Linda Lopez
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Steven J. Arias
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Ahtziry Esquivel
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Amanda Cheng
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
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Bao B, Zahiri J, Gazestani VH, Lopez L, Xiao Y, Kim R, Wen TH, Chiang AWT, Nalabolu S, Pierce K, Robasky K, Wang T, Hoekzema K, Eichler EE, Lewis NE, Courchesne E. A predictive ensemble classifier for the gene expression diagnosis of ASD at ages 1 to 4 years. Mol Psychiatry 2023; 28:822-833. [PMID: 36266569 PMCID: PMC9908553 DOI: 10.1038/s41380-022-01826-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 09/13/2022] [Accepted: 09/27/2022] [Indexed: 11/09/2022]
Abstract
Autism Spectrum Disorder (ASD) diagnosis remains behavior-based and the median age of diagnosis is ~52 months, nearly 5 years after its first-trimester origin. Accurate and clinically-translatable early-age diagnostics do not exist due to ASD genetic and clinical heterogeneity. Here we collected clinical, diagnostic, and leukocyte RNA data from 240 ASD and typically developing (TD) toddlers (175 toddlers for training and 65 for test). To identify gene expression ASD diagnostic classifiers, we developed 42,840 models composed of 3570 gene expression feature selection sets and 12 classification methods. We found that 742 models had AUC-ROC ≥ 0.8 on both Training and Test sets. Weighted Bayesian model averaging of these 742 models yielded an ensemble classifier model with accurate performance in Training and Test gene expression datasets with ASD diagnostic classification AUC-ROC scores of 85-89% and AUC-PR scores of 84-92%. ASD toddlers with ensemble scores above and below the overall ASD ensemble mean of 0.723 (on a scale of 0 to 1) had similar diagnostic and psychometric scores, but those below this ASD ensemble mean had more prenatal risk events than TD toddlers. Ensemble model feature genes were involved in cell cycle, inflammation/immune response, transcriptional gene regulation, cytokine response, and PI3K-AKT, RAS and Wnt signaling pathways. We additionally collected targeted DNA sequencing smMIPs data on a subset of ASD risk genes from 217 of the 240 ASD and TD toddlers. This DNA sequencing found about the same percentage of SFARI Level 1 and 2 ASD risk gene mutations in TD (12 of 105) as in ASD (13 of 112) toddlers, and classification based only on the presence of mutation in these risk genes performed at a chance level of 49%. By contrast, the leukocyte ensemble gene expression classifier correctly diagnostically classified 88% of TD and ASD toddlers with ASD risk gene mutations. Our ensemble ASD gene expression classifier is diagnostically predictive and replicable across different toddler ages, races, and ethnicities; out-performs a risk gene mutation classifier; and has potential for clinical translation.
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Affiliation(s)
- Bokan Bao
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Javad Zahiri
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Vahid H Gazestani
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Linda Lopez
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Yaqiong Xiao
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
- Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Raphael Kim
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Teresa H Wen
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Austin W T Chiang
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Srinivasa Nalabolu
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Karen Pierce
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
| | - Kimberly Robasky
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, US
- School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Carolina Health and Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Tianyun Wang
- Department of Medical Genetics, Center for Medical Genetics, Peking University Health Science Center, 100191, Beijing, China
- Neuroscience Research Institute, Peking University; Key Laboratory for Neuroscience, Ministry of Education of China & National Health Commission of China, 100191, Beijing, 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
| | - Nathan E Lewis
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
| | - Eric Courchesne
- Autism Center of Excellence, Department of Neuroscience, University of California San Diego, La Jolla, CA, USA.
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Putnam OC, Sasson N, Parish-Morris J, Harrop C. Effects of social complexity and gender on social and non-social attention in male and female autistic children: A comparison of four eye-tracking paradigms. Autism Res 2023; 16:315-326. [PMID: 36408851 DOI: 10.1002/aur.2851] [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: 12/03/2021] [Accepted: 10/31/2022] [Indexed: 11/22/2022]
Abstract
Eye tracking has long been used to characterize differences in social attention between autistic and non-autistic children, but recent work has shown that these patterns may vary widely according to the biological sex of the participants and the social complexity and gender-typicality of the eye tracking stimuli (e.g., barbies vs. transformers). To better understand effects of sex, social complexity, and object gender-typicality on social and non-social gaze behavior in autism, we compared the visual attention patterns of 67 autistic (ASD) and non-autistic (NA) males (M) and females (F) (ASD M = 21; ASD F = 18; NA M = 14; NA F = 14) across four eye tracking paradigms varying in social complexity and object gender-typicality. We found consistency across paradigms in terms of overall attention and attention to social stimuli, but attention to objects varied when paradigms considered gender in their stimulus design. Children attended more to gendered objects, particularly when the gender-typicality of the object matched their assigned sex. These results demonstrate that visual social attention in autism is affected by interactions between a child's biological sex, social scene complexity, and object gender-typicality and have broad implications for the design and interpretation of eye tracking studies.
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Affiliation(s)
- Orla C Putnam
- Division of Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Noah Sasson
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, USA
| | - Julia Parish-Morris
- Department of Child and Adolescent Psychiatry, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.,Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Clare Harrop
- Division of Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,TEACCH Autism Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Wang C, Zhang L, Zhang J, Qiao L, Liu M. Fusing Multiview Functional Brain Networks by Joint Embedding for Brain Disease Identification. J Pers Med 2023; 13:jpm13020251. [PMID: 36836485 PMCID: PMC9958959 DOI: 10.3390/jpm13020251] [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: 11/12/2022] [Revised: 12/27/2022] [Accepted: 01/13/2023] [Indexed: 01/31/2023] Open
Abstract
Background: Functional brain networks (FBNs) derived from resting-state functional MRI (rs-fMRI) have shown great potential in identifying brain disorders, such as autistic spectrum disorder (ASD). Therefore, many FBN estimation methods have been proposed in recent years. Most existing methods only model the functional connections between brain regions of interest (ROIs) from a single view (e.g., by estimating FBNs through a specific strategy), failing to capture the complex interactions among ROIs in the brain. Methods: To address this problem, we propose fusion of multiview FBNs through joint embedding, which can make full use of the common information of multiview FBNs estimated by different strategies. More specifically, we first stack the adjacency matrices of FBNs estimated by different methods into a tensor and use tensor factorization to learn the joint embedding (i.e., a common factor of all FBNs) for each ROI. Then, we use Pearson's correlation to calculate the connections between each embedded ROI in order to reconstruct a new FBN. Results: Experimental results obtained on the public ABIDE dataset with rs-fMRI data reveal that our method is superior to several state-of-the-art methods in automated ASD diagnosis. Moreover, by exploring FBN "features" that contributed most to ASD identification, we discovered potential biomarkers for ASD diagnosis. The proposed framework achieves an accuracy of 74.46%, which is generally better than the compared individual FBN methods. In addition, our method achieves the best performance compared to other multinetwork methods, i.e., an accuracy improvement of at least 2.72%. Conclusions: We present a multiview FBN fusion strategy through joint embedding for fMRI-based ASD identification. The proposed fusion method has an elegant theoretical explanation from the perspective of eigenvector centrality.
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Affiliation(s)
- Chengcheng Wang
- School of Mathematics Science, Liaocheng University, Liaocheng 252000, China
| | - Limei Zhang
- School of Computer Science and Technology, Shandong Jianzhu University, Jinan 250101, China
- Correspondence: (L.Z.); (M.L.)
| | - Jinshan Zhang
- College of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong 643000, China
| | - Lishan Qiao
- School of Mathematics Science, Liaocheng University, Liaocheng 252000, China
| | - Mingxia Liu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Correspondence: (L.Z.); (M.L.)
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Weichselbaum C, Hendrix N, Albright J, Dougherty JD, Botteron KN, Constantino JN, Marrus N. Social attention during object engagement: toward a cross-species measure of preferential social orienting. J Neurodev Disord 2022; 14:58. [PMID: 36517753 PMCID: PMC9749210 DOI: 10.1186/s11689-022-09467-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 11/15/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND A central challenge in preclinical research investigating the biology of autism spectrum disorder (ASD) is the translation of ASD-related social phenotypes across humans and animal models. Social orienting, an observable, evolutionarily conserved behavior, represents a promising cross-species ASD phenotype given that disrupted social orienting is an early-emerging ASD feature with evidence for predicting familial recurrence. Here, we adapt a competing-stimulus social orienting task from domesticated dogs to naturalistic play behavior in human toddlers and test whether this approach indexes decreased social orienting in ASD. METHODS Play behavior was coded from the Autism Diagnostic Observation Schedule (ADOS) in two samples of toddlers, each with and without ASD. Sample 1 (n = 16) consisted of community-ascertained research participants, while Sample 2 involved a prospective study of infants at a high or low familial liability for ASD (n = 67). Coding quantified the child's looks towards the experimenter and caregiver, a social stimulus, while playing with high-interest toys, a non-social stimulus. A competing-stimulus measure of "Social Attention During Object Engagement" (SADOE) was calculated by dividing the number of social looks by total time spent playing with toys. SADOE was compared based on ASD diagnosis and differing familial liability for ASD. RESULTS In both samples, toddlers with ASD exhibited significantly lower SADOE compared to toddlers without ASD, with large effect sizes (Hedges' g ≥ 0.92) driven by a lower frequency of child-initiated spontaneous looks. Among toddlers at high familial likelihood of ASD, toddlers with ASD showed lower SADOE than toddlers without ASD, while SADOE did not differ based on presence or absence of familial ASD risk alone. SADOE correlated negatively with ADOS social affect calibrated severity scores and positively with the Communication and Symbolic Behavior Scales social subscale. In a binary logistic regression model, SADOE alone correctly classified 74.1% of cases, which rose to 85.2% when combined with cognitive development. CONCLUSIONS This work suggests that a brief behavioral measure pitting a high-interest nonsocial stimulus against the innate draw of social partners can serve as a feasible cross-species measure of social orienting, with implications for genetically informative behavioral phenotyping of social deficits in ASD and other neurodevelopmental disorders.
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Affiliation(s)
- Claire Weichselbaum
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO, 63110, USA
- Department of Genetics, Washington University School of Medicine, 660 S. Euclid Ave, Box 8232, St Louis, MO, 63110, USA
| | - Nicole Hendrix
- Department of Pediatrics, Marcus Autism Center, Emory University Pediatric Institute, 1920 Briarcliff Rd, Atlanta, GA, 30329, USA
| | - Jordan Albright
- Virginia Tech Autism Clinic & Center for Autism Research, Virginia Polytechnic Institute and State University, 3110 Prices Fork Rd, Blacksburg, VA, 24060, USA
| | - Joseph D Dougherty
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO, 63110, USA
- Department of Genetics, Washington University School of Medicine, 660 S. Euclid Ave, Box 8232, St Louis, MO, 63110, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO, 63110, USA
- Department of Radiology, Washington University School of Medicine, 660 S. Euclid, 35 Ave, St Louis, MO, 63110, USA
| | - John N Constantino
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO, 63110, USA
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO, 63110, USA.
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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: 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: 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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41
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Del Bianco T, Mason L, Lai M, Loth E, Tillmann J, Charman T, Hayward H, Gleissl T, Buitelaar JK, Murphy DG, Baron‐Cohen S, Bölte S, Johnson MH, Jones EJH. Unique dynamic profiles of social attention in autistic females. J Child Psychol Psychiatry 2022; 63:1602-1614. [PMID: 35634865 PMCID: PMC9796530 DOI: 10.1111/jcpp.13630] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 02/16/2022] [Accepted: 03/25/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Social attention affords learning opportunities across development and may contribute to individual differences in developmental trajectories, such as between male and female individuals, and in neurodevelopmental conditions, such as autism. METHODS Using eye-tracking, we measured social attention in a large cohort of autistic (n = 123) and nonautistic females (n = 107), and autistic (n = 330) and nonautistic males (n = 204), aged 6-30 years. Using mixed Growth Curve Analysis, we modelled sex and diagnostic effects on the temporal dynamics of proportional looking time to three types of social stimuli (lean-static, naturalistic-static, and naturalistic-dynamic) and examined the link between individual differences and dimensional social and nonsocial autistic traits in autistic females and males. RESULTS In the lean-static stimulus, average face-looking was higher in females than in males of both autistic and nonautistic groups. Differences in the dynamic pattern of face-looking were seen in autistic vs. nonautistic females, but not males, with face-looking peaking later in the trial in autistic females. In the naturalistic-dynamic stimulus, average face-looking was higher in females than in males of both groups; changes in the dynamic pattern of face looking were seen in autistic vs. nonautistic males, but not in females, with a steeper peak in nonautistic males. Lower average face-looking was associated with higher observer-measured autistic characteristics in autistic females, but not in males. CONCLUSIONS Overall, we found stronger social attention in females to a similar degree in both autistic and nonautistic groups. Nonetheless, the dynamic profiles of social attention differed in different ways in autistic females and males compared to their nonautistic peers, and autistic traits predicted trends of average face-looking in autistic females. These findings support the role of social attention in the emergence of sex-related differences in autistic characteristics, suggesting an avenue to phenotypic stratification.
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Affiliation(s)
- Teresa Del Bianco
- Centre for Brain and Cognitive DevelopmentBirkbeckUniversity of LondonLondonUK
| | - Luke Mason
- Centre for Brain and Cognitive DevelopmentBirkbeckUniversity of LondonLondonUK
| | - Meng‐Chuan Lai
- Centre for Addiction and Mental Health and The Hospital for Sick ChildrenDepartment of PsychiatryUniversity of TorontoTorontoONCanada
- Autism Research CentreDepartment of PsychiatryUniversity of CambridgeCambridgeUK
- Department of PsychiatryNational Taiwan University Hospital and College of MedicineTaipeiTaiwan
| | - Eva Loth
- Institute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUK
| | - Julian Tillmann
- Institute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUK
| | - Tony Charman
- Institute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUK
| | - Hannah Hayward
- Institute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUK
| | - Teresa Gleissl
- Institute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUK
| | - Jan K. Buitelaar
- Department of Cognitive NeuroscienceDonders Institute for Brain, Cognition and BehaviourNijmegenThe Netherlands
| | - Declan G.M. Murphy
- Institute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUK
| | - Simon Baron‐Cohen
- Autism Research CentreDepartment of PsychiatryUniversity of CambridgeCambridgeUK
| | - Sven Bölte
- Center of Neurodevelopmental Disorders (KIND)Department of Women’s HealthKarolinska InstitutetSolnaSweden
| | - Mark H. Johnson
- Centre for Brain and Cognitive DevelopmentBirkbeckUniversity of LondonLondonUK
- Department of PsychologyUniversity of CambridgeCambridgeUK
| | - Emily J. H. Jones
- Centre for Brain and Cognitive DevelopmentBirkbeckUniversity of LondonLondonUK
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Smith CJ, James S, Skepnek E, Leuthe E, Outhier LE, Avelar D, Barnes CC, Bacon E, Pierce K. Implementing the Get SET Early Model in a Community Setting to Lower the Age of ASD Diagnosis. J Dev Behav Pediatr 2022; 43:494-502. [PMID: 36443921 PMCID: PMC9725891 DOI: 10.1097/dbp.0000000000001130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 08/03/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The objective of this study was to implement a validated, university-based early detection program, the Get SET Early model, in a community-based setting. Get SET was developed to improve Screening, Evaluation, and Treatment referral practices. Specifically, its purpose was to lower the age of diagnosis and enable toddlers with autism spectrum disorder (ASD) to begin treatment by 36 months. METHODS One hundred nine pediatric health care providers were recruited to administer the Communication and Symbolic Behavior Scales Developmental Profile Infant-Toddler Checklist at 12-month, 18-month, and 24-month well-baby visits and referred toddlers whose scores indicated the need for a developmental evaluation. Licensed psychologists were trained to provide diagnostic evaluations to toddlers as young as 12 months. Mean age of diagnosis was compared with current population rates. RESULTS In 4 years, 45,504 screens were administered at well-baby visits, and 648 children were evaluated at least 1 time. The overall median age for ASD diagnosis was 22 months, which is significantly lower than the median age reported by the CDC (57 months). For children screened at 12 months, the age of first diagnosis was significantly lower at 15 months. Of the 350 children who completed at least 1 follow-up evaluation, 323 were diagnosed with ASD or another delay, and 239 (74%) were enrolled in a treatment program. CONCLUSION Toddlers with ASD were diagnosed nearly 3 years earlier than the most recent CDC report, which allowed children to start a treatment program by 36 months. Overall, Get SET Early was an effective strategy for improving the current approach to screening, evaluation, and treatment. Efforts to demonstrate sustainability are underway.
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Affiliation(s)
| | - Stephen James
- Southwest Autism Research and Resource Center, Phoenix
| | - Erica Skepnek
- Southwest Autism Research and Resource Center, Phoenix
| | - Eileen Leuthe
- Southwest Autism Research and Resource Center, Phoenix
| | | | - Delia Avelar
- Southwest Autism Research and Resource Center, Phoenix
| | | | - Elizabeth Bacon
- University of California, San Diego Department of Neurosciences
| | - Karen Pierce
- University of California, San Diego Department of Neurosciences
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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: 5] [Impact Index Per Article: 2.5] [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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Meimei L, Zenghui M. A systematic review of telehealth screening, assessment, and diagnosis of autism spectrum disorder. Child Adolesc Psychiatry Ment Health 2022; 16:79. [PMID: 36209100 PMCID: PMC9547568 DOI: 10.1186/s13034-022-00514-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 09/21/2022] [Indexed: 11/18/2022] Open
Abstract
There is a significant delay between parents having concerns and receiving a formal assessment and Autism Spectrum Disorder (ASD) diagnosis. Telemedicine could be an effective alternative that shortens the waiting time for parents and primary health providers in ASD screening and diagnosis. We conducted a systematic review examining the uses of telemedicine technology for ASD screening, assessment, or diagnostic purposes and to what extent sample characteristics and psychometric properties were reported. This study searched four databases from 2000 to 2022 and obtained 26 studies that met the inclusion criteria. The 17 applications used in these 26 studies were divided into three categories based on their purpose: screening, diagnostic, and assessment. The results described the data extracted, including study characteristics, applied methods, indicators seen, and psychometric properties. Among the 15 applications with psychometric properties reported, the sensitivity ranged from 0.70 to 1, and the specificity ranged from 0.38 to 1. The present study highlights the strengths and weaknesses of current telemedicine approaches and provides a basis for future research. More rigorous empirical studies with larger sample sizes are needed to understand the feasibility, strengths, and limitations of telehealth technologies for screening, assessing, and diagnosing ASD.
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Affiliation(s)
- Liu Meimei
- grid.12380.380000 0004 1754 9227Vrije University Amsterdam, Amsterdam, The Netherlands
| | - Ma Zenghui
- Beijing ALSOABA Technology Co. LTD, ALSOLIFE, Beijing, China
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Wang M, Wang L, Yang B, Yuan L, Wang X, Potenza MN, Dong GH. Disrupted dynamic network reconfiguration of the brain functional networks of individuals with autism spectrum disorder. Brain Commun 2022; 4:fcac177. [PMID: 35950094 PMCID: PMC9356733 DOI: 10.1093/braincomms/fcac177] [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: 12/17/2021] [Revised: 04/06/2022] [Accepted: 07/31/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Human and animal studies on brain functions in subjects with autism spectrum disorder have confirmed the aberrant organization of functional networks. However, little is known about the neural features underlying these impairments.
Using community structure analyses (recruitment and integration), the current study explored the functional network features of individuals with autism spectrum disorder from one database (101 individuals with autism spectrum disorder and 120 healthy controls) and tested the replicability in an independent database (50 individuals with autism spectrum disorder and 74 healthy controls). Additionally, the study divided subjects into different age groups and tested the features in different subgroups.
As for recruitment, subjects with autism spectrum disorder had lower coefficients in the default mode network and basal ganglia network than healthy controls. The integration results showed that subjects with autism spectrum disorder had a lower coefficient than healthy controls in the default mode network -medial frontal network and basal ganglia network -limbic networks. The results for the default mode network were mostly replicated in the independent database, but the results for the basal ganglia network were not. The results for different age groups were also analyzed, and the replicability was tested in different databases.
The lower recruitment in subjects with autism spectrum disorder suggests that they are less efficient at engaging these networks when performing relevant tasks. The lower integration results suggest impaired flexibility in cognitive functions in individuals with autism spectrum disorder. All these findings might explain why subjects with autism spectrum disorder show impaired brain networks and have important therapeutic implications for developing potentially effective interventions.
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Affiliation(s)
- Min Wang
- Center for Cognition and Brain Disorders, School of Clinical Medicine and the Affiliated Hospital of Hangzhou Normal University , Hangzhou, Zhejiang Province , PR China
| | - Lingxiao Wang
- Center for Cognition and Brain Disorders, School of Clinical Medicine and the Affiliated Hospital of Hangzhou Normal University , Hangzhou, Zhejiang Province , PR China
| | - Bo Yang
- Center for Cognition and Brain Disorders, School of Clinical Medicine and the Affiliated Hospital of Hangzhou Normal University , Hangzhou, Zhejiang Province , PR China
| | - Lixia Yuan
- Center for Cognition and Brain Disorders, School of Clinical Medicine and the Affiliated Hospital of Hangzhou Normal University , Hangzhou, Zhejiang Province , PR China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments , Hangzhou, Zhejiang Province , PR China
| | - Xiuqin Wang
- Center for Cognition and Brain Disorders, School of Clinical Medicine and the Affiliated Hospital of Hangzhou Normal University , Hangzhou, Zhejiang Province , PR China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments , Hangzhou, Zhejiang Province , PR China
| | - Marc N Potenza
- Department of Psychiatry and Child Study Center, Yale University School of Medicine , New Haven, CT , USA
- Connecticut Mental Health Center , New Haven, CT , USA
- Connecticut Council on Problem Gambling , Wethersfield, CT , USA
- Department of Neuroscience and Wu Tsai Institute, Yale University , New Haven, CT , USA
| | - Guang Heng Dong
- Center for Cognition and Brain Disorders, School of Clinical Medicine and the Affiliated Hospital of Hangzhou Normal University , Hangzhou, Zhejiang Province , PR China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments , Hangzhou, Zhejiang Province , PR China
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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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47
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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: 9] [Impact Index Per Article: 4.5] [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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48
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Nayar K, Shic F, Winston M, Losh M. A constellation of eye-tracking measures reveals social attention differences in ASD and the broad autism phenotype. Mol Autism 2022; 13:18. [PMID: 35509089 PMCID: PMC9069739 DOI: 10.1186/s13229-022-00490-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 02/10/2022] [Indexed: 11/25/2022] Open
Abstract
Background Social attention differences, expressed through gaze patterns, have been documented in autism spectrum disorder (ASD), with subtle differences also reported among first-degree relatives, suggesting a shared genetic link. Findings have mostly been derived from standard eye-tracking methods (total fixation count or total fixation duration). Given the dynamics of visual attention, these standard methods may obscure subtle, yet core, differences in visual attention mechanisms, particularly those presenting sub-clinically. This study applied a constellation of eye-tracking analyses to gaze data from individuals with ASD and their parents. Methods This study included n = 156 participants across groups, including ASD (n = 24) and control (n = 32) groups, and parents of individuals with ASD (n = 61) and control parents (n = 39). A complex scene with social/non-social elements was displayed and gaze tracked via an eye tracker. Eleven analytic methods from the following categories were analyzed: (1) standard variables, (2) temporal dynamics (e.g., gaze over time), (3) fixation patterns (e.g., perseverative or regressive fixations), (4) first fixations, and (5) distribution patterns. MANOVAs, growth curve analyses, and Chi-squared tests were applied to examine group differences. Finally, group differences were examined on component scores derived from a principal component analysis (PCA) that reduced variables to distinct dimensions. Results No group differences emerged among standard, first fixation, and distribution pattern variables. Both the ASD and ASD parent groups demonstrated on average reduced social attention over time and atypical perseverative fixations. Lower social attention factor scores derived from PCA strongly differentiated the ASD and ASD parent groups from controls, with parent findings driven by the subset of parents demonstrating the broad autism phenotype. Limitations To generalize these findings, larger sample sizes, extended viewing contexts (e.g., dynamic stimuli), and even more eye-tracking analytical methods are needed. Conclusions Fixations over time and perseverative fixations differentiated ASD and the ASD parent groups from controls, with the PCA most robustly capturing social attention differences. Findings highlight their methodological utility in studies of the (broad) autism spectrum to capture nuanced visual attention differences that may relate to clinical symptoms in ASD, and reflect genetic liability in clinically unaffected relatives. This proof-of-concept study may inform future studies using eye tracking across populations where social attention is impacted. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-022-00490-w.
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Affiliation(s)
- Kritika Nayar
- Neurodevelopmental Disabilities Lab, Roxelyn and Richard Pepper, Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, 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
| | - Molly Winston
- Neurodevelopmental Disabilities Lab, Roxelyn and Richard Pepper, Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA
| | - Molly Losh
- Neurodevelopmental Disabilities Lab, Roxelyn and Richard Pepper, Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.
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49
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Huang G, Qiu Y, Tan S, Ma Q, Zou L. Impaired odor identification ability and olfactory hedonic capacity in children with elevated autistic traits. J SENS STUD 2022. [DOI: 10.1111/joss.12746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Gao‐jie Huang
- Chemical Senses and Mental Health Laboratory, Department of Psychology School of Public Health, Southern Medical University Guangzhou Guangdong China
| | - Yi‐qi Qiu
- Chemical Senses and Mental Health Laboratory, Department of Psychology School of Public Health, Southern Medical University Guangzhou Guangdong China
| | - Shao‐zhen Tan
- Guangzhou Social Welfare Institute Guangzhou Guangdong China
| | - Qian‐wen Ma
- Chemical Senses and Mental Health Laboratory, Department of Psychology School of Public Health, Southern Medical University Guangzhou Guangdong China
- Guangzhou Social Welfare Institute Guangzhou Guangdong China
| | - Lai‐quan Zou
- Chemical Senses and Mental Health Laboratory, Department of Psychology School of Public Health, Southern Medical University Guangzhou Guangdong China
- Department of Psychiatry Zhujiang Hospital, Southern Medical University Guangzhou Guangdong China
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50
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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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