Top

Journal of Autism and Developmental Disorders

Gepubliceerd in:

06-09-2022 | Original Paper

Network Structure of Autism Spectrum Disorder Behaviors and Its Evolution in Preschool Children: Insights from a New Longitudinal Network Analysis Method

Auteurs: Farhad Montazeri, Jan K. Buitelaar, Iris J. Oosterling, Annelies de Bildt, George M. Anderson

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 11/2023

Abstract

Network modeling of the social, communication and restrictive/repetitive behaviors (RRBs) included in the definition of Autism Spectrum Disorder was performed. The Autism Diagnostic Interview-Revised (ADI-R) assessed behaviors in 139 pre-school cases at two cross-sections that averaged 34.8 months apart. Cross-sectional networks were based on the correlation matrix of the ADI-R behavioral items and the “bootCross” method was developed and enabled the estimation of a longitudinal network. At both stages, RRB items/nodes formed a consistent peripheral cluster, while social and communication nodes formed a core cluster that diverged with time. These differences in the nature and evolution of the RRB and socio-communicative dimensions indicate that their inter-behavior dynamics are very different. The most central behaviors across stages are proposed as prime targets for efficient therapeutic intervention.

vorige artikel Atypical Semantic Fluency and Recall in Children and Adolescents with Autism Spectrum Disorders Associated with Autism Symptoms and Adaptive Functioning

volgende artikel Adaptation and pilot implementation of the Psychosocial Assessment Tool for Autism Spectrum Disorders (PAT-ASD)

Alleen toegankelijk voor geautoriseerde gebruikers

RMSEA is a measure of absolute fit that assesses the discrepancy related to approximation in the population, and corrected for model complexity through the division by the degrees of freedom. CFI and TLI measure incremental fit that assess how much the specified model is superior to an alternative “baseline” model in reproducing the observed covariance matrix. The baseline model is usually a null model of uncorrelated variables.

American Psychiatric Association. (1980). Diagnostic and Statistical Manual of Mental Disorders (DSM-3®). American Psychiatric Pub.

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub.

Anderson, G. M., Montazeri, F., & de Bildt, A. (2015). Network approach to autistic traits: Group and subgroup analyses of ADOS item scores. Journal of Autism and Developmental Disorders, 45(10), 3115–3132.CrossRefPubMed

Baker, J. P. (2013). Autism at 70–redrawing the boundaries. The New England Journal of Medicine, 369(12), 1089.CrossRefPubMed

Beard, C., Millner, A. J., Forgeard, M. J., Fried, E. I., Hsu, K. J., Treadway, M. T., Leonard, C. V., Kertz, S. J., & Björgvinsson, T. (2016). Network analysis of depression and anxiety symptom relationships in a psychiatric sample. Psychological Medicine, 46(16), 3359–3369.CrossRefPubMedPubMedCentral

Berument, S. K., Rutter, M., Lord, C., Pickles, A., & Bailey, A. (1999). Autism screening questionnaire: Diagnostic validity. The British Journal of Psychiatry, 175(5), 444–451.CrossRefPubMed

Bollen, K. A. (1989). Structural equations with latent variables (Vol. 210). Wiley

Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5–13.CrossRefPubMedPubMedCentral

Borsboom, D., & Cramer, A. O. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91–121. https://doi.org/10.1146/annurev-clinpsy-050212-185608CrossRefPubMed

Boschloo, L., van Borkulo, C. D., Rhemtulla, M., Keyes, K. M., Borsboom, D., & Schoevers, R. A. (2015). The network structure of symptoms of the diagnostic and statistical manual of mental disorders. PLoS ONE, 10(9), e0137621.CrossRefPubMedPubMedCentral

Briganti, G., Kempenaers, C., Braun, S., Fried, E. I., & Linkowski, P. (2018). Network analysis of empathy items from the interpersonal reactivity index in 1973 young adults. Psychiatry Research, 265, 87–92.CrossRefPubMed

Bringmann, L. F., & Eronen, M. I. (2018). Don’t blame the model: Reconsidering the network approach to psychopathology. Psychological Review, 125(4), 606.CrossRefPubMed

Cramer, A. O., Waldorp, L. J., van der Maas, H. L., & Borsboom, D. (2010). Complex realities require complex theories: Refining and extending the network approach to mental disorders. Behav Brain Sciences, 33, 178–193.CrossRef

Csardi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal, Complex Systems, 1695(5), 1–9.

De Beurs, D., Fried, E. I., Wetherall, K., Cleare, S., O’ Connor, D. B., Ferguson, E., & O’ Connor, R. C. (2019). Exploring the psychology of suicidal ideation: A theory driven network analysis. Behaviour Research and Therapy, 120, 103419.CrossRefPubMed

Dietz, C., Swinkels, S., van Daalen, E., van Engeland, H., & Buitelaar, J. K. (2006). Screening for autistic spectrum disorder in children aged 14–15 months. II: Population screening with the Early Screening of Autistic Traits Questionnaire (ESAT). Design and general findings. Journal of Autism and Developmental Disorders., 36(6), 713–722.CrossRefPubMed

Epskamp, S. (2020). Psychometric network models from time-series and panel data. Psychometrika, 1–26.

Epskamp, S., Borsboom, D., & Fried, E. I. (2018a). Estimating Psychological Networks and their Accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195–212.CrossRefPubMed

Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617.CrossRefPubMed

Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018b). The Gaussian graphical model in cross-sectional and time-series data. Multivariate Behavioral Research, 53(4), 453–480.CrossRefPubMed

Frazier, T. W., Youngstrom, E. A., Speer, L., Embacher, R., Law, P., Constantino, J., Robert, L., Findling, M. D., Antonio, Y., Hardan, M. D., & Eng, C. (2012). Validation of proposed DSM-5 criteria for autism spectrum disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 51(1), 28–40.CrossRef

Goekoop, R., & Goekoop, J. G. (2014). A network view on psychiatric disorders: Network clusters of symptoms as elementary syndromes of psychopathology. PLoS ONE, 9(11), e112734.CrossRefPubMedPubMedCentral

Golino, H. F., & Epskamp, S. (2017). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PLoS ONE, 12(6), e0174035.CrossRefPubMedPubMedCentral

Hu, L. T., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 76–99). Sage Publications Inc.

Isvoranu, A. M., & Epskamp, S. (2021). Continuous and ordered categorical data in network psychometrics: Which estimation method to choose? Deriving Guidelines for Applied Researchers Psychological Methods. https://doi.org/10.1037/met0000439CrossRefPubMed

Lai, K., Yuen, E., Hung, S. F., & Leung, P. (2021). Autism diagnostic interview-revised within DSM-5 framework: Test of reliability and validity in chinese children. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-021-05079-5CrossRefPubMedPubMedCentral

Lord, C., Rutter, M., & Le Couteur, A. (1994). Autism Diagnostic Interview-Revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders, 24(5), 659–685.CrossRefPubMed

McNally, R. J. (2016). Can network analysis transform psychopathology? Behaviour Research and Therapy, 86, 95–104.CrossRefPubMed

McNally, R. J., Robinaugh, D. J., Wu, G. W. Y., Wang, L., Deserno, M. K., & Borsboom, D. (2015). Mental disorders as causal systems: A network approach to posttraumatic stress disorder. Clinical Psychological Science., 3(6), 836–849.CrossRef

Monk, N., McLeod, G., Mulder, R., Spittlehouse, J., & Boden, J. (2021). Childhood anxious/withdrawn behaviour and later anxiety disorder: A network outcome analysis of a population cohort. Psychological Medicine. https://doi.org/10.1017/S0033291721002889CrossRefPubMedPubMedCentral

Montazeri, F., de Bildt, A., Dekker, V., & Anderson, G. M. (2019). Network analysis of anxiety in the autism realm. Journal of Autism and Developmental Disorders, 49(6), 2219–2230.CrossRefPubMed

Montazeri, F., de Bildt, A., Dekker, V., & Anderson, G. M. (2020). Network analysis of behaviors in the depression and autism realms: Inter-relationships and clinical implications. Journal of Autism and Developmental Disorders, 50(5), 1580–1595.CrossRefPubMed

Oosterling, I. J., Wensing, M., Swinkels, S. H., Van Der Gaag, R. J., Visser, J. C., Woudenberg, T., Minderaa, R., Steenhuis, M.-P., & Buitelaar, J. K. (2010). Advancing early detection of autism spectrum disorder by applying an integrated two-stage screening approach. Journal of Child Psychology and Psychiatry, 51(3), 250–258.CrossRefPubMed

Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32(3), 245–251.CrossRef

Reichardt, J., & Bornholdt, S. (2006). Statistical mechanics of community detection. Physical Review E, 74(1), 016110.CrossRef

Revelle, W., & Revelle, M. W. (2015). Package ‘psych.’ The Comprehensive R Archive Network, 337, 338.

Rigdon, E. E. (2010). Polychoric correlation coefficient. In N. Salkind (Ed.), Encyclopedia of research design (pp. 1046–1049). Sage.

Rigdon, E. E., & Ferguson, C. E., Jr. (1991). The performance of the polychoric correlation coefficient and selected fitting functions in confirmatory factor analysis with ordinal data. Journal of Marketing Research, 28, 491–497.CrossRef

Robinaugh, D. J., Hoekstra, R. H., Toner, E. R., & Borsboom, D. (2020). The network approach to psychopathology: A review of the literature 2008–2018 and an agenda for future research. Psychological Medicine, 50(3), 353–366.CrossRefPubMed

Rodebaugh, T. L., Tonge, N. A., Piccirillo, M. L., Fried, E., Horenstein, A., Morrison, A. S., Goldin, P., Gross, J. J., Lim, M. H., Fernandez, K. C., Blanco, C., Schneier, F. R., Bogdan, R., Thompson, R. J., & Heimberg, R. G. (2018). Does centrality in a cross-sectional network suggest intervention targets for social anxiety disorder? Journal of Consulting and Clinical Psychology, 86(10), 831–844.CrossRefPubMedPubMedCentral

Ruzzano, L., Borsboom, D., & Geurts, H. M. (2015). Repetitive behaviors in autism and obsessive-compulsive disorder: New perspectives from a network analysis. Journal of Autism and Developmental Disorders., 45(1), 192–202.CrossRefPubMed

Sideridis, G. D., & Simos, P. (2010). What is the actual correlation between expressive and receptive measures of vocabulary? Approximating the sampling distribution of the correlation coefficient using the bootstrapping method. The International Journal of Educational and Psychological Assessment, 5, 117–133.

Swinkels, S. H., Dietz, C., van Daalen, E., Kerkhof, I. H., van Engeland, H., & Buitelaar, J. K. (2006). Screening for autistic spectrum in children aged 14 to 15 months. I: The development of the Early Screening of Autistic Traits Questionnaire (ESAT). Journal of Autism and Developmental Disorders, 36(6), 723–732.CrossRefPubMed

van Borkulo, C. D. (2018). Symptom network models in depression research: From methodological exploration to clinical application. University of Groningen.

Van Borkulo, C. D., Boschloo, L., Kossakowski, J., Tio, P., Schoevers, R. A., Borsboom, D., & Waldorp, L. J. (2017). Comparing network structures on three aspects: A permutation test. Manuscript submitted for publication, 10.

Visser, J. C., Rommelse, N. N., Lappenschaar, M., Servatius-Oosterling, I. J., Greven, C. U., & Buitelaar, J. K. (2017). Variation in the early trajectories of autism symptoms is related to the development of language, cognition, and behavior problems. Journal of the American Academy of Child & Adolescent Psychiatry, 56(8), 659–668.CrossRef

Wang, X., Shi, L., Ou, J., Shen, Y., Wang, Y., Lin, J., Cui, X., Liu, R., Wu, R., Xia, K., & Zhao, J. (2020). Network analysis of core and associated symptoms in preschool children with autism spectrum disorder.

Wei, T., Chesnut, S. R., Barnard-Brak, L., & Richman, D. (2015). Psychometric analysis of the Social Communication Questionnaire using an item-response theory framework: Implications for the use of the lifetime and current forms. Journal of Psychopathology and Behavioral Assessment, 37(3), 469–480.CrossRef

Wodka, E. L., Mathy, P., & Kalb, L. (2013). Predictors of phrase and fluent speech in children with autism and severe language delay. Pediatrics, 131(4), e1128–e1134.CrossRefPubMed

Yang, Z., Algesheimer, R., & Tessone, C. J. (2016). A comparative analysis of community detection algorithms on artificial networks. Scientific Reports, 6(1), 1–18.

Zwaigenbaum, L., Bryson, S., Lord, C., Rogers, S., Carter, A., Carver, L., Chawarska, K., Constantino, J., Dawson, G., Dobkins, K., Fein, D., Iverson, J., Klin, A., Landa, R., Messinger, D., Ozonoff, S., Sigman, M., Stone, W., Tager-Flusberg, H., & Yirmiya, N. (2009). Clinical assessment and management of toddlers with suspected autism spectrum disorder: Insights from studies of high-risk infants. Pediatrics, 123(5), 1383–1391.CrossRefPubMed

Titel: Network Structure of Autism Spectrum Disorder Behaviors and Its Evolution in Preschool Children: Insights from a New Longitudinal Network Analysis Method
Auteurs: Farhad Montazeri
Jan K. Buitelaar
Iris J. Oosterling
Annelies de Bildt
George M. Anderson
Publicatiedatum: 06-09-2022
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 11/2023
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-022-05723-8

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Andere artikelen Uitgave 11/2023

Clinical Validation of Feeding Handicap Index for Children (FHI-C)

Cross-Cultural Comparison of the Contexts Associated with Emotional Outbursts

Examining Treatment Outcomes Across Contexts: How Do Child Baseline Characteristics Impact Measurement of Treatment Response?

How have Participation Outcomes of Autistic Young Adults been Measured? A Scoping Review

A Randomized Controlled Trial for Audiovisual Multisensory Perception in Autistic Youth

Do Autistic People’s Support Needs and Non-Autistic People’s Support for the Neurodiversity Movement Contribute to Heightened Autism Stigma in South Korea vs. the US?