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Mukherjee D, Bhavnani S, Lockwood Estrin G, Rao V, Dasgupta J, Irfan H, Chakrabarti B, Patel V, Belmonte MK. Digital tools for direct assessment of autism risk during early childhood: A systematic review. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2024; 28:6-31. [PMID: 36336996 PMCID: PMC10771029 DOI: 10.1177/13623613221133176] [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] [Indexed: 11/09/2022]
Abstract
LAY ABSTRACT The challenge of finding autistic children, and finding them early enough to make a difference for them and their families, becomes all the greater in parts of the world where human and material resources are in short supply. Poverty of resources delays interventions, translating into a poverty of outcomes. Digital tools carry potential to lessen this delay because they can be administered by non-specialists in children's homes, schools or other everyday environments, they can measure a wide range of autistic behaviours objectively and they can automate analysis without requiring an expert in computers or statistics. This literature review aimed to identify and describe digital tools for screening children who may be at risk for autism. These tools are predominantly at the 'proof-of-concept' stage. Both portable (laptops, mobile phones, smart toys) and fixed (desktop computers, virtual-reality platforms) technologies are used to present computerised games, or to record children's behaviours or speech. Computerised analysis of children's interactions with these technologies differentiates children with and without autism, with promising results. Tasks assessing social responses and hand and body movements are the most reliable in distinguishing autistic from typically developing children. Such digital tools hold immense potential for early identification of autism spectrum disorder risk at a large scale. Next steps should be to further validate these tools and to evaluate their applicability in a variety of settings. Crucially, stakeholders from underserved communities globally must be involved in this research, lest it fail to capture the issues that these stakeholders are facing.
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Affiliation(s)
- Debarati Mukherjee
- Indian Institute of Public Health - Bengaluru, Public Health Foundation of India, India
| | | | | | - Vaisnavi Rao
- Institute for Democracy and Economic Affairs (IDEAS), Malaysia
| | | | | | | | - Vikram Patel
- Child Development Group, Sangath, India
- Harvard Medical School, USA
- Harvard T.H. Chan School of Public Health, USA
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2
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Minissi ME, Gómez-Zaragozá L, Marín-Morales J, Mantovani F, Sirera M, Abad L, Cervera-Torres S, Gómez-García S, Chicchi Giglioli IA, Alcañiz M. The whole-body motor skills of children with autism spectrum disorder taking goal-directed actions in virtual reality. Front Psychol 2023; 14:1140731. [PMID: 37089733 PMCID: PMC10117537 DOI: 10.3389/fpsyg.2023.1140731] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/13/2023] [Indexed: 04/08/2023] Open
Abstract
Many symptoms of the autism spectrum disorder (ASD) are evident in early infancy, but ASD is usually diagnosed much later by procedures lacking objective measurements. It is necessary to anticipate the identification of ASD by improving the objectivity of the procedure and the use of ecological settings. In this context, atypical motor skills are reaching consensus as a promising ASD biomarker, regardless of the level of symptom severity. This study aimed to assess differences in the whole-body motor skills between 20 children with ASD and 20 children with typical development during the execution of three tasks resembling regular activities presented in virtual reality. The virtual tasks asked to perform precise and goal-directed actions with different limbs vary in their degree of freedom of movement. Parametric and non-parametric statistical methods were applied to analyze differences in children's motor skills. The findings endorsed the hypothesis that when particular goal-directed movements are required, the type of action could modulate the presence of motor abnormalities in ASD. In particular, the ASD motor abnormalities emerged in the task requiring to take with the upper limbs goal-directed actions with low degree of freedom. The motor abnormalities covered (1) the body part mainly involved in the action, and (2) further body parts not directly involved in the movement. Findings were discussed against the background of atypical prospective control of movements and visuomotor discoordination in ASD. These findings contribute to advance the understanding of motor skills in ASD while deepening ecological and objective assessment procedures based on VR.
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Affiliation(s)
- Maria Eleonora Minissi
- Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano (HUMAN-tech), Universitat Politécnica de Valencia, Valencia, Spain
| | - Lucía Gómez-Zaragozá
- Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano (HUMAN-tech), Universitat Politécnica de Valencia, Valencia, Spain
| | - Javier Marín-Morales
- Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano (HUMAN-tech), Universitat Politécnica de Valencia, Valencia, Spain
| | - Fabrizia Mantovani
- Centre for Studies in Communication Sciences “Luigi Anolli” (CESCOM), Department of Human Sciences for Education “Riccardo Massa”, University of Milano - Bicocca, Milan, Italy
| | - Marian Sirera
- Red Cenit, Centros de Desarrollo Cognitivo, Valencia, Spain
| | - Luis Abad
- Red Cenit, Centros de Desarrollo Cognitivo, Valencia, Spain
| | - Sergio Cervera-Torres
- Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano (HUMAN-tech), Universitat Politécnica de Valencia, Valencia, Spain
| | - Soledad Gómez-García
- Facultad de Magisterio y Ciencias de la Educación, Universidad Católica de Valencia, Valencia, Spain
| | - Irene Alice Chicchi Giglioli
- Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano (HUMAN-tech), Universitat Politécnica de Valencia, Valencia, Spain
| | - Mariano Alcañiz
- Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano (HUMAN-tech), Universitat Politécnica de Valencia, Valencia, Spain
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Bhat A. Multidimensional motor performance in children with autism mostly remains stable with age and predicts social communication delay, language delay, functional delay, and repetitive behavior severity after accounting for intellectual disability or cognitive delay: A SPARK dataset analysis. Autism Res 2023; 16:208-229. [PMID: 36533674 PMCID: PMC9939031 DOI: 10.1002/aur.2870] [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: 08/26/2022] [Accepted: 11/25/2022] [Indexed: 12/24/2022]
Abstract
When motor difficulties continue into adolescence/adulthood, they could negatively impact an individual with autism spectrum disorder (ASD)'s daily living skills, physical fitness, as well as physical and mental health/well-being. Few studies have examined motor difficulties in children with ASD as a function of sex or age; however, greater cognitive challenges are associated with worse general motor performance. Based on the Developmental Coordination Disorder-Questionnaire (DCD-Q) data from the SPARK study sample, 87%-88% children with ASD were at-risk for a general motor impairment that persisted until 15 years and was related to their core and co-occurring difficulties. Bhat et al. confirmed motor difficulties in children with ASD on multiple motor dimensions that predicted core and co-occurring conditions after accounting for age and sex. However, presence of intellectual disability (ID) or cognitive delay was not controlled in the previous analysis. Additionally, the effects of age, sex, and cognitive ability on multidimensional motor difficulties of the SPARK sample have not been discussed before. Therefore, this analysis examines the effects of age, sex, and cognitive ability (presence of ID or level of cognitive delay) on the motor performance of children from the SPARK sample using the DCD-Q. Except fine motor skills, multiple motor domains did not change with age in children with ASD. Females without ID improved their fine motor scores with age, and performed better compared to males without ID. Children with ASD and ID had greater motor difficulties across multiple motor domains than those without ID. Even after controlling for age, sex, and presence of ID/cognitive delay; motor performance was predictive of social communication skills, repetitive behavior severity, as well as language and functional delays. Gross motor skills contributed more than fine motor and general motor competence skills in predicting social communication delay. However, fine motor and general motor competence skills contributed more than gross motor skills in predicting repetitive behavior severity and language delay. Both, fine and gross motor skills predicted functional delay. In light of consistent findings on motor difficulties in children with ASD, adding motor issues as a specifier within the ASD definition could provide a clear clinical route for movement clinicians to address motor difficulties of individuals with ASD.
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Affiliation(s)
- Anjana Bhat
- Department of Physical Therapy, University of Delaware, Newark, Delaware, USA,Biomechanics & Movement Science Program, University of Delaware, Newark, Delaware, USA,Department of Psychological & Brain Sciences, University of Delaware, Newark, Delaware, USA
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4
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Philippsen A, Tsuji S, Nagai Y. Quantifying developmental and individual differences in spontaneous drawing completion among children. Front Psychol 2022; 13:783446. [DOI: 10.3389/fpsyg.2022.783446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 10/19/2022] [Indexed: 11/13/2022] Open
Abstract
This study investigated how children's drawings can provide insights into their cognitive development. It can be challenging to quantify the diversity of children's drawings across their developmental stages as well as between individuals. This study observed children's representational drawing ability by conducting a completion task where children could freely draw on partially drawn objects, and quantitatively analyzed differences in children's drawing tendencies across age and between individuals. First, we conducted preregistered analyses, based on crowd-sourced adult ratings, to investigate the differences of drawing style with the age and autistic traits of the children, where the latter was inspired by reports of atypical drawing among children with autism spectrum disorder (ASD). Additionally, the drawings were quantified using feature representations extracted with a deep convolutional neural network (CNN), which allowed an analysis of the drawings at different perceptual levels (i.e., local or global). Findings revealed a decrease in scribbling and an increase in completion behavior with increasing age. However, no correlation between drawing behavior and autistic traits was found. The network analysis demonstrated that older children adapted to the presented stimuli in a more adult-like manner than younger children. Furthermore, ways to quantify individual differences in how children adapt to the presented stimuli are explored. Based on the predictive coding theory as a unified theory of how perception and behavior might emerge from integrating sensations and predictions, we suggest that our analyses may open up new possibilities for investigating children's cognitive development.
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Valagussa G, Piscitelli D, Baruffini S, Panzeri V, Perin C, Mazzucchelli M, Cornaggia CM, Pellicciari L, Grossi E. Little Evidence for Conservative Toe Walking Interventions in Autism Spectrum Disorders: a Systematic Review. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2022. [DOI: 10.1007/s40489-022-00329-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
AbstractThis systematic review summarizes the evidence about toe walking (TW) interventions in persons with autism. Following the PRISMA guidelines, a systematic search of MEDLINE, CINAHL, PsycINFO, The Cochrane Library, Google Scholar, and Opengrey was performed. Nine articles (all case reports or case series) were included. Methodological quality was assessed using the Mayo Evidence-Based Practice Centre tool. The included studies considered 17 subjects (16 males; age range: 4–15 years). All studies reported a reduction of TW frequency, but the follow-up was lacking in seven studies. There is a lack of high-quality studies with a sufficiently large and well-characterized sample to assess the effectiveness of TW interventions in autistic persons. These findings strongly support the need for further research in this area.
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Bhat AN, Boulton AJ, Tulsky DS. A further study of relations between motor impairment and social communication, cognitive, language, functional impairments, and repetitive behavior severity in children with ASD using the SPARK study dataset. Autism Res 2022; 15:1156-1178. [PMID: 35357764 DOI: 10.1002/aur.2711] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 01/17/2022] [Accepted: 03/07/2022] [Indexed: 12/11/2022]
Abstract
Motor impairments are pervasive and persistent in children with autism spectrum disorder (ASD) throughout childhood and adolescence. Based on recent studies examining motor impairments in children with ASD between 5 and 15 years (i.e., SPARK study sample), 87-88% of this population is at-risk for a motor impairment, these problems persisted until 15 years, and related to their core (social communication skills and repetitive behaviors [RBs]) and comorbid (language, cognitive, and functional) impairments. Persistent motor impairments extending into adolescence/adulthood could negatively impact their independent daily living skills, physical fitness/activity levels, and physical/mental health. While multiple studies have examined relations between motor dimensions and core/comorbid impairments in young children with ASD, few studies have examined such relations in school-age children/adolescents with ASD. This paper conducts a further multidimensional study of which motor domains (i.e., gross-motor including visuo-motor or multilimb coordination/planning, fine motor [FM] or general coordination [GC] skills) best distinguish subgroups of school-age children/adolescents with ASD and help predict core and comorbid impairments after accounting for age and sex. Visuomotor, FM and certain GC skills were better at explaining variations in/predicting social communication impairments whereas FM skills were slightly better at explaining variations in/predicting RB severity. Multilimb coordination/planning and FM skills explained variations in/predicted cognitive delays whereas visuomotor and FM skills explained variations in and better predicted language delays. All three motor dimensions explained variations in/predicted functional delays. This study provides further evidence for inclusion of motor impairments within the ASD definition (criteria or specifiers). LAY SUMMARY: Gross-motor skills were related to social communication and functional delays of children with ASD (visuomotor skills related to language delays and multilimb coordination/planning skills related to cognitive delays). Fine-motor skills were related to repetitive behavior severity, language, cognitive, and functional delays in ASD. Diagnosticians should recommend systematic motor screening, further evaluations, and treatments for children at-risk for and diagnosed with ASD. Motor advocacy and enhanced public/clinical community awareness is needed to fulfill the unmet motor needs of children with ASD.
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Affiliation(s)
- Anjana N Bhat
- Department of Physical Therapy, University of Delaware, Newark, Delaware, USA.,Biomechanics & Movement Science Program, University of Delaware, Newark, Delaware, USA.,Department of Psychological & Brain Sciences, University of Delaware, Newark, Delaware, USA
| | - Aaron J Boulton
- Department of Physical Therapy, University of Delaware, Newark, Delaware, USA.,Department of Psychological & Brain Sciences, University of Delaware, Newark, Delaware, USA.,Center for Health Assessment Research and Translation, University of Delaware, Newark, Delaware, USA
| | - David S Tulsky
- Department of Physical Therapy, University of Delaware, Newark, Delaware, USA.,Department of Psychological & Brain Sciences, University of Delaware, Newark, Delaware, USA.,Center for Health Assessment Research and Translation, University of Delaware, Newark, Delaware, USA
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7
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Automatic Assessment of Motor Impairments in Autism Spectrum Disorders: A Systematic Review. Cognit Comput 2022. [DOI: 10.1007/s12559-021-09940-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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8
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Nascimento IBD, Bitencourt CR, Fleig R. Estratégias para o transtorno do espectro autista: interação social e intervenções terapêuticas. JORNAL BRASILEIRO DE PSIQUIATRIA 2021. [DOI: 10.1590/0047-2085000000326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
RESUMO Objetivo: Identificar os fatores que dificultam as intervenções terapêuticas motoras em crianças com transtorno do espectro autista. Métodos: Foram utilizadas as bases de dados PubMed, Web of Science, Scopus e LILACS. Uma pesquisa de literatura cinzenta foi conduzida com acadêmico do Google. PRISMA foi usado, bem como a análise de risco de viés adaptada do Cochrane Manual para ensaios clínicos e, para outros estudos, foi utilizada a lista de verificação Downs e Black. Resultados: Dezessete artigos científicos foram incluídos na análise de síntese qualitativa sobre estratégias para interação social e motora em pacientes com transtorno do espectro autista. Quatorze artigos científicos alcançaram pontuações aceitáveis na escala de Downs e Black, e três ensaios clínicos indicaram domínios satisfatórios. Pessoas com transtorno do espectro autista apresentaram percentuais acima de 30%, com dificuldades de comportamentos sociáveis, de aprendizagem e de comunicação. O diagnóstico adequado e a preconização de um plano de tratamento para o desenvolvimento da motricidade são estratégias fundamentais e de ordem prioritária, uma vez que possibilitarão uma análise quantitativa ao longo da vida do autista, assim como proporcionarão uma maior viabilidade de análise das habilidades cognitivas. Conclusão: A dificuldade de comportamento social do indivíduo com transtorno do espectro autista pode ser o ponto-alvo nas suas limitações de aprendizagem motora. Portanto, a concepção metodológica com a prática de imitação, associada a uma dinâmica prazerosa do exercício rítmico, é a melhor sugestão para contemplar o direcionamento das pesquisas contemporâneas, uma vez que, quando prevalece a inter-relação entre interação social, aprendizagem motora e percepções sensoriais, os desfechos são mais significativos para essas crianças.
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Affiliation(s)
| | | | - Raquel Fleig
- Universidade do Estado de Santa Catarina, Brasil
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9
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Bhat AN. Motor Impairment Increases in Children With Autism Spectrum Disorder as a Function of Social Communication, Cognitive and Functional Impairment, Repetitive Behavior Severity, and Comorbid Diagnoses: A SPARK Study Report. Autism Res 2021; 14:202-219. [PMID: 33300285 PMCID: PMC8176850 DOI: 10.1002/aur.2453] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 10/27/2020] [Accepted: 11/03/2020] [Indexed: 12/15/2022]
Abstract
Eighty-seven percent of a large sample of children with autism spectrum disorder (ASD) are at risk for motor impairment (Bhat, Physical Therapy, 2020, 100, 633-644). In spite of the high prevalence for motor impairment in children with ASD, it is not considered among the diagnostic criteria or specifiers within DSM-V. In this article, we analyzed the SPARK study dataset (n = 13,887) to examine associations between risk for motor impairment using the Developmental Coordination Disorder-Questionnaire (DCD-Q), social communication impairment using the Social Communication Questionnaire (SCQ), repetitive behavior severity using the Repetitive Behaviors Scale - Revised (RBS-R), and parent-reported categories of cognitive, functional, and language impairments. Upon including children with ASD with cognitive impairments, 88.2% of the SPARK sample was at risk for motor impairment. The relative risk ratio for motor impairment in children with ASD was 22.2 times greater compared to the general population and that risk further increased up to 6.2 with increasing social communication (5.7), functional (6.2), cognitive (3.8), and language (1.6) impairments as well as repetitive behavior severity (5.0). Additionally, the magnitude of risk for motor impairment (fine- and gross-motor) increased with increasing severity of all impairment types with medium to large effects. These findings highlight the multisystem nature of ASD, the need to recognize motor impairments as one of the diagnostic criteria or specifiers for ASD, and the need for appropriate motor screening and assessment of children with ASD. Interventions must address not only the social communication and cognitive/behavioral challenges of children with ASD but also their motor function and participation. LAY ABSTRACT: Eighty-eight percent of the SPARK sample of children with ASD were at risk for motor impairment. The relative risk for motor impairment was 22.2 times greater in children with ASD compared to the general population and the risk increased with more social communication, repetitive behavior, cognitive, and functional impairment. It is important to recognize motor impairments as one of the diagnostic criteria or specifiers for ASD and there is a need to administer appropriate motor screening, assessment, and interventions in children with ASD.
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Affiliation(s)
- Anjana N Bhat
- Department of Physical Therapy, University of Delaware, Newark, Delaware, USA
- Biomechanics & Movement Science Program, University of Delaware, Newark, Delaware, USA
- Department of Psychological & Brain Sciences, University of Delaware, Newark, Delaware, USA
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10
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Philippsen A, Nagai Y. Deficits in Prediction Ability Trigger Asymmetries in Behavior and Internal Representation. Front Psychiatry 2020; 11:564415. [PMID: 33329104 PMCID: PMC7716881 DOI: 10.3389/fpsyt.2020.564415] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 10/20/2020] [Indexed: 12/22/2022] Open
Abstract
Predictive coding is an emerging theoretical framework for explaining human perception and behavior. The proposed underlying mechanism is that signals encoding sensory information are integrated with signals representing the brain's prior prediction. Imbalance or aberrant precision of the two signals has been suggested as a potential cause for developmental disorders. Computational models may help to understand how such aberrant tendencies in prediction affect development and behavior. In this study, we used a computational approach to test the hypothesis that parametric modifications of prediction ability generate a spectrum of network representations that might reflect the spectrum from typical development to potential disorders. Specifically, we trained recurrent neural networks to draw simple figure trajectories, and found that altering reliance on sensory and prior signals during learning affected the networks' performance and the emergent internal representation. Specifically, both overly strong or weak reliance on predictions impaired network representations, but drawing performance did not always reflect this impairment. Thus, aberrant predictive coding causes asymmetries in behavioral output and internal representations. We discuss the findings in the context of autism spectrum disorder, where we hypothesize that too weak or too strong a reliance on predictions may be the cause of the large diversity of symptoms associated with this disorder.
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Affiliation(s)
- Anja Philippsen
- International Research Center for Neurointelligence (IRCN), The University of Tokyo, Tokyo, Japan
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11
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Cantin-Garside KD, Srinivasan D, Ranganathan S, White SW, Nussbaum MA. Multi-level modeling with nonlinear movement metrics to classify self-injurious behaviors in autism spectrum disorder. Sci Rep 2020; 10:16699. [PMID: 33028829 PMCID: PMC7542156 DOI: 10.1038/s41598-020-73155-4] [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: 05/27/2020] [Accepted: 09/14/2020] [Indexed: 11/09/2022] Open
Abstract
Self-injurious behavior (SIB) is among the most dangerous concerns in autism spectrum disorder (ASD), often requiring detailed and tedious management methods. Sensor-based behavioral monitoring could address the limitations of these methods, though the complex problem of classifying variable behavior should be addressed first. We aimed to address this need by developing a group-level model accounting for individual variability and potential nonlinear trends in SIB, as a secondary analysis of existing data. Ten participants with ASD and SIB engaged in free play while wearing accelerometers. Movement data were collected from > 200 episodes and 18 different types of SIB. Frequency domain and linear movement variability measures of acceleration signals were extracted to capture differences in behaviors, and metrics of nonlinear movement variability were used to quantify the complexity of SIB. The multi-level logistic regression model, comprising of 12 principal components, explained > 65% of the variance, and classified SIB with > 75% accuracy. Our findings imply that frequency-domain and movement variability metrics can effectively predict SIB. Our modeling approach yielded superior accuracy than commonly used classifiers (~ 75 vs. ~ 64% accuracy) and had superior performance compared to prior reports (~ 75 vs. ~ 69% accuracy) This work provides an approach to generating an accurate and interpretable group-level model for SIB identification, and further supports the feasibility of developing a real-time SIB monitoring system.
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Affiliation(s)
| | - Divya Srinivasan
- Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA
| | | | - Susan W White
- Center for Youth Development and Intervention, Department of Psychology, University of Alabama, Tuscaloosa, AL, USA
| | - Maury A Nussbaum
- Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA.
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12
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Bhat AN. Is Motor Impairment in Autism Spectrum Disorder Distinct From Developmental Coordination Disorder? A Report From the SPARK Study. Phys Ther 2020; 100:633-644. [PMID: 32154876 PMCID: PMC7297441 DOI: 10.1093/ptj/pzz190] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 04/23/2019] [Accepted: 10/09/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Motor impairments are pervasive in Autism Spectrum Disorder (ASD); however, children with ASD rarely receive a dual diagnosis of Developmental Coordination Disorder (DCD). The Simons Foundation SPARK study engaged families affected by ASD through an online study. OBJECTIVES The DCD parent questionnaire (DCDQ) was used to assess the prevalence of a risk for motor impairment or DCD in children with ASD between 5 and 15 years of age. DESIGN This study utilizes parent reports from a large database of children with ASD. METHODS A total of 16,705 parents of children with ASD completed the DCDQ. We obtained our final SPARK dataset (n = 11,814) after filtering out invalid data, using stronger cut-offs to confirm ASD traits, and excluding children with general neuromotor impairments/intellectual delays. We compared DCDQ total and subscale scores from the SPARK dataset with published norms for each age between 5 and 15 years. RESULTS The proportion of children with ASD at risk for a motor impairment was very high at 86.9%. Children with ASD did not outgrow their motor impairments and continued to present with a risk for DCD even into adolescence. Yet, only 31.6% of children were receiving physical therapy services. LIMITATIONS Our analysis of a large database of parent-reported outcomes using the DCDQ did not involve follow-up clinical assessments. CONCLUSIONS Using a large sample of children with ASD, this study shows that a risk for motor impairment or DCD was present in most children with ASD and persists into adolescence; however, only a small proportion of children with ASD were receiving physical therapist interventions. A diagnosis of ASD must trigger motor screening, evaluations, and appropriate interventions by physical and occupational therapists to address the functional impairments of children with ASD while also positively impacting their social communication, cognition, and behavior. Using valid motor measures, future research must determine if motor impairment is a fundamental feature of ASD.
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Affiliation(s)
- Anjana Narayan Bhat
- A.N. Bhat, PT, PhD, Department of Physical Therapy, University of Delaware, 540 South College Avenue, Newark, DE 19713 (USA); and Biomechanics & Movement Science Program, University of Delaware; and Department of Psychological & Brain Sciences, University of Delaware,Address all correspondence to Dr Bhat at:
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13
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Grace N, Johnson BP, Rinehart NJ, Enticott PG. Are Motor Control and Regulation Problems Part of the ASD Motor Profile? A Handwriting Study. Dev Neuropsychol 2018; 43:581-594. [PMID: 30124332 DOI: 10.1080/87565641.2018.1504948] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
The primary aim of this study was to kinematically assess how children with autism spectrum disorder (ASD) plan and control their handwriting actions. Forty-three boys aged between 8 to 12 years were included in the present analysis; 23 with ASD and 20 typically developing (TD) controls. Sophisticated objective and quantifiable assessment of movement metrics and dynamics was applied across a series of basic cursive handwriting sequences. Children with ASD demonstrated atypical control of handwriting metrics and dynamics, as well as significantly greater neuromotor noise relative to age-matched peers. They also engaged in less regular monitoring and regulation of their movement during the handwriting task. This study provides new insights into the way children with ASD plan and sequence their handwriting movements. Overall, results revealed that even at a basic level, children with ASD appear to have a breakdown in their ability to control and regulate their handwriting movements. This has important implications for the school-aged child who constantly engages in handwriting tasks within the classroom environment and provides insight into possible directions for future intervention.
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Affiliation(s)
- Nicci Grace
- a Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences , Monash University , Melbourne , Australia
| | - Beth P Johnson
- b Bellgrove Laboratory, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences , Monash University , Melbourne , Australia
| | - Nicole J Rinehart
- c School of Psychology, Faculty of Health , Deakin University , Melbourne , Australia
| | - Peter G Enticott
- d Cognitive Neuroscience Unit and Deakin Child Study Centre, School of Psychology , Deakin University , Melbourne , Australia
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14
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Kaur M, M Srinivasan S, N Bhat A. Comparing motor performance, praxis, coordination, and interpersonal synchrony between children with and without Autism Spectrum Disorder (ASD). RESEARCH IN DEVELOPMENTAL DISABILITIES 2018; 72:79-95. [PMID: 29121516 PMCID: PMC5743591 DOI: 10.1016/j.ridd.2017.10.025] [Citation(s) in RCA: 118] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Revised: 10/30/2017] [Accepted: 10/30/2017] [Indexed: 05/19/2023]
Abstract
Children with Autism Spectrum Disorder (ASD) have basic motor impairments in balance, gait, and coordination as well as autism-specific impairments in praxis/motor planning and interpersonal synchrony. Majority of the current literature focuses on isolated motor behaviors or domains. Additionally, the relationship between cognition, symptom severity, and motor performance in ASD is unclear. We used a comprehensive set of measures to compare gross and fine motor, praxis/imitation, motor coordination, and interpersonal synchrony skills across three groups of children between 5 and 12 years of age: children with ASD with high IQ (HASD), children with ASD with low IQ (LASD), and typically developing (TD) children. We used the Bruininks-Oseretsky Test of Motor Proficiency and the Bilateral Motor Coordination subtest of the Sensory Integration and Praxis Tests to assess motor performance and praxis skills respectively. Children were also examined while performing simple and complex rhythmic upper and lower limb actions on their own (solo context) and with a social partner (social context). Both ASD groups had lower gross and fine motor scores, greater praxis errors in total and within various error types, lower movement rates, greater movement variability, and weaker interpersonal synchrony compared to the TD group. In addition, the LASD group had lower gross motor scores and greater mirroring errors compared to the HASD group. Overall, a variety of motor impairments are present across the entire spectrum of children with ASD, regardless of their IQ scores. Both, fine and gross motor performance significantly correlated with IQ but not with autism severity; however, praxis errors (mainly, total, overflow, and rhythmicity) strongly correlated with autism severity and not IQ. Our study findings highlight the need for clinicians and therapists to include motor evaluations and interventions in the standard-of-care of children with ASD and for the broader autism community to recognize dyspraxia as an integral part of the definition of ASD.
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Affiliation(s)
- Maninderjit Kaur
- Physical Therapy Department & The Biomechanics & Movement Science Program, University of Delaware, Newark, DE 19713, USA
| | - Sudha M Srinivasan
- Physical Therapy Department & The Biomechanics & Movement Science Program, University of Delaware, Newark, DE 19713, USA
| | - Anjana N Bhat
- Physical Therapy Department & The Biomechanics & Movement Science Program, University of Delaware, Newark, DE 19713, USA; Physical Therapy Program, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA; Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, CT 06269, USA.
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