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Current Status and Future Directions

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Handbook of Assessment and Diagnosis of Autism Spectrum Disorder

Part of the book series: Autism and Child Psychopathology Series ((ACPS))

Abstract

This chapter provides a summary of the book. The focus is on where we are currently in our knowledge and technology on how to assess autism. The authors also discuss future possible developments in the field.

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References

  • Adams, J. B., Johansen, L. J., Powell, L. D., Quig, D., & Rubin, R. A. (2011). Gastrointestinal flora and gastrointestinal status in children with autism—comparisons to typical children and correlation with autism severity. BMC Gastroenterology, 11(1), 22.

    PubMed  PubMed Central  Google Scholar 

  • Anagnostou, E., & Taylor, M. J. (2011). Review of neuroimaging in autism spectrum disorders: What have we learned and where we go from here. Molecular Autism, 2(4), 1–9.

    Google Scholar 

  • Anderson, D. K., Liang, J. W., & Lord, C. (2014). Predicting young adult outcome among more and less cognitively able individuals with autism spectrum disorders. Journal of Child Psychology and Psychiatry, 55(5), 485–494.

    PubMed  Google Scholar 

  • Arunyanart, W., Fenick, A., Ukritchon, S., Imjaijitt, W., Northrup, V., & Weitzman, C. (2012). Developmental and autism screening: A survey across six states. Infants and Young Children, 25, 175–187.

    Google Scholar 

  • Baio, J. (2012). Prevalence of autism spectrum disorders: Autism and Developmental Disabilities Monitoring Network, 14 Sites, United States, 2008. Morbidity and Mortality Weekly Report. Surveillance Summaries, 61(3), 1–19.

    Google Scholar 

  • Baird, G., Charman, T., Pickles, A., Chandler, S., Loucas, T., Meldrum, D., … Simonoff, E. (2008). Regression, developmental trajectory and associated problems in disorders in the autism spectrum: The SNAP study. Journal of Autism and Developmental Disorders, 38(10), 1827–1836.

    Google Scholar 

  • Barger, B. D., Campbell, J. M., & McDonough, J. D. (2013). Prevalence of regression in autism: A quantitative synthesis. Journal of Autism and Developmental Disorders, 43, 817–828.

    PubMed  Google Scholar 

  • Bishop-Fitzpatrick, L., Minshew, N. J., & Eack, S. M. (2013). A systematic review of psychosocial interventions for adults with autism spectrum disorders. Journal of Autism and Developmental Disorders, 43(3), 687–694.

    PubMed  PubMed Central  Google Scholar 

  • Centers for Disease Control and Prevention. (2012). Prevalence of autism spectrum disorders: Autism and developmental disabilities monitoring network, 14 sites, United States, 2008. Morbidity and Mortality Weekly Report. Surveillance Summaries, 61, 1–19.

    Google Scholar 

  • Coyne, J. C., & Gottlieb, B. H. (1996). The mismeasure of coping by checklist. Journal of Personality, 64(4), 959–991.

    PubMed  Google Scholar 

  • Crais, E. R., McComish, C. S., Humphreys, B. P., Watson, L. R., Baranek, G. T., Reznick, J. S. … Earls, M. (2014). Pediatric healthcare professionals’ views on autism spectrum disorder screening at 12-18 months. Journal of Autism and Developmental Disorders, 44, 2311–2328.

    Google Scholar 

  • Daley, T. C. (2004). From symptom recognition to diagnosis: Children with autism in urban India. Social Science & Medicine, 58(7), 1323–1335.

    Google Scholar 

  • Damiano, C. R., Mazefsky, C. A., White, S. W., & Dichter, G. S. (2014). Future directions for research in autism spectrum disorders. Journal of Clinical Child & Adolescent Psychology, 43(5), 828–843.

    Google Scholar 

  • Desbonnet, L., Clarke, G., Shanahan, F., Dinan, T. G., & Cryan, J. F. (2014). Microbiota is essential for social development in the mouse. Molecular Psychiatry, 19(2), 146–148.

    PubMed  Google Scholar 

  • Dinan, T. G., & Cryan, J. F. (2013). Melancholic microbes: A link between gut microbiota and depression? Neurogastroenterology & Motility, 25(9), 713–719.

    Google Scholar 

  • Dingfelder, H. E., & Mandell, D. S. (2011). Bridging the research-to-practice gap in autism intervention: An application of diffusion of innovation theory. Journal of Autism and Developmental Disorders, 41(5), 597–609.

    PubMed  PubMed Central  Google Scholar 

  • Dinstein, I., Pierce, K., Eyler, L., Solso, S., Malach, R., Behrmann, M., et al. (2011). Disrupted neural synchronization in toddlers with autism. Neuron, 70(6), 1218–1225.

    PubMed  PubMed Central  Google Scholar 

  • dosReis, S., Weiner, C. L., Johnson, L., & Newschaffer, C. J. (2006). Autism spectrum disorder screening and management practices among general pediatric providers. Developmental and Behavioral Pediatrics, 27, S85–S94.

    Google Scholar 

  • Elsabbagh, M., Mercure, E., Hudry, K., Chandler, S., Pasco, G., Charman, T., … BASIS Team. (2012). Infant neural sensitivity to dynamic eye gaze is associated with later emerging autism. Current Biology, 22(4), 338–342.

    Google Scholar 

  • Ecker, C., & Murphy, D. (2014). Neuroimaging in autism – from basic science to translational research. Nature Reviews Neurology, 10(2), 82–91.

    Google Scholar 

  • Fein, D., Barton, M., Eigsti, I. M., Kelley, E., Naigles, L., Schultz, R. T., … Tyson, K. (2013). Optimal outcome in individuals with a history of autism. Journal of Child Psychology and Psychiatry, 54(2), 195–205.

    Google Scholar 

  • Gillberg, C. (2010). The ESSENCE in child psychiatry: Early symptomatic syndromes eliciting neurodevelopmental clinical examinations. Research in Developmental Disabilities, 31(6), 1543–1551.

    PubMed  Google Scholar 

  • Gillis, J. M. (2009). Screening practices of family physicians and pediatricians in 2 southern states. Infants & Young Children, 22, 321–331.

    Google Scholar 

  • Goin-Kochel, R. P., Mackintosh, V. H., & Meyers, B. J. (2006). How many doctors does it take to make an autism spectrum diagnosis? Autism, 10, 439–451.

    PubMed  Google Scholar 

  • Hall, D., Huerta, M. F., McAuliffe, M. J., & Farber, G. K. (2012). Sharing heterogeneous data: The national database for autism research. Neuroinformatics, 10(4), 331–339.

    PubMed  PubMed Central  Google Scholar 

  • Hazlett, H. C., Poe, M. D., Gerig, G., Styner, M., Chappell, C., Smith, R. G., … Piven, J. (2011). Early brain overgrowth in autism associated with an increase in cortical surface area before age 2 years. Archives of General Psychiatry, 68(5), 467–476.

    Google Scholar 

  • Henninger, N. A., & Taylor, J. L. (2012). Outcomes in adults with Autism Spectrum Disorders: A historical perspective. Autism, 17(1), 103–116.

    PubMed  PubMed Central  Google Scholar 

  • Honda, H., Shimizu, Y., Imai, M., & Nitto, Y. (2005). Cumulative incidence of childhood autism: A total population study of better accuracy and precision. Developmental Medicine & Child Neurology, 47(01), 10–18.

    Google Scholar 

  • Hurlburt, R. T., Happe, F., & Frith, U. (1994). Sampling the form of inner experience in three adults with Asperger syndrome. Psychological Medicine, 24(02), 385–395.

    PubMed  Google Scholar 

  • Ibanez, L. V., Stone, W. L., & Coonrod, E. E. (2014). Screening for autism in young children. In F. Volkmar, S. Rogers, R. Paul, & K. Pelphrey (Eds.), Handbook of autism and pervasive developmental disorders (4th ed.). New York, NY: Wiley.

    Google Scholar 

  • Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., …Wang, P. (2010). Research Domain Criteria (RDoC): Toward a new classification framework for research on mental disorders. American Journal of Psychiatry, 167(7), 748–751.

    Google Scholar 

  • Jensen, P. S., & Foster, M. (2010). Closing the research to practice gap in children’s mental health: Structures, solutions, and strategies. Administration and Policy in Mental Health and Mental Health Services Research, 37(1–2), 111–119.

    PubMed  Google Scholar 

  • Kanner, L. (1943). Autistic disturbances of affective contact. Nervous Child, 2, 217–250.

    Google Scholar 

  • Kasari, C. (2014). Are we there yet? The state of early prediction and intervention in autism spectrum disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 53(2), 133–134.

    PubMed  PubMed Central  Google Scholar 

  • Khor, A. S., Gray, K. M., Reid, S. C., & Melvin, G. A. (2014). Feasibility and validity of ecological momentary assessment in adolescents with high-functioning autism and Asperger’s disorder. Journal of Adolescence, 37(1), 37–46.

    PubMed  Google Scholar 

  • Klin, A., & Jones, W. (2008). Altered face scanning and impaired recognition of biological motion in a 15-month-old infant with autism. Developmental Science, 11(1), 40–46.

    PubMed  Google Scholar 

  • Klin, A., Lin, D. J., Gorrindo, P., Ramsay, G., & Jones, W. (2009). Two-year-olds with autism orient to non-social contingencies rather than biological motion. Nature, 459(7244), 257–261.

    PubMed  PubMed Central  Google Scholar 

  • Klin, A., McPartland, J., & Volkmar, F. R. (2005). Asperger syndrome. In F. R. Volkmar, L. K. Paul, A. Klin, & D. Cohen (Eds.), Handbook of autism and pervasive developmental disorders: Diagnosis, development, neurobiology, and behavior (pp. 88–125). Hoboken, NJ: Wiley.

    Google Scholar 

  • Landa, R. J., Gross, A. L., Stuart, E. A., & Bauman, M. (2012). Latent class analysis of early developmental trajectory in baby siblings of children with autism. Journal of Child Psychology and Psychiatry, 53(9), 986–996.

    PubMed  Google Scholar 

  • Limperopoulos, C., Bassan, H., Sullivan, N. R., Soul, J. S., Robertson, R. L., Moore, M., … du Plessis, A. J. (2008). Positive screening for autism in ex-preterm infants: Prevalence and risk factors. Pediatrics, 121(4), 758–765.

    Google Scholar 

  • Lord, C., Risi, S., DiLavore, P. S., Shulman, C., Thurm, A., & Pickles, A. (2006). Autism from 2 to 9 years of age. Archives of General Psychiatry, 63(6), 694–701.

    PubMed  Google Scholar 

  • Maenner, M. J., Schieve, L. A., Rice, C. E., Cunniff, C., Giarelli, E., Kirby, R. S., … Durkin, M. S. (2013). Frequency and pattern of documented diagnostic features and the age of autism identification. Journal of the American Academy of Child & Adolescent Psychiatry, 52(4), 401–413

    Google Scholar 

  • Mansell, W., Harvey, A., Watkins, E. R., & Shafran, R. (2008). Cognitive behavioral processes across psychological disorders: A review of the utility and validity of the transdiagnostic approach. International Journal of Cognitive Therapy, 1(3), 181–191.

    Google Scholar 

  • Matson, J. L., Rieske, R. D., & Williams, L. W. (2013). The relationship between autism spectrum disorders and attention-deficit, hyperactivity disorder: An overview. Research in Developmental Disabilities, 34, 2475–2484.

    PubMed  Google Scholar 

  • Matson, J. L., & Williams, L. (2013). Differential diagnosis and co-morbidity: Distinguishing autism and other mental health issues. Neuropsychiatry, 3, 233–244.

    Google Scholar 

  • Mazefsky, C. A., Oswald, D. P., Day, T. N., Eack, S. M., Minshew, N. J., & Lainhart, J. E. (2012). ASD, a psychiatric disorder, or both? Psychiatric diagnoses in adolescents with high-functioning ASD. Journal of Clinical Child and Adolescent Psychology, 41, 516–523.

    PubMed  PubMed Central  Google Scholar 

  • McConnell, S. R. (2002). Interventions to facilitate social interaction for young children with autism: Review of available research and recommendations for educational intervention and future research. Journal of Autism and Developmental Disorders, 32, 351–372.

    PubMed  Google Scholar 

  • Mesibov, G. B., & Shea, V. (2010). The TEACCH program in the era of evidence-based practice. Journal of Autism and Developmental Disorders, 40(5), 570–579.

    PubMed  Google Scholar 

  • Mostafa, M. (2007). An architecture for autism: Concepts of design intervention for the autistic user. International Journal of Architectural Research, 2(1), 189–211.

    Google Scholar 

  • Mulle, J. G., Sharp, W. G., & Cubells, J. F. (2013). The gut microbiome: A new frontier in autism research. Current Psychiatry Reports, 15(2), 1–9.

    Google Scholar 

  • Ozonoff, S., Heung, K., Byrd, R., Hansen, R., & Hertz-Picciotto, I. (2008). The onset of autism: Patterns of symptom emergence in the first years of life. Autism Research, 1(6), 320–328.

    PubMed  PubMed Central  Google Scholar 

  • Ozonoff, S., Iosif, A. M., Baguio, F., Cook, I. C., Hill, M. M., Hutman, T., … Young, G. S. (2010). A prospective study of the emergence of early behavioral signs of autism. Journal of the American Academy of Child & Adolescent Psychiatry, 49(3), 256–266

    Google Scholar 

  • Parmanto, B., Pulantara, I. W., Schutte, J. L., Saptono, A., & McCue, M. P. (2013). An integrated telehealth system for remote administration of an adult autism assessment. Telemedicine and e-Health, 19(2), 88–94.

    PubMed  Google Scholar 

  • Piven, J., & Rabins, P. (2011). Autism spectrum disorders in older adults: Toward defining a research agenda. Journal of the American Geriatrics Society, 59(11), 2151–2155.

    PubMed  Google Scholar 

  • Reese, R. M., Jamison, R., Wendland, M., Fleming, K., Braun, M. J., Schuttler, J. O., et al. (2013). Evaluating interactive videoconferencing for assessing symptoms of autism. Telemedicine and e-Health, 19(9), 671–677.

    PubMed  PubMed Central  Google Scholar 

  • Rogers, S. J. (2009). What are infant siblings teaching us about autism in infancy? Autism Research, 2(3), 125–137.

    PubMed  PubMed Central  Google Scholar 

  • Schwartz, J. E., Neale, J., Marco, C., Shiffman, S. S., & Stone, A. A. (1999). Does trait coping exist? A momentary assessment approach to the evaluation of traits. Journal of Personality and Social Psychology, 77(2), 360.

    PubMed  Google Scholar 

  • Shane, H. C., & Albert, P. D. (2008). Electronic screen media for persons with autism spectrum disorders: Results of a survey. Journal of Autism and Developmental Disorders, 38(8), 1499–1508.

    PubMed  Google Scholar 

  • Stahmer, A. C., & Aarons, G. A. (2009). Attitudes toward adoption of evidence-based practices: A comparison of autism early intervention providers and children’s mental health providers. Psychological Services, 6(3), 223–234.

    PubMed  PubMed Central  Google Scholar 

  • State, M. W., & Levitt, P. (2011). The conundrums of understanding genetic risks for autism spectrum disorders. Nature Neuroscience, 14(12), 1499–1506.

    PubMed  PubMed Central  Google Scholar 

  • Stilling, R. M., Dinan, T. G., & Cryan, J. F. (2014). Microbial genes, brain & behaviour–epigenetic regulation of the gut–brain axis. Genes, Brain and Behavior, 13(1), 69–86.

    PubMed  Google Scholar 

  • Stoner, R., Chow, M. L., Boyle, M. P., Sunkin, S. M., Mouton, P. R., Roy, S., … Courchesne, E. (2014). Patches of disorganization in the neocortex of children with autism. New England Journal of Medicine, 370(13), 1209–1219.

    Google Scholar 

  • Taylor, J. L., & Seltzer, M. M. (2011). Employment and post-secondary educational activities for young adults with autism spectrum disorders during the transition to adulthood. Journal of Autism and Developmental Disorders, 41(5), 566–574.

    PubMed  PubMed Central  Google Scholar 

  • Tomlin, A., Koch, S. M., Raches, C., Minshawi, N. F., & Swiezy, N. B. (2013). Autism screening practices among early intervention providers in Indiana. Infants and Young Children, 26, 74–88.

    Google Scholar 

  • Vivanti, G., Hudry, K., Trembath, D., Barbaro, J., Richdale, A., & Dissanayake, C. (2013). Towards the DSM-5 criteria for autism: Clinical, cultural, and research implications. Australian Psychologist, 48(4), 258–261.

    Google Scholar 

  • Volkmar, F. R., & McPartland, J. C. (2014). From Kanner to DSM-5: Autism as an evolving diagnostic concept. Annual Review of Clinical Psychology, 10, 193–212.

    PubMed  Google Scholar 

  • Volkmar, F. R., State, M., & Klin, A. (2009). Autism and autism spectrum disorders: diagnostic issues for the coming decade. Journal of Child Psychology and Psychiatry, 50(1–2), 108–115.

    Google Scholar 

  • Webb, S. J., & Jones, E. J. H. (2009). Early identification of autism: Early characteristics, onset of symptoms, and diagnostic stability. Infants and Young Children, 22, 100–118.

    PubMed  PubMed Central  Google Scholar 

  • Webster, A., Feiler, A., & Webster, V. (2003). Early intensive family intervention and evidence of effectiveness: Lessons from the south west autism programme. Early Child Development and Care, 173, 383–398.

    Google Scholar 

  • Wetherby, A. M., Woods, J., Allen, L., Cleary, J., Dickinson, H., & Lord, C. (2004). Early indicators of autism spectrum disorders in the second year of life. Journal of Autism and Developmental Disorders, 34(5), 473–493.

    PubMed  Google Scholar 

  • Whalen, C. K., Jamner, L. D., Henker, B., & Delfino, R. J. (2001). Smoking and moods in adolescents with depressive and aggressive dispositions: Evidence from surveys and electronic diaries. Health Psychology, 20(2), 99–111.

    PubMed  Google Scholar 

  • Wiggins, L. D., Baio, J., & Rice, C. (2006). Examination of the time between first evaluation and first autism spectrum diagnosis in a population-based sample. Developmental and Behavioral Pediatrics, 27, S79–S87.

    Google Scholar 

  • Wolff, J. J., Gu, H., Gerig, G., Elison, J. T., Styner, M., Gouttard, S., … IBIS Network. (2014). Differences in white matter fiber tract development present from 6 to 24 months in infants with autism. American Journal of Psychiatry, 169, 589–600.

    Google Scholar 

  • Woods, J. J., & Wetherby, A. M. (2003). Early identification of and intervention for infants and toddlers who are at risk for autism spectrum disorder. Language, Speech, and Hearing Services in Schools, 34, 180–193.

    PubMed  Google Scholar 

  • Yoder, P. J., Oller, D. K., Richards, J. A., Gray, S., & Gilkerson, J. (2013). Stability and validity of an automated measure of vocal development from day-long samples in children with and without Autism Spectrum Disorder. Autism Research, 6(2), 103–107.

    PubMed  PubMed Central  Google Scholar 

  • Young, G. S., Merin, N., Rogers, S. J., & Ozonoff, S. (2009). Gaze behavior and affect at 6 months: Predicting clinical outcomes and language development in typically developing infants and infants at risk for autism. Developmental Science, 12(5), 798–814.

    PubMed  PubMed Central  Google Scholar 

  • Zuckerman, K. E., Mattox, K. E., Donelan, K., Batbayar, O., Baghaee, A., & Bethell, C. (2013). Pediatrician identification of Latino children at risk for autism spectrum disorder. Pediatrics, 132(3), 445–453.

    PubMed  PubMed Central  Google Scholar 

  • Zwaigenbaum, L., Thurm, A., Stone, W., Baranek, G., Bryson, S., Iverson, J., … Sigman, M. (2007). Studying the emergence of autism spectrum disorders in high-risk infants: Methodological and practical issues. Journal of Autism and Developmental Disorders, 37(3), 466–480.

    Google Scholar 

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Authors and Affiliations

  1. Louisiana State University, Baton Rouge, LA, USA

    Lindsey Williams & Johnny L. Matson

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  1. Lindsey Williams
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  2. Johnny L. Matson
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Correspondence to Lindsey Williams .

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Editors and Affiliations

  1. Department of Psychology, Louisiana State University, Baton Rouge, LA, USA

    Johnny L. Matson

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Williams, L., Matson, J.L. (2016). Current Status and Future Directions. In: Matson, J.L. (eds) Handbook of Assessment and Diagnosis of Autism Spectrum Disorder. Autism and Child Psychopathology Series. Springer, Cham. https://doi.org/10.1007/978-3-319-27171-2_23

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